Data Pipeline

Cleaning & Formatting Script

library(tidyverse)
library(readODS)

file_path <- "~/Deidentified 2021-2022 Traffic Test Summary Data copy.ods"

# All sheets except the end-of-year summary
sheets         <- list_ods_sheets(file_path)
monthly_sheets <- sheets[sheets != "End_of_Year_Data"]

# ── clean_sheet() ────────────────────────────────────────────────────────────
# For each monthly sheet:
#   1. Read raw data (no column names)
#   2. Use row 3 as the header
#   3. Keep School, Instructor, and Q1:Q10 columns
#   4. Convert Q columns to numeric
#   5. Limit to rows 4–30 (classroom data only, excluding summary rows)
#   6. Remove rows where ALL Q1:Q10 values are NA (no tests returned)
#   7. Tag with the source month
clean_sheet <- function(sheet_name) {
  raw <- read_ods(file_path, sheet = sheet_name, col_names = FALSE)

  col_names      <- as.character(raw[3, ])
  colnames(raw)  <- col_names
  df             <- raw[4:min(30, nrow(raw)), ]

  df <- df |> select(School, Instructor, Q1, Q2, Q3, Q4, Q5, Q6, Q7, Q8, Q9, Q10)
  df <- df |> mutate(across(Q1:Q10, as.numeric))

  df <- df |>
    filter(
      !is.na(School),
      !str_detect(School, regex("^(Total|Staff|AM|PM|Split)", ignore_case = TRUE))
    )

  df <- df |> filter(!if_all(Q1:Q10, is.na))
  df <- df |> filter(!str_detect(Instructor, "^[0-9]+$"))
  df <- df |> mutate(Instructor = if_else(Instructor == "JP", "JM", Instructor))
  df <- df |> mutate(Instructor = if_else(Instructor == "JP", "JM", Instructor))
  df <- df |> mutate(month = sheet_name, .before = School)
  df
}

# Combine all monthly sheets into one data frame
all_data <- monthly_sheets |>
  map(clean_sheet) |>
  list_rbind()

# ── Domain mapping ────────────────────────────────────────────────────────────
# Q1–Q5  → Car
# Q6–Q8  → Bike
# Q9–Q10 → Ped

long_data <- all_data |>
  pivot_longer(
    cols      = Q1:Q10,
    names_to  = "question",
    values_to = "improvement_pct"
  ) |>
  filter(!is.na(improvement_pct)) |>
  mutate(
    domain = case_when(
      question %in% c("Q1","Q2","Q3","Q4","Q5") ~ "Car",
      question %in% c("Q6","Q7","Q8")           ~ "Bike",
      question %in% c("Q9","Q10")               ~ "Ped"
    ),
    domain   = factor(domain, levels = c("Car", "Bike", "Ped")),
    question = factor(question, levels = paste0("Q", 1:10))
  ) |>
  select(month, School, Instructor, domain, question, improvement_pct)

Descriptive Statistics Script

# ── Overall ───────────────────────────────────────────────────────────────────
desc_overall <- long_data |>
  summarise(
    n      = n(),
    mean   = round(mean(improvement_pct), 2),
    median = round(median(improvement_pct), 2),
    sd     = round(sd(improvement_pct), 2),
    min    = min(improvement_pct),
    max    = max(improvement_pct)
  )

# ── By domain ─────────────────────────────────────────────────────────────────
desc_by_domain <- long_data |>
  summarise(
    n      = n(),
    mean   = round(mean(improvement_pct), 2),
    median = round(median(improvement_pct), 2),
    sd     = round(sd(improvement_pct), 2),
    min    = min(improvement_pct),
    max    = max(improvement_pct),
    .by    = domain
  ) |>
  arrange(domain)

# ── By question ───────────────────────────────────────────────────────────────
desc_by_question <- long_data |>
  summarise(
    n      = n(),
    mean   = round(mean(improvement_pct), 2),
    median = round(median(improvement_pct), 2),
    sd     = round(sd(improvement_pct), 2),
    min    = min(improvement_pct),
    max    = max(improvement_pct),
    .by    = c(domain, question)
  ) |>
  arrange(domain, question)

# ── By month ──────────────────────────────────────────────────────────────────
desc_by_month <- long_data |>
  summarise(
    n      = n(),
    mean   = round(mean(improvement_pct), 2),
    median = round(median(improvement_pct), 2),
    sd     = round(sd(improvement_pct), 2),
    min    = min(improvement_pct),
    max    = max(improvement_pct),
    .by    = month
  )

# ── By domain × month ─────────────────────────────────────────────────────────
desc_domain_month <- long_data |>
  summarise(
    n      = n(),
    mean   = round(mean(improvement_pct), 2),
    median = round(median(improvement_pct), 2),
    sd     = round(sd(improvement_pct), 2),
    .by    = c(month, domain)
  ) |>
  arrange(month, domain)

# ── By instructor ─────────────────────────────────────────────────────────────
desc_by_instructor <- long_data |>
  summarise(
    n      = n(),
    mean   = round(mean(improvement_pct), 2),
    median = round(median(improvement_pct), 2),
    sd     = round(sd(improvement_pct), 2),
    min    = min(improvement_pct),
    max    = max(improvement_pct),
    .by    = Instructor
  ) |>
  arrange(Instructor)

# ── By instructor × domain ────────────────────────────────────────────────────
desc_instructor_domain <- long_data |>
  summarise(
    n      = n(),
    mean   = round(mean(improvement_pct), 2),
    median = round(median(improvement_pct), 2),
    sd     = round(sd(improvement_pct), 2),
    .by    = c(Instructor, domain)
  ) |>
  arrange(Instructor, domain)

Inferential Statistics Script

library(broom)

# ── One-sample t-tests (is improvement significantly different from 0?) ───────

# Overall
ttest_overall <- t.test(long_data$improvement_pct, mu = 0) |> tidy()

# By domain
ttest_by_domain <- long_data |>
  group_by(domain) |>
  summarise(tidy(t.test(improvement_pct, mu = 0)), .groups = "drop")

# By question
ttest_by_question <- long_data |>
  group_by(domain, question) |>
  summarise(tidy(t.test(improvement_pct, mu = 0)), .groups = "drop")

# By instructor
ttest_by_instructor <- long_data |>
  group_by(Instructor) |>
  summarise(tidy(t.test(improvement_pct, mu = 0)), .groups = "drop")

# ── Welch's one-way ANOVA (does improvement differ across domains?) ────────────
anova_result <- oneway.test(improvement_pct ~ domain, data = long_data,
                            var.equal = FALSE)
anova_tidy   <- tidy(anova_result)

# ── Bonferroni post-hoc pairwise comparisons ──────────────────────────────────
posthoc      <- pairwise.t.test(long_data$improvement_pct, long_data$domain,
                                p.adjust.method = "bonferroni")
posthoc_tidy <- tidy(posthoc)

Results

Full Cleaned Data

Cleaned classroom-level improvement percentages (%) by question
Month	School	Instructor	Q1	Q2	Q3	Q4	Q5	Q6	Q7	Q8	Q9	Q10
August	JS	AS	0	0	59	12	-6	59	0	12	35	18
August	JS	AS	0	5	34	16	6	44	11	-6	39	11
August	SH	JM	0	7	79	7	-36	29	43	0	43	0
August	SH	AS	20	50	30	0	0	40	10	30	10	-10
August	SH	WK	25	12	0	32	6	56	0	0	37	-25
August	SH	MG	-24	-17	47	6	-5	6	-24	11	35	18
August	SH	JM	6	0	-6	0	0	24	0	12	71	30
August	MS	SPLIT	6	-7	46	7	0	20	-20	27	60	-7
August	Ft	WK	6	16	11	5	-6	11	-28	5	39	22
August	Ft	SPLIT	5	6	48	16	16	27	32	21	58	16
August	Ft	JM	6	12	6	18	-29	29	12	-6	53	-12
August	Ft	AS	5	20	45	5	-10	10	-10	-10	60	15
August	Ft	AS	6	18	41	6	-6	41	-5	6	53	0
August	Ft	ET	-12	0	38	-12	-25	38	0	0	-12	0
August	FV	AS	0	13	7	7	-6	40	46	-14	47	0
August	FV	JM	13	19	18	19	-12	44	-13	31	50	12
Sept_	NH	JM	15	16	15	15	7	8	-15	0	54	15
Sept_	NH	AS	0	50	14	7	-14	7	43	-15	42	-50
Sept_	S	ET	6	11	39	11	-11	39	-5	0	56	34
Sept_	S	AS	0	17	27	0	-11	22	-17	0	50	22
Sept_	GC	SPLIT	0	9	46	0	0	18	9	-9	36	55
Sept_	GC	AS	20	20	67	7	13	33	33	7	40	-7
Sept_	BC	AS	0	0	50	0	-10	40	-10	10	30	50
Sept_	BC	AS	0	11	56	11	33	33	0	-11	89	-22
Sept_	CB	JM	6	19	12	0	6	7	50	13	44	0
Sept_	CB	WK	0	12	24	-6	-6	18	-18	12	53	18
Sept_	CB	MG	0	13	47	0	-20	0	-13	0	47	13
Sept_	CB	AS	0	7	-44	-6	0	25	19	-7	37	50
Sept_	CB	ET	0	0	36	7	-14	-7	-8	7	50	29
Sept_	BCa	MG	0	0	79	0	16	21	21	-6	42	27
Oct_	NS	MG	0	16	56	11	-16	22	6	17	50	0
Oct_	NS	MG	12	0	82	0	-6	35	-11	24	53	6
Oct_	NS	AS	0	11	35	0	-5	42	-5	11	31	10
Oct_	NS	AS	5	10	35	0	-5	15	5	-15	60	10
Oct_	NS	ET	0	0	30	18	0	35	-6	-6	41	18
Oct_	NS	AS	0	-7	50	0	0	19	-12	25	19	31
Oct_	H	AS	0	-6	23	6	12	24	35	18	47	6
Oct_	H	JM	14	22	15	7	-15	22	0	0	43	29
Oct_	H	WK	0	6	6	-6	6	24	6	12	47	41
Oct_	H	JM	0	-27	37	0	0	0	-28	9	46	27
Oct_	H	AS	-7	0	20	0	13	13	-7	0	60	-7
Oct_	W	ET	5	0	57	0	-14	14	5	14	71	29
Oct_	W	AS	6	-12	41	-6	-6	0	6	0	59	6
Oct_	AL	JM	7	36	43	14	8	0	22	14	93	36
Oct_	AL	AS	0	16	37	-5	-42	15	5	5	57	6
Oct_	AL	WK	0	-6	26	5	0	15	10	21	58	21
Oct_	AL	WK	0	-5	22	0	6	28	11	17	39	11
Oct_	AL	WK	0	0	38	8	8	8	23	0	46	77
Oct_	AL	ET	0	0	37	11	-5	5	16	-6	52	-16
Nov_	CC	JM	0	14	50	0	7	21	0	7	64	50
Nov_	CC	ET	0	7	67	0	-14	33	-7	27	33	0
Nov_	BCa	SPLIT	0	0	0	8	-15	31	23	23	46	24
Nov_	BCa	MG	11	17	61	6	-28	11	22	-11	66	-6
Nov_	BCa	JM	0	27	7	7	-20	60	0	0	80	13
Nov_	C	SPLIT	8	30	39	0	0	54	-8	-7	31	31
Nov_	K	MG	-12	-6	35	6	5	17	-6	0	0	18
Nov_	K	ET	-8	8	31	8	-8	15	23	0	54	-16
Nov_	B	JM	22	22	55	6	0	28	12	5	17	22
Nov_	B	MG	0	0	42	4	4	5	5	24	48	15
Nov_	B	ET	-11	6	28	-11	-11	27	11	28	39	17
Nov_	B	MG	0	-14	86	0	-9	14	-18	13	55	46
Dec_	Fa	JM	6	11	33	6	-16	33	-6	6	22	11
Dec_	Fa	MG	0	8	54	-8	30	15	-15	0	23	31
Dec_	Fa	JM	0	6	37	-6	-6	0	44	0	31	25
Dec_	Fa	MG	0	22	39	0	-6	17	-17	6	72	34
Dec_	Fa	AS	-6	7	0	-6	-6	31	19	13	-6	-32
Dec_	Fa	ET	23	15	54	7	-15	46	23	23	54	16
Dec_	Fa	ET	0	6	31	-6	-13	19	25	0	63	-12
Dec_	Fa	AS	-6	12	18	12	-23	29	-29	6	58	24
Dec_	Fa	AS	-8	16	9	-8	-8	25	17	-8	58	-17
Dec_	Fa	ET	0	7	36	7	0	0	43	14	15	-7
Dec_	Fa	JM	0	8	39	7	-8	38	15	0	61	31
Dec_	Fa	MG	8	0	54	15	0	30	23	0	54	24
Dec_	Fa	ET	-12	-13	38	0	-31	13	25	12	38	25
Dec_	Fa	SPLIT	0	7	40	0	-26	6	26	-6	20	0
Dec_	Fa	JM	7	13	20	0	0	20	27	7	40	-7
Dec_	GC	AS	0	8	-8	0	17	17	17	-34	58	8
Jan_	SK	AS	8	9	58	-8	50	34	33	17	75	17
Jan_	SK	AS	0	0	30	-10	-10	50	30	-10	40	10
Jan_	HV	AS	-6	-5	45	0	0	22	39	0	56	45
Jan_	HV	JM	13	0	46	0	20	33	-14	-13	74	20
Jan_	HV	SPLIT	11	0	63	0	-5	37	16	5	42	-5
Jan_	HV	MG	0	6	53	6	0	0	-6	6	88	30
Jan_	HV	ET	-7	20	46	0	-27	6	-20	13	67	7
Jan_	HV	JM	20	13	60	0	-20	13	0	0	47	40
Jan_	HV	AS	-6	-12	59	0	-11	17	0	12	12	53
Jan_	HV	ET	0	-7	46	0	0	47	27	27	80	7
Jan_	HV	AS	0	12	65	0	-6	29	29	-6	41	6
Jan_	BG	MG	0	0	85	0	-16	46	0	7	46	38
Jan_	BG	MG	0	0	86	7	6	20	40	20	73	20
Jan_	BG	MG	0	0	58	6	0	6	11	-12	23	18
Jan_	BG	AS	0	5	18	6	0	41	35	12	53	-18
Jan_	C	AS	0	6	63	6	6	25	6	31	69	0
Jan_	C	ET	8	-7	47	-7	-7	30	-16	7	31	8
Jan_	SJN	JM	0	27	66	0	-7	27	14	7	73	47
Feb_	DW	SPLIT	8	8	33	0	9	59	58	17	67	41
Feb_	DW	AS	8	8	15	0	-7	7	0	38	30	46
Feb_	DW	AS	19	-6	32	6	-25	31	31	7	19	7
Feb_	DW	AS	20	7	40	27	-20	40	-27	-7	47	0
Feb_	G	MG	6	18	23	0	-6	29	0	-17	30	18
Feb_	AB	JM	14	14	43	7	-15	43	0	7	72	-50
Feb_	AB	WK	10	-15	60	-5	20	20	-15	20	5	-20
Feb_	AB	MG	-6	5	44	11	-16	17	-17	5	39	34
Feb_	KA	JM	0	0	100	0	0	50	-50	0	100	0
Feb_	R	ET	8	16	7	23	8	23	0	23	38	0
Feb_	R	ET	0	0	8	8	7	46	38	15	38	7
Feb_	R	SPLIT	-9	33	0	0	-33	42	-33	25	58	17
Feb_	R	WK	0	22	29	0	0	7	-7	7	57	7
Feb_	R	MG	-8	8	25	0	0	17	92	0	42	100
Feb_	FV	AS	15	38	31	23	31	31	31	46	31	24
Feb_	MH	AS	5	14	43	4	5	43	19	5	57	9
March	CR	MG	0	0	54	8	-23	15	-7	23	54	62
March	CR	MG	9	9	36	0	0	36	9	27	28	18
March	CR	AS	0	-7	26	0	-20	33	13	0	46	0
March	GM	AS	0	-9	64	9	-27	64	18	27	18	64
March	GM	ET	0	0	36	9	0	55	9	27	28	0
March	GM	ET	0	11	22	11	11	67	11	22	56	23
March	BK	JM	0	11	73	0	-10	26	21	21	73	58
March	BK	WK	-11	0	39	6	5	11	0	-6	66	22
March	BK	MG	0	6	32	11	0	21	47	5	52	21
March	Sh	AS	-13	6	27	-7	-13	20	13	0	27	13
March	Sh	AS	0	38	46	-7	-8	46	8	8	70	-8
March	Sh	AS	0	21	28	7	-7	29	-7	7	71	-14
March	Cy	ET	0	18	23	6	-29	12	0	-6	41	30
March	Cy	ET	0	25	7	0	-6	25	-6	31	56	63
March	MtO	AS	0	33	-9	8	-9	25	16	17	50	25
March	MtO	AS	0	0	45	9	-9	45	27	9	-9	55
March	StJ	ET	0	18	14	9	0	18	23	27	18	14
April	SV	WK	14	22	50	0	-7	64	36	7	86	35
April	SV	JM	-8	23	69	0	-15	15	24	0	47	46
April	SV	MG	12	6	35	0	-17	18	5	18	76	0
April	SV	WK	0	21	10	0	15	37	31	5	52	21
April	Be	AS	0	-7	56	0	0	19	25	-7	32	-12
April	Be	AS	0	-6	43	6	-13	44	0	12	62	-25
April	Be	AS	0	-10	70	0	-10	40	10	10	30	-20
April	Be	AS	0	7	57	0	-7	7	22	0	50	7
April	Gi	AS	0	5	10	-5	0	5	-15	15	50	0
April	Gi	WK	0	5	28	-6	6	61	5	17	33	17
April	PR	WK	0	0	71	0	0	14	0	7	50	7
April	PR	SPLIT	0	19	37	0	18	27	-18	18	64	27
April	PR	MG	0	17	50	0	9	8	-50	8	58	33
April	SH	AS	-7	0	54	-7	-14	26	-7	7	54	7
April	SH	AS	-11	11	33	-11	11	67	11	11	11	22
April	SH	AS	0	8	-25	0	-17	34	34	8	59	-33
April	SH	AS	6	6	0	0	27	0	27	-20	33	-6
April	Ch	JM	0	50	13	0	0	12	12	0	0	-12
April	Ch	JM	0	25	41	8	-9	50	50	17	66	42
April	St	AS	-6	13	32	0	-19	31	6	7	37	0
April	St	AS	6	23	18	6	0	47	12	5	41	-17
April	St	AS	0	13	0	7	13	0	7	27	53	33
April	St	AS	0	6	50	0	-6	37	44	12	38	-12
April	Ch	AS	0	15	46	15	-23	38	8	0	77	23
April	Ch	AS	0	29	14	0	14	29	43	0	15	29
April	Ch	AS	8	0	0	0	-15	23	47	-15	31	-8
May	WH	JM	0	13	66	0	20	26	0	20	53	20
May	WH	JM	5	20	60	10	-15	35	10	25	40	0
May	Lo	ET	0	25	60	27	27	66	-13	20	40	-20
May	Lo	MG	-6	25	37	0	0	44	-7	-13	31	0
May	Lo	MG	-8	31	31	0	-7	31	0	16	8	-8
May	WH	WK	0	25	32	0	-12	19	0	6	50	56
May	WH	JM	0	18	11	-6	-6	18	6	-6	42	29
May	WH	MG	-6	6	56	5	0	22	-11	11	16	-11
May	WH	AS	5	11	27	16	26	16	63	5	21	26
May	RE	JM	0	4	83	0	0	21	12	8	63	46
May	RE	AS	0	0	38	12	0	37	25	-12	37	-12
May	Ep	AS	0	0	18	6	-6	12	0	18	59	29
May	Jp	JM	0	31	43	0	-13	50	0	-7	62	18
May	Jp	JM	10	40	80	0	-20	30	10	30	20	40
May	Jp	MG	0	-22	65	0	0	0	-22	0	43	57
May	Jp	MG	0	19	44	6	-13	37	6	19	19	43
May	NV	AS	7	14	71	0	14	50	14	29	57	57
May	NV	AS	0	22	21	0	14	50	43	-29	29	14
May	NV	AS	0	-6	47	0	-14	27	33	6	40	33
May	NV	ET	-12	6	12	-12	-6	38	25	0	19	13
May	NV	SPLIT	-8	0	61	15	0	0	0	-7	39	0
May	NV	AS	0	34	33	0	0	42	58	42	17	-25
May	NV	AS	0	25	18	0	0	37	19	7	63	38
May	Nw	JM	0	-11	0	11	34	22	-34	22	34	12

Long-Format Data (with Domains)

Long-format data with domain labels
Month	School	Instructor	Domain	Question	Improvement %
August	JS	AS	Car	Q1	0
August	JS	AS	Car	Q2	0
August	JS	AS	Car	Q3	59
August	JS	AS	Car	Q4	12
August	JS	AS	Car	Q5	-6
August	JS	AS	Bike	Q6	59
August	JS	AS	Bike	Q7	0
August	JS	AS	Bike	Q8	12
August	JS	AS	Ped	Q9	35
August	JS	AS	Ped	Q10	18
August	JS	AS	Car	Q1	0
August	JS	AS	Car	Q2	5
August	JS	AS	Car	Q3	34
August	JS	AS	Car	Q4	16
August	JS	AS	Car	Q5	6
August	JS	AS	Bike	Q6	44
August	JS	AS	Bike	Q7	11
August	JS	AS	Bike	Q8	-6
August	JS	AS	Ped	Q9	39
August	JS	AS	Ped	Q10	11
August	SH	JM	Car	Q1	0
August	SH	JM	Car	Q2	7
August	SH	JM	Car	Q3	79
August	SH	JM	Car	Q4	7
August	SH	JM	Car	Q5	-36
August	SH	JM	Bike	Q6	29
August	SH	JM	Bike	Q7	43
August	SH	JM	Bike	Q8	0
August	SH	JM	Ped	Q9	43
August	SH	JM	Ped	Q10	0
August	SH	AS	Car	Q1	20
August	SH	AS	Car	Q2	50
August	SH	AS	Car	Q3	30
August	SH	AS	Car	Q4	0
August	SH	AS	Car	Q5	0
August	SH	AS	Bike	Q6	40
August	SH	AS	Bike	Q7	10
August	SH	AS	Bike	Q8	30
August	SH	AS	Ped	Q9	10
August	SH	AS	Ped	Q10	-10
August	SH	WK	Car	Q1	25
August	SH	WK	Car	Q2	12
August	SH	WK	Car	Q3	0
August	SH	WK	Car	Q4	32
August	SH	WK	Car	Q5	6
August	SH	WK	Bike	Q6	56
August	SH	WK	Bike	Q7	0
August	SH	WK	Bike	Q8	0
August	SH	WK	Ped	Q9	37
August	SH	WK	Ped	Q10	-25
August	SH	MG	Car	Q1	-24
August	SH	MG	Car	Q2	-17
August	SH	MG	Car	Q3	47
August	SH	MG	Car	Q4	6
August	SH	MG	Car	Q5	-5
August	SH	MG	Bike	Q6	6
August	SH	MG	Bike	Q7	-24
August	SH	MG	Bike	Q8	11
August	SH	MG	Ped	Q9	35
August	SH	MG	Ped	Q10	18
August	SH	JM	Car	Q1	6
August	SH	JM	Car	Q2	0
August	SH	JM	Car	Q3	-6
August	SH	JM	Car	Q4	0
August	SH	JM	Car	Q5	0
August	SH	JM	Bike	Q6	24
August	SH	JM	Bike	Q7	0
August	SH	JM	Bike	Q8	12
August	SH	JM	Ped	Q9	71
August	SH	JM	Ped	Q10	30
August	MS	SPLIT	Car	Q1	6
August	MS	SPLIT	Car	Q2	-7
August	MS	SPLIT	Car	Q3	46
August	MS	SPLIT	Car	Q4	7
August	MS	SPLIT	Car	Q5	0
August	MS	SPLIT	Bike	Q6	20
August	MS	SPLIT	Bike	Q7	-20
August	MS	SPLIT	Bike	Q8	27
August	MS	SPLIT	Ped	Q9	60
August	MS	SPLIT	Ped	Q10	-7
August	Ft	WK	Car	Q1	6
August	Ft	WK	Car	Q2	16
August	Ft	WK	Car	Q3	11
August	Ft	WK	Car	Q4	5
August	Ft	WK	Car	Q5	-6
August	Ft	WK	Bike	Q6	11
August	Ft	WK	Bike	Q7	-28
August	Ft	WK	Bike	Q8	5
August	Ft	WK	Ped	Q9	39
August	Ft	WK	Ped	Q10	22
August	Ft	SPLIT	Car	Q1	5
August	Ft	SPLIT	Car	Q2	6
August	Ft	SPLIT	Car	Q3	48
August	Ft	SPLIT	Car	Q4	16
August	Ft	SPLIT	Car	Q5	16
August	Ft	SPLIT	Bike	Q6	27
August	Ft	SPLIT	Bike	Q7	32
August	Ft	SPLIT	Bike	Q8	21
August	Ft	SPLIT	Ped	Q9	58
August	Ft	SPLIT	Ped	Q10	16
August	Ft	JM	Car	Q1	6
August	Ft	JM	Car	Q2	12
August	Ft	JM	Car	Q3	6
August	Ft	JM	Car	Q4	18
August	Ft	JM	Car	Q5	-29
August	Ft	JM	Bike	Q6	29
August	Ft	JM	Bike	Q7	12
August	Ft	JM	Bike	Q8	-6
August	Ft	JM	Ped	Q9	53
August	Ft	JM	Ped	Q10	-12
August	Ft	AS	Car	Q1	5
August	Ft	AS	Car	Q2	20
August	Ft	AS	Car	Q3	45
August	Ft	AS	Car	Q4	5
August	Ft	AS	Car	Q5	-10
August	Ft	AS	Bike	Q6	10
August	Ft	AS	Bike	Q7	-10
August	Ft	AS	Bike	Q8	-10
August	Ft	AS	Ped	Q9	60
August	Ft	AS	Ped	Q10	15
August	Ft	AS	Car	Q1	6
August	Ft	AS	Car	Q2	18
August	Ft	AS	Car	Q3	41
August	Ft	AS	Car	Q4	6
August	Ft	AS	Car	Q5	-6
August	Ft	AS	Bike	Q6	41
August	Ft	AS	Bike	Q7	-5
August	Ft	AS	Bike	Q8	6
August	Ft	AS	Ped	Q9	53
August	Ft	AS	Ped	Q10	0
August	Ft	ET	Car	Q1	-12
August	Ft	ET	Car	Q2	0
August	Ft	ET	Car	Q3	38
August	Ft	ET	Car	Q4	-12
August	Ft	ET	Car	Q5	-25
August	Ft	ET	Bike	Q6	38
August	Ft	ET	Bike	Q7	0
August	Ft	ET	Bike	Q8	0
August	Ft	ET	Ped	Q9	-12
August	Ft	ET	Ped	Q10	0
August	FV	AS	Car	Q1	0
August	FV	AS	Car	Q2	13
August	FV	AS	Car	Q3	7
August	FV	AS	Car	Q4	7
August	FV	AS	Car	Q5	-6
August	FV	AS	Bike	Q6	40
August	FV	AS	Bike	Q7	46
August	FV	AS	Bike	Q8	-14
August	FV	AS	Ped	Q9	47
August	FV	AS	Ped	Q10	0
August	FV	JM	Car	Q1	13
August	FV	JM	Car	Q2	19
August	FV	JM	Car	Q3	18
August	FV	JM	Car	Q4	19
August	FV	JM	Car	Q5	-12
August	FV	JM	Bike	Q6	44
August	FV	JM	Bike	Q7	-13
August	FV	JM	Bike	Q8	31
August	FV	JM	Ped	Q9	50
August	FV	JM	Ped	Q10	12
Sept_	NH	JM	Car	Q1	15
Sept_	NH	JM	Car	Q2	16
Sept_	NH	JM	Car	Q3	15
Sept_	NH	JM	Car	Q4	15
Sept_	NH	JM	Car	Q5	7
Sept_	NH	JM	Bike	Q6	8
Sept_	NH	JM	Bike	Q7	-15
Sept_	NH	JM	Bike	Q8	0
Sept_	NH	JM	Ped	Q9	54
Sept_	NH	JM	Ped	Q10	15
Sept_	NH	AS	Car	Q1	0
Sept_	NH	AS	Car	Q2	50
Sept_	NH	AS	Car	Q3	14
Sept_	NH	AS	Car	Q4	7
Sept_	NH	AS	Car	Q5	-14
Sept_	NH	AS	Bike	Q6	7
Sept_	NH	AS	Bike	Q7	43
Sept_	NH	AS	Bike	Q8	-15
Sept_	NH	AS	Ped	Q9	42
Sept_	NH	AS	Ped	Q10	-50
Sept_	S	ET	Car	Q1	6
Sept_	S	ET	Car	Q2	11
Sept_	S	ET	Car	Q3	39
Sept_	S	ET	Car	Q4	11
Sept_	S	ET	Car	Q5	-11
Sept_	S	ET	Bike	Q6	39
Sept_	S	ET	Bike	Q7	-5
Sept_	S	ET	Bike	Q8	0
Sept_	S	ET	Ped	Q9	56
Sept_	S	ET	Ped	Q10	34
Sept_	S	AS	Car	Q1	0
Sept_	S	AS	Car	Q2	17
Sept_	S	AS	Car	Q3	27
Sept_	S	AS	Car	Q4	0
Sept_	S	AS	Car	Q5	-11
Sept_	S	AS	Bike	Q6	22
Sept_	S	AS	Bike	Q7	-17
Sept_	S	AS	Bike	Q8	0
Sept_	S	AS	Ped	Q9	50
Sept_	S	AS	Ped	Q10	22
Sept_	GC	SPLIT	Car	Q1	0
Sept_	GC	SPLIT	Car	Q2	9
Sept_	GC	SPLIT	Car	Q3	46
Sept_	GC	SPLIT	Car	Q4	0
Sept_	GC	SPLIT	Car	Q5	0
Sept_	GC	SPLIT	Bike	Q6	18
Sept_	GC	SPLIT	Bike	Q7	9
Sept_	GC	SPLIT	Bike	Q8	-9
Sept_	GC	SPLIT	Ped	Q9	36
Sept_	GC	SPLIT	Ped	Q10	55
Sept_	GC	AS	Car	Q1	20
Sept_	GC	AS	Car	Q2	20
Sept_	GC	AS	Car	Q3	67
Sept_	GC	AS	Car	Q4	7
Sept_	GC	AS	Car	Q5	13
Sept_	GC	AS	Bike	Q6	33
Sept_	GC	AS	Bike	Q7	33
Sept_	GC	AS	Bike	Q8	7
Sept_	GC	AS	Ped	Q9	40
Sept_	GC	AS	Ped	Q10	-7
Sept_	BC	AS	Car	Q1	0
Sept_	BC	AS	Car	Q2	0
Sept_	BC	AS	Car	Q3	50
Sept_	BC	AS	Car	Q4	0
Sept_	BC	AS	Car	Q5	-10
Sept_	BC	AS	Bike	Q6	40
Sept_	BC	AS	Bike	Q7	-10
Sept_	BC	AS	Bike	Q8	10
Sept_	BC	AS	Ped	Q9	30
Sept_	BC	AS	Ped	Q10	50
Sept_	BC	AS	Car	Q1	0
Sept_	BC	AS	Car	Q2	11
Sept_	BC	AS	Car	Q3	56
Sept_	BC	AS	Car	Q4	11
Sept_	BC	AS	Car	Q5	33
Sept_	BC	AS	Bike	Q6	33
Sept_	BC	AS	Bike	Q7	0
Sept_	BC	AS	Bike	Q8	-11
Sept_	BC	AS	Ped	Q9	89
Sept_	BC	AS	Ped	Q10	-22
Sept_	CB	JM	Car	Q1	6
Sept_	CB	JM	Car	Q2	19
Sept_	CB	JM	Car	Q3	12
Sept_	CB	JM	Car	Q4	0
Sept_	CB	JM	Car	Q5	6
Sept_	CB	JM	Bike	Q6	7
Sept_	CB	JM	Bike	Q7	50
Sept_	CB	JM	Bike	Q8	13
Sept_	CB	JM	Ped	Q9	44
Sept_	CB	JM	Ped	Q10	0
Sept_	CB	WK	Car	Q1	0
Sept_	CB	WK	Car	Q2	12
Sept_	CB	WK	Car	Q3	24
Sept_	CB	WK	Car	Q4	-6
Sept_	CB	WK	Car	Q5	-6
Sept_	CB	WK	Bike	Q6	18
Sept_	CB	WK	Bike	Q7	-18
Sept_	CB	WK	Bike	Q8	12
Sept_	CB	WK	Ped	Q9	53
Sept_	CB	WK	Ped	Q10	18
Sept_	CB	MG	Car	Q1	0
Sept_	CB	MG	Car	Q2	13
Sept_	CB	MG	Car	Q3	47
Sept_	CB	MG	Car	Q4	0
Sept_	CB	MG	Car	Q5	-20
Sept_	CB	MG	Bike	Q6	0
Sept_	CB	MG	Bike	Q7	-13
Sept_	CB	MG	Bike	Q8	0
Sept_	CB	MG	Ped	Q9	47
Sept_	CB	MG	Ped	Q10	13
Sept_	CB	AS	Car	Q1	0
Sept_	CB	AS	Car	Q2	7
Sept_	CB	AS	Car	Q3	-44
Sept_	CB	AS	Car	Q4	-6
Sept_	CB	AS	Car	Q5	0
Sept_	CB	AS	Bike	Q6	25
Sept_	CB	AS	Bike	Q7	19
Sept_	CB	AS	Bike	Q8	-7
Sept_	CB	AS	Ped	Q9	37
Sept_	CB	AS	Ped	Q10	50
Sept_	CB	ET	Car	Q1	0
Sept_	CB	ET	Car	Q2	0
Sept_	CB	ET	Car	Q3	36
Sept_	CB	ET	Car	Q4	7
Sept_	CB	ET	Car	Q5	-14
Sept_	CB	ET	Bike	Q6	-7
Sept_	CB	ET	Bike	Q7	-8
Sept_	CB	ET	Bike	Q8	7
Sept_	CB	ET	Ped	Q9	50
Sept_	CB	ET	Ped	Q10	29
Sept_	BCa	MG	Car	Q1	0
Sept_	BCa	MG	Car	Q2	0
Sept_	BCa	MG	Car	Q3	79
Sept_	BCa	MG	Car	Q4	0
Sept_	BCa	MG	Car	Q5	16
Sept_	BCa	MG	Bike	Q6	21
Sept_	BCa	MG	Bike	Q7	21
Sept_	BCa	MG	Bike	Q8	-6
Sept_	BCa	MG	Ped	Q9	42
Sept_	BCa	MG	Ped	Q10	27
Oct_	NS	MG	Car	Q1	0
Oct_	NS	MG	Car	Q2	16
Oct_	NS	MG	Car	Q3	56
Oct_	NS	MG	Car	Q4	11
Oct_	NS	MG	Car	Q5	-16
Oct_	NS	MG	Bike	Q6	22
Oct_	NS	MG	Bike	Q7	6
Oct_	NS	MG	Bike	Q8	17
Oct_	NS	MG	Ped	Q9	50
Oct_	NS	MG	Ped	Q10	0
Oct_	NS	MG	Car	Q1	12
Oct_	NS	MG	Car	Q2	0
Oct_	NS	MG	Car	Q3	82
Oct_	NS	MG	Car	Q4	0
Oct_	NS	MG	Car	Q5	-6
Oct_	NS	MG	Bike	Q6	35
Oct_	NS	MG	Bike	Q7	-11
Oct_	NS	MG	Bike	Q8	24
Oct_	NS	MG	Ped	Q9	53
Oct_	NS	MG	Ped	Q10	6
Oct_	NS	AS	Car	Q1	0
Oct_	NS	AS	Car	Q2	11
Oct_	NS	AS	Car	Q3	35
Oct_	NS	AS	Car	Q4	0
Oct_	NS	AS	Car	Q5	-5
Oct_	NS	AS	Bike	Q6	42
Oct_	NS	AS	Bike	Q7	-5
Oct_	NS	AS	Bike	Q8	11
Oct_	NS	AS	Ped	Q9	31
Oct_	NS	AS	Ped	Q10	10
Oct_	NS	AS	Car	Q1	5
Oct_	NS	AS	Car	Q2	10
Oct_	NS	AS	Car	Q3	35
Oct_	NS	AS	Car	Q4	0
Oct_	NS	AS	Car	Q5	-5
Oct_	NS	AS	Bike	Q6	15
Oct_	NS	AS	Bike	Q7	5
Oct_	NS	AS	Bike	Q8	-15
Oct_	NS	AS	Ped	Q9	60
Oct_	NS	AS	Ped	Q10	10
Oct_	NS	ET	Car	Q1	0
Oct_	NS	ET	Car	Q2	0
Oct_	NS	ET	Car	Q3	30
Oct_	NS	ET	Car	Q4	18
Oct_	NS	ET	Car	Q5	0
Oct_	NS	ET	Bike	Q6	35
Oct_	NS	ET	Bike	Q7	-6
Oct_	NS	ET	Bike	Q8	-6
Oct_	NS	ET	Ped	Q9	41
Oct_	NS	ET	Ped	Q10	18
Oct_	NS	AS	Car	Q1	0
Oct_	NS	AS	Car	Q2	-7
Oct_	NS	AS	Car	Q3	50
Oct_	NS	AS	Car	Q4	0
Oct_	NS	AS	Car	Q5	0
Oct_	NS	AS	Bike	Q6	19
Oct_	NS	AS	Bike	Q7	-12
Oct_	NS	AS	Bike	Q8	25
Oct_	NS	AS	Ped	Q9	19
Oct_	NS	AS	Ped	Q10	31
Oct_	H	AS	Car	Q1	0
Oct_	H	AS	Car	Q2	-6
Oct_	H	AS	Car	Q3	23
Oct_	H	AS	Car	Q4	6
Oct_	H	AS	Car	Q5	12
Oct_	H	AS	Bike	Q6	24
Oct_	H	AS	Bike	Q7	35
Oct_	H	AS	Bike	Q8	18
Oct_	H	AS	Ped	Q9	47
Oct_	H	AS	Ped	Q10	6
Oct_	H	JM	Car	Q1	14
Oct_	H	JM	Car	Q2	22
Oct_	H	JM	Car	Q3	15
Oct_	H	JM	Car	Q4	7
Oct_	H	JM	Car	Q5	-15
Oct_	H	JM	Bike	Q6	22
Oct_	H	JM	Bike	Q7	0
Oct_	H	JM	Bike	Q8	0
Oct_	H	JM	Ped	Q9	43
Oct_	H	JM	Ped	Q10	29
Oct_	H	WK	Car	Q1	0
Oct_	H	WK	Car	Q2	6
Oct_	H	WK	Car	Q3	6
Oct_	H	WK	Car	Q4	-6
Oct_	H	WK	Car	Q5	6
Oct_	H	WK	Bike	Q6	24
Oct_	H	WK	Bike	Q7	6
Oct_	H	WK	Bike	Q8	12
Oct_	H	WK	Ped	Q9	47
Oct_	H	WK	Ped	Q10	41
Oct_	H	JM	Car	Q1	0
Oct_	H	JM	Car	Q2	-27
Oct_	H	JM	Car	Q3	37
Oct_	H	JM	Car	Q4	0
Oct_	H	JM	Car	Q5	0
Oct_	H	JM	Bike	Q6	0
Oct_	H	JM	Bike	Q7	-28
Oct_	H	JM	Bike	Q8	9
Oct_	H	JM	Ped	Q9	46
Oct_	H	JM	Ped	Q10	27
Oct_	H	AS	Car	Q1	-7
Oct_	H	AS	Car	Q2	0
Oct_	H	AS	Car	Q3	20
Oct_	H	AS	Car	Q4	0
Oct_	H	AS	Car	Q5	13
Oct_	H	AS	Bike	Q6	13
Oct_	H	AS	Bike	Q7	-7
Oct_	H	AS	Bike	Q8	0
Oct_	H	AS	Ped	Q9	60
Oct_	H	AS	Ped	Q10	-7
Oct_	W	ET	Car	Q1	5
Oct_	W	ET	Car	Q2	0
Oct_	W	ET	Car	Q3	57
Oct_	W	ET	Car	Q4	0
Oct_	W	ET	Car	Q5	-14
Oct_	W	ET	Bike	Q6	14
Oct_	W	ET	Bike	Q7	5
Oct_	W	ET	Bike	Q8	14
Oct_	W	ET	Ped	Q9	71
Oct_	W	ET	Ped	Q10	29
Oct_	W	AS	Car	Q1	6
Oct_	W	AS	Car	Q2	-12
Oct_	W	AS	Car	Q3	41
Oct_	W	AS	Car	Q4	-6
Oct_	W	AS	Car	Q5	-6
Oct_	W	AS	Bike	Q6	0
Oct_	W	AS	Bike	Q7	6
Oct_	W	AS	Bike	Q8	0
Oct_	W	AS	Ped	Q9	59
Oct_	W	AS	Ped	Q10	6
Oct_	AL	JM	Car	Q1	7
Oct_	AL	JM	Car	Q2	36
Oct_	AL	JM	Car	Q3	43
Oct_	AL	JM	Car	Q4	14
Oct_	AL	JM	Car	Q5	8
Oct_	AL	JM	Bike	Q6	0
Oct_	AL	JM	Bike	Q7	22
Oct_	AL	JM	Bike	Q8	14
Oct_	AL	JM	Ped	Q9	93
Oct_	AL	JM	Ped	Q10	36
Oct_	AL	AS	Car	Q1	0
Oct_	AL	AS	Car	Q2	16
Oct_	AL	AS	Car	Q3	37
Oct_	AL	AS	Car	Q4	-5
Oct_	AL	AS	Car	Q5	-42
Oct_	AL	AS	Bike	Q6	15
Oct_	AL	AS	Bike	Q7	5
Oct_	AL	AS	Bike	Q8	5
Oct_	AL	AS	Ped	Q9	57
Oct_	AL	AS	Ped	Q10	6
Oct_	AL	WK	Car	Q1	0
Oct_	AL	WK	Car	Q2	-6
Oct_	AL	WK	Car	Q3	26
Oct_	AL	WK	Car	Q4	5
Oct_	AL	WK	Car	Q5	0
Oct_	AL	WK	Bike	Q6	15
Oct_	AL	WK	Bike	Q7	10
Oct_	AL	WK	Bike	Q8	21
Oct_	AL	WK	Ped	Q9	58
Oct_	AL	WK	Ped	Q10	21
Oct_	AL	WK	Car	Q1	0
Oct_	AL	WK	Car	Q2	-5
Oct_	AL	WK	Car	Q3	22
Oct_	AL	WK	Car	Q4	0
Oct_	AL	WK	Car	Q5	6
Oct_	AL	WK	Bike	Q6	28
Oct_	AL	WK	Bike	Q7	11
Oct_	AL	WK	Bike	Q8	17
Oct_	AL	WK	Ped	Q9	39
Oct_	AL	WK	Ped	Q10	11
Oct_	AL	WK	Car	Q1	0
Oct_	AL	WK	Car	Q2	0
Oct_	AL	WK	Car	Q3	38
Oct_	AL	WK	Car	Q4	8
Oct_	AL	WK	Car	Q5	8
Oct_	AL	WK	Bike	Q6	8
Oct_	AL	WK	Bike	Q7	23
Oct_	AL	WK	Bike	Q8	0
Oct_	AL	WK	Ped	Q9	46
Oct_	AL	WK	Ped	Q10	77
Oct_	AL	ET	Car	Q1	0
Oct_	AL	ET	Car	Q2	0
Oct_	AL	ET	Car	Q3	37
Oct_	AL	ET	Car	Q4	11
Oct_	AL	ET	Car	Q5	-5
Oct_	AL	ET	Bike	Q6	5
Oct_	AL	ET	Bike	Q7	16
Oct_	AL	ET	Bike	Q8	-6
Oct_	AL	ET	Ped	Q9	52
Oct_	AL	ET	Ped	Q10	-16
Nov_	CC	JM	Car	Q1	0
Nov_	CC	JM	Car	Q2	14
Nov_	CC	JM	Car	Q3	50
Nov_	CC	JM	Car	Q4	0
Nov_	CC	JM	Car	Q5	7
Nov_	CC	JM	Bike	Q6	21
Nov_	CC	JM	Bike	Q7	0
Nov_	CC	JM	Bike	Q8	7
Nov_	CC	JM	Ped	Q9	64
Nov_	CC	JM	Ped	Q10	50
Nov_	CC	ET	Car	Q1	0
Nov_	CC	ET	Car	Q2	7
Nov_	CC	ET	Car	Q3	67
Nov_	CC	ET	Car	Q4	0
Nov_	CC	ET	Car	Q5	-14
Nov_	CC	ET	Bike	Q6	33
Nov_	CC	ET	Bike	Q7	-7
Nov_	CC	ET	Bike	Q8	27
Nov_	CC	ET	Ped	Q9	33
Nov_	CC	ET	Ped	Q10	0
Nov_	BCa	SPLIT	Car	Q1	0
Nov_	BCa	SPLIT	Car	Q2	0
Nov_	BCa	SPLIT	Car	Q3	0
Nov_	BCa	SPLIT	Car	Q4	8
Nov_	BCa	SPLIT	Car	Q5	-15
Nov_	BCa	SPLIT	Bike	Q6	31
Nov_	BCa	SPLIT	Bike	Q7	23
Nov_	BCa	SPLIT	Bike	Q8	23
Nov_	BCa	SPLIT	Ped	Q9	46
Nov_	BCa	SPLIT	Ped	Q10	24
Nov_	BCa	MG	Car	Q1	11
Nov_	BCa	MG	Car	Q2	17
Nov_	BCa	MG	Car	Q3	61
Nov_	BCa	MG	Car	Q4	6
Nov_	BCa	MG	Car	Q5	-28
Nov_	BCa	MG	Bike	Q6	11
Nov_	BCa	MG	Bike	Q7	22
Nov_	BCa	MG	Bike	Q8	-11
Nov_	BCa	MG	Ped	Q9	66
Nov_	BCa	MG	Ped	Q10	-6
Nov_	BCa	JM	Car	Q1	0
Nov_	BCa	JM	Car	Q2	27
Nov_	BCa	JM	Car	Q3	7
Nov_	BCa	JM	Car	Q4	7
Nov_	BCa	JM	Car	Q5	-20
Nov_	BCa	JM	Bike	Q6	60
Nov_	BCa	JM	Bike	Q7	0
Nov_	BCa	JM	Bike	Q8	0
Nov_	BCa	JM	Ped	Q9	80
Nov_	BCa	JM	Ped	Q10	13
Nov_	C	SPLIT	Car	Q1	8
Nov_	C	SPLIT	Car	Q2	30
Nov_	C	SPLIT	Car	Q3	39
Nov_	C	SPLIT	Car	Q4	0
Nov_	C	SPLIT	Car	Q5	0
Nov_	C	SPLIT	Bike	Q6	54
Nov_	C	SPLIT	Bike	Q7	-8
Nov_	C	SPLIT	Bike	Q8	-7
Nov_	C	SPLIT	Ped	Q9	31
Nov_	C	SPLIT	Ped	Q10	31
Nov_	K	MG	Car	Q1	-12
Nov_	K	MG	Car	Q2	-6
Nov_	K	MG	Car	Q3	35
Nov_	K	MG	Car	Q4	6
Nov_	K	MG	Car	Q5	5
Nov_	K	MG	Bike	Q6	17
Nov_	K	MG	Bike	Q7	-6
Nov_	K	MG	Bike	Q8	0
Nov_	K	MG	Ped	Q9	0
Nov_	K	MG	Ped	Q10	18
Nov_	K	ET	Car	Q1	-8
Nov_	K	ET	Car	Q2	8
Nov_	K	ET	Car	Q3	31
Nov_	K	ET	Car	Q4	8
Nov_	K	ET	Car	Q5	-8
Nov_	K	ET	Bike	Q6	15
Nov_	K	ET	Bike	Q7	23
Nov_	K	ET	Bike	Q8	0
Nov_	K	ET	Ped	Q9	54
Nov_	K	ET	Ped	Q10	-16
Nov_	B	JM	Car	Q1	22
Nov_	B	JM	Car	Q2	22
Nov_	B	JM	Car	Q3	55
Nov_	B	JM	Car	Q4	6
Nov_	B	JM	Car	Q5	0
Nov_	B	JM	Bike	Q6	28
Nov_	B	JM	Bike	Q7	12
Nov_	B	JM	Bike	Q8	5
Nov_	B	JM	Ped	Q9	17
Nov_	B	JM	Ped	Q10	22
Nov_	B	MG	Car	Q1	0
Nov_	B	MG	Car	Q2	0
Nov_	B	MG	Car	Q3	42
Nov_	B	MG	Car	Q4	4
Nov_	B	MG	Car	Q5	4
Nov_	B	MG	Bike	Q6	5
Nov_	B	MG	Bike	Q7	5
Nov_	B	MG	Bike	Q8	24
Nov_	B	MG	Ped	Q9	48
Nov_	B	MG	Ped	Q10	15
Nov_	B	ET	Car	Q1	-11
Nov_	B	ET	Car	Q2	6
Nov_	B	ET	Car	Q3	28
Nov_	B	ET	Car	Q4	-11
Nov_	B	ET	Car	Q5	-11
Nov_	B	ET	Bike	Q6	27
Nov_	B	ET	Bike	Q7	11
Nov_	B	ET	Bike	Q8	28
Nov_	B	ET	Ped	Q9	39
Nov_	B	ET	Ped	Q10	17
Nov_	B	MG	Car	Q1	0
Nov_	B	MG	Car	Q2	-14
Nov_	B	MG	Car	Q3	86
Nov_	B	MG	Car	Q4	0
Nov_	B	MG	Car	Q5	-9
Nov_	B	MG	Bike	Q6	14
Nov_	B	MG	Bike	Q7	-18
Nov_	B	MG	Bike	Q8	13
Nov_	B	MG	Ped	Q9	55
Nov_	B	MG	Ped	Q10	46
Dec_	Fa	JM	Car	Q1	6
Dec_	Fa	JM	Car	Q2	11
Dec_	Fa	JM	Car	Q3	33
Dec_	Fa	JM	Car	Q4	6
Dec_	Fa	JM	Car	Q5	-16
Dec_	Fa	JM	Bike	Q6	33
Dec_	Fa	JM	Bike	Q7	-6
Dec_	Fa	JM	Bike	Q8	6
Dec_	Fa	JM	Ped	Q9	22
Dec_	Fa	JM	Ped	Q10	11
Dec_	Fa	MG	Car	Q1	0
Dec_	Fa	MG	Car	Q2	8
Dec_	Fa	MG	Car	Q3	54
Dec_	Fa	MG	Car	Q4	-8
Dec_	Fa	MG	Car	Q5	30
Dec_	Fa	MG	Bike	Q6	15
Dec_	Fa	MG	Bike	Q7	-15
Dec_	Fa	MG	Bike	Q8	0
Dec_	Fa	MG	Ped	Q9	23
Dec_	Fa	MG	Ped	Q10	31
Dec_	Fa	JM	Car	Q1	0
Dec_	Fa	JM	Car	Q2	6
Dec_	Fa	JM	Car	Q3	37
Dec_	Fa	JM	Car	Q4	-6
Dec_	Fa	JM	Car	Q5	-6
Dec_	Fa	JM	Bike	Q6	0
Dec_	Fa	JM	Bike	Q7	44
Dec_	Fa	JM	Bike	Q8	0
Dec_	Fa	JM	Ped	Q9	31
Dec_	Fa	JM	Ped	Q10	25
Dec_	Fa	MG	Car	Q1	0
Dec_	Fa	MG	Car	Q2	22
Dec_	Fa	MG	Car	Q3	39
Dec_	Fa	MG	Car	Q4	0
Dec_	Fa	MG	Car	Q5	-6
Dec_	Fa	MG	Bike	Q6	17
Dec_	Fa	MG	Bike	Q7	-17
Dec_	Fa	MG	Bike	Q8	6
Dec_	Fa	MG	Ped	Q9	72
Dec_	Fa	MG	Ped	Q10	34
Dec_	Fa	AS	Car	Q1	-6
Dec_	Fa	AS	Car	Q2	7
Dec_	Fa	AS	Car	Q3	0
Dec_	Fa	AS	Car	Q4	-6
Dec_	Fa	AS	Car	Q5	-6
Dec_	Fa	AS	Bike	Q6	31
Dec_	Fa	AS	Bike	Q7	19
Dec_	Fa	AS	Bike	Q8	13
Dec_	Fa	AS	Ped	Q9	-6
Dec_	Fa	AS	Ped	Q10	-32
Dec_	Fa	ET	Car	Q1	23
Dec_	Fa	ET	Car	Q2	15
Dec_	Fa	ET	Car	Q3	54
Dec_	Fa	ET	Car	Q4	7
Dec_	Fa	ET	Car	Q5	-15
Dec_	Fa	ET	Bike	Q6	46
Dec_	Fa	ET	Bike	Q7	23
Dec_	Fa	ET	Bike	Q8	23
Dec_	Fa	ET	Ped	Q9	54
Dec_	Fa	ET	Ped	Q10	16
Dec_	Fa	ET	Car	Q1	0
Dec_	Fa	ET	Car	Q2	6
Dec_	Fa	ET	Car	Q3	31
Dec_	Fa	ET	Car	Q4	-6
Dec_	Fa	ET	Car	Q5	-13
Dec_	Fa	ET	Bike	Q6	19
Dec_	Fa	ET	Bike	Q7	25
Dec_	Fa	ET	Bike	Q8	0
Dec_	Fa	ET	Ped	Q9	63
Dec_	Fa	ET	Ped	Q10	-12
Dec_	Fa	AS	Car	Q1	-6
Dec_	Fa	AS	Car	Q2	12
Dec_	Fa	AS	Car	Q3	18
Dec_	Fa	AS	Car	Q4	12
Dec_	Fa	AS	Car	Q5	-23
Dec_	Fa	AS	Bike	Q6	29
Dec_	Fa	AS	Bike	Q7	-29
Dec_	Fa	AS	Bike	Q8	6
Dec_	Fa	AS	Ped	Q9	58
Dec_	Fa	AS	Ped	Q10	24
Dec_	Fa	AS	Car	Q1	-8
Dec_	Fa	AS	Car	Q2	16
Dec_	Fa	AS	Car	Q3	9
Dec_	Fa	AS	Car	Q4	-8
Dec_	Fa	AS	Car	Q5	-8
Dec_	Fa	AS	Bike	Q6	25
Dec_	Fa	AS	Bike	Q7	17
Dec_	Fa	AS	Bike	Q8	-8
Dec_	Fa	AS	Ped	Q9	58
Dec_	Fa	AS	Ped	Q10	-17
Dec_	Fa	ET	Car	Q1	0
Dec_	Fa	ET	Car	Q2	7
Dec_	Fa	ET	Car	Q3	36
Dec_	Fa	ET	Car	Q4	7
Dec_	Fa	ET	Car	Q5	0
Dec_	Fa	ET	Bike	Q6	0
Dec_	Fa	ET	Bike	Q7	43
Dec_	Fa	ET	Bike	Q8	14
Dec_	Fa	ET	Ped	Q9	15
Dec_	Fa	ET	Ped	Q10	-7
Dec_	Fa	JM	Car	Q1	0
Dec_	Fa	JM	Car	Q2	8
Dec_	Fa	JM	Car	Q3	39
Dec_	Fa	JM	Car	Q4	7
Dec_	Fa	JM	Car	Q5	-8
Dec_	Fa	JM	Bike	Q6	38
Dec_	Fa	JM	Bike	Q7	15
Dec_	Fa	JM	Bike	Q8	0
Dec_	Fa	JM	Ped	Q9	61
Dec_	Fa	JM	Ped	Q10	31
Dec_	Fa	MG	Car	Q1	8
Dec_	Fa	MG	Car	Q2	0
Dec_	Fa	MG	Car	Q3	54
Dec_	Fa	MG	Car	Q4	15
Dec_	Fa	MG	Car	Q5	0
Dec_	Fa	MG	Bike	Q6	30
Dec_	Fa	MG	Bike	Q7	23
Dec_	Fa	MG	Bike	Q8	0
Dec_	Fa	MG	Ped	Q9	54
Dec_	Fa	MG	Ped	Q10	24
Dec_	Fa	ET	Car	Q1	-12
Dec_	Fa	ET	Car	Q2	-13
Dec_	Fa	ET	Car	Q3	38
Dec_	Fa	ET	Car	Q4	0
Dec_	Fa	ET	Car	Q5	-31
Dec_	Fa	ET	Bike	Q6	13
Dec_	Fa	ET	Bike	Q7	25
Dec_	Fa	ET	Bike	Q8	12
Dec_	Fa	ET	Ped	Q9	38
Dec_	Fa	ET	Ped	Q10	25
Dec_	Fa	SPLIT	Car	Q1	0
Dec_	Fa	SPLIT	Car	Q2	7
Dec_	Fa	SPLIT	Car	Q3	40
Dec_	Fa	SPLIT	Car	Q4	0
Dec_	Fa	SPLIT	Car	Q5	-26
Dec_	Fa	SPLIT	Bike	Q6	6
Dec_	Fa	SPLIT	Bike	Q7	26
Dec_	Fa	SPLIT	Bike	Q8	-6
Dec_	Fa	SPLIT	Ped	Q9	20
Dec_	Fa	SPLIT	Ped	Q10	0
Dec_	Fa	JM	Car	Q1	7
Dec_	Fa	JM	Car	Q2	13
Dec_	Fa	JM	Car	Q3	20
Dec_	Fa	JM	Car	Q4	0
Dec_	Fa	JM	Car	Q5	0
Dec_	Fa	JM	Bike	Q6	20
Dec_	Fa	JM	Bike	Q7	27
Dec_	Fa	JM	Bike	Q8	7
Dec_	Fa	JM	Ped	Q9	40
Dec_	Fa	JM	Ped	Q10	-7
Dec_	GC	AS	Car	Q1	0
Dec_	GC	AS	Car	Q2	8
Dec_	GC	AS	Car	Q3	-8
Dec_	GC	AS	Car	Q4	0
Dec_	GC	AS	Car	Q5	17
Dec_	GC	AS	Bike	Q6	17
Dec_	GC	AS	Bike	Q7	17
Dec_	GC	AS	Bike	Q8	-34
Dec_	GC	AS	Ped	Q9	58
Dec_	GC	AS	Ped	Q10	8
Jan_	SK	AS	Car	Q1	8
Jan_	SK	AS	Car	Q2	9
Jan_	SK	AS	Car	Q3	58
Jan_	SK	AS	Car	Q4	-8
Jan_	SK	AS	Car	Q5	50
Jan_	SK	AS	Bike	Q6	34
Jan_	SK	AS	Bike	Q7	33
Jan_	SK	AS	Bike	Q8	17
Jan_	SK	AS	Ped	Q9	75
Jan_	SK	AS	Ped	Q10	17
Jan_	SK	AS	Car	Q1	0
Jan_	SK	AS	Car	Q2	0
Jan_	SK	AS	Car	Q3	30
Jan_	SK	AS	Car	Q4	-10
Jan_	SK	AS	Car	Q5	-10
Jan_	SK	AS	Bike	Q6	50
Jan_	SK	AS	Bike	Q7	30
Jan_	SK	AS	Bike	Q8	-10
Jan_	SK	AS	Ped	Q9	40
Jan_	SK	AS	Ped	Q10	10
Jan_	HV	AS	Car	Q1	-6
Jan_	HV	AS	Car	Q2	-5
Jan_	HV	AS	Car	Q3	45
Jan_	HV	AS	Car	Q4	0
Jan_	HV	AS	Car	Q5	0
Jan_	HV	AS	Bike	Q6	22
Jan_	HV	AS	Bike	Q7	39
Jan_	HV	AS	Bike	Q8	0
Jan_	HV	AS	Ped	Q9	56
Jan_	HV	AS	Ped	Q10	45
Jan_	HV	JM	Car	Q1	13
Jan_	HV	JM	Car	Q2	0
Jan_	HV	JM	Car	Q3	46
Jan_	HV	JM	Car	Q4	0
Jan_	HV	JM	Car	Q5	20
Jan_	HV	JM	Bike	Q6	33
Jan_	HV	JM	Bike	Q7	-14
Jan_	HV	JM	Bike	Q8	-13
Jan_	HV	JM	Ped	Q9	74
Jan_	HV	JM	Ped	Q10	20
Jan_	HV	SPLIT	Car	Q1	11
Jan_	HV	SPLIT	Car	Q2	0
Jan_	HV	SPLIT	Car	Q3	63
Jan_	HV	SPLIT	Car	Q4	0
Jan_	HV	SPLIT	Car	Q5	-5
Jan_	HV	SPLIT	Bike	Q6	37
Jan_	HV	SPLIT	Bike	Q7	16
Jan_	HV	SPLIT	Bike	Q8	5
Jan_	HV	SPLIT	Ped	Q9	42
Jan_	HV	SPLIT	Ped	Q10	-5
Jan_	HV	MG	Car	Q1	0
Jan_	HV	MG	Car	Q2	6
Jan_	HV	MG	Car	Q3	53
Jan_	HV	MG	Car	Q4	6
Jan_	HV	MG	Car	Q5	0
Jan_	HV	MG	Bike	Q6	0
Jan_	HV	MG	Bike	Q7	-6
Jan_	HV	MG	Bike	Q8	6
Jan_	HV	MG	Ped	Q9	88
Jan_	HV	MG	Ped	Q10	30
Jan_	HV	ET	Car	Q1	-7
Jan_	HV	ET	Car	Q2	20
Jan_	HV	ET	Car	Q3	46
Jan_	HV	ET	Car	Q4	0
Jan_	HV	ET	Car	Q5	-27
Jan_	HV	ET	Bike	Q6	6
Jan_	HV	ET	Bike	Q7	-20
Jan_	HV	ET	Bike	Q8	13
Jan_	HV	ET	Ped	Q9	67
Jan_	HV	ET	Ped	Q10	7
Jan_	HV	JM	Car	Q1	20
Jan_	HV	JM	Car	Q2	13
Jan_	HV	JM	Car	Q3	60
Jan_	HV	JM	Car	Q4	0
Jan_	HV	JM	Car	Q5	-20
Jan_	HV	JM	Bike	Q6	13
Jan_	HV	JM	Bike	Q7	0
Jan_	HV	JM	Bike	Q8	0
Jan_	HV	JM	Ped	Q9	47
Jan_	HV	JM	Ped	Q10	40
Jan_	HV	AS	Car	Q1	-6
Jan_	HV	AS	Car	Q2	-12
Jan_	HV	AS	Car	Q3	59
Jan_	HV	AS	Car	Q4	0
Jan_	HV	AS	Car	Q5	-11
Jan_	HV	AS	Bike	Q6	17
Jan_	HV	AS	Bike	Q7	0
Jan_	HV	AS	Bike	Q8	12
Jan_	HV	AS	Ped	Q9	12
Jan_	HV	AS	Ped	Q10	53
Jan_	HV	ET	Car	Q1	0
Jan_	HV	ET	Car	Q2	-7
Jan_	HV	ET	Car	Q3	46
Jan_	HV	ET	Car	Q4	0
Jan_	HV	ET	Car	Q5	0
Jan_	HV	ET	Bike	Q6	47
Jan_	HV	ET	Bike	Q7	27
Jan_	HV	ET	Bike	Q8	27
Jan_	HV	ET	Ped	Q9	80
Jan_	HV	ET	Ped	Q10	7
Jan_	HV	AS	Car	Q1	0
Jan_	HV	AS	Car	Q2	12
Jan_	HV	AS	Car	Q3	65
Jan_	HV	AS	Car	Q4	0
Jan_	HV	AS	Car	Q5	-6
Jan_	HV	AS	Bike	Q6	29
Jan_	HV	AS	Bike	Q7	29
Jan_	HV	AS	Bike	Q8	-6
Jan_	HV	AS	Ped	Q9	41
Jan_	HV	AS	Ped	Q10	6
Jan_	BG	MG	Car	Q1	0
Jan_	BG	MG	Car	Q2	0
Jan_	BG	MG	Car	Q3	85
Jan_	BG	MG	Car	Q4	0
Jan_	BG	MG	Car	Q5	-16
Jan_	BG	MG	Bike	Q6	46
Jan_	BG	MG	Bike	Q7	0
Jan_	BG	MG	Bike	Q8	7
Jan_	BG	MG	Ped	Q9	46
Jan_	BG	MG	Ped	Q10	38
Jan_	BG	MG	Car	Q1	0
Jan_	BG	MG	Car	Q2	0
Jan_	BG	MG	Car	Q3	86
Jan_	BG	MG	Car	Q4	7
Jan_	BG	MG	Car	Q5	6
Jan_	BG	MG	Bike	Q6	20
Jan_	BG	MG	Bike	Q7	40
Jan_	BG	MG	Bike	Q8	20
Jan_	BG	MG	Ped	Q9	73
Jan_	BG	MG	Ped	Q10	20
Jan_	BG	MG	Car	Q1	0
Jan_	BG	MG	Car	Q2	0
Jan_	BG	MG	Car	Q3	58
Jan_	BG	MG	Car	Q4	6
Jan_	BG	MG	Car	Q5	0
Jan_	BG	MG	Bike	Q6	6
Jan_	BG	MG	Bike	Q7	11
Jan_	BG	MG	Bike	Q8	-12
Jan_	BG	MG	Ped	Q9	23
Jan_	BG	MG	Ped	Q10	18
Jan_	BG	AS	Car	Q1	0
Jan_	BG	AS	Car	Q2	5
Jan_	BG	AS	Car	Q3	18
Jan_	BG	AS	Car	Q4	6
Jan_	BG	AS	Car	Q5	0
Jan_	BG	AS	Bike	Q6	41
Jan_	BG	AS	Bike	Q7	35
Jan_	BG	AS	Bike	Q8	12
Jan_	BG	AS	Ped	Q9	53
Jan_	BG	AS	Ped	Q10	-18
Jan_	C	AS	Car	Q1	0
Jan_	C	AS	Car	Q2	6
Jan_	C	AS	Car	Q3	63
Jan_	C	AS	Car	Q4	6
Jan_	C	AS	Car	Q5	6
Jan_	C	AS	Bike	Q6	25
Jan_	C	AS	Bike	Q7	6
Jan_	C	AS	Bike	Q8	31
Jan_	C	AS	Ped	Q9	69
Jan_	C	AS	Ped	Q10	0
Jan_	C	ET	Car	Q1	8
Jan_	C	ET	Car	Q2	-7
Jan_	C	ET	Car	Q3	47
Jan_	C	ET	Car	Q4	-7
Jan_	C	ET	Car	Q5	-7
Jan_	C	ET	Bike	Q6	30
Jan_	C	ET	Bike	Q7	-16
Jan_	C	ET	Bike	Q8	7
Jan_	C	ET	Ped	Q9	31
Jan_	C	ET	Ped	Q10	8
Jan_	SJN	JM	Car	Q1	0
Jan_	SJN	JM	Car	Q2	27
Jan_	SJN	JM	Car	Q3	66
Jan_	SJN	JM	Car	Q4	0
Jan_	SJN	JM	Car	Q5	-7
Jan_	SJN	JM	Bike	Q6	27
Jan_	SJN	JM	Bike	Q7	14
Jan_	SJN	JM	Bike	Q8	7
Jan_	SJN	JM	Ped	Q9	73
Jan_	SJN	JM	Ped	Q10	47
Feb_	DW	SPLIT	Car	Q1	8
Feb_	DW	SPLIT	Car	Q2	8
Feb_	DW	SPLIT	Car	Q3	33
Feb_	DW	SPLIT	Car	Q4	0
Feb_	DW	SPLIT	Car	Q5	9
Feb_	DW	SPLIT	Bike	Q6	59
Feb_	DW	SPLIT	Bike	Q7	58
Feb_	DW	SPLIT	Bike	Q8	17
Feb_	DW	SPLIT	Ped	Q9	67
Feb_	DW	SPLIT	Ped	Q10	41
Feb_	DW	AS	Car	Q1	8
Feb_	DW	AS	Car	Q2	8
Feb_	DW	AS	Car	Q3	15
Feb_	DW	AS	Car	Q4	0
Feb_	DW	AS	Car	Q5	-7
Feb_	DW	AS	Bike	Q6	7
Feb_	DW	AS	Bike	Q7	0
Feb_	DW	AS	Bike	Q8	38
Feb_	DW	AS	Ped	Q9	30
Feb_	DW	AS	Ped	Q10	46
Feb_	DW	AS	Car	Q1	19
Feb_	DW	AS	Car	Q2	-6
Feb_	DW	AS	Car	Q3	32
Feb_	DW	AS	Car	Q4	6
Feb_	DW	AS	Car	Q5	-25
Feb_	DW	AS	Bike	Q6	31
Feb_	DW	AS	Bike	Q7	31
Feb_	DW	AS	Bike	Q8	7
Feb_	DW	AS	Ped	Q9	19
Feb_	DW	AS	Ped	Q10	7
Feb_	DW	AS	Car	Q1	20
Feb_	DW	AS	Car	Q2	7
Feb_	DW	AS	Car	Q3	40
Feb_	DW	AS	Car	Q4	27
Feb_	DW	AS	Car	Q5	-20
Feb_	DW	AS	Bike	Q6	40
Feb_	DW	AS	Bike	Q7	-27
Feb_	DW	AS	Bike	Q8	-7
Feb_	DW	AS	Ped	Q9	47
Feb_	DW	AS	Ped	Q10	0
Feb_	G	MG	Car	Q1	6
Feb_	G	MG	Car	Q2	18
Feb_	G	MG	Car	Q3	23
Feb_	G	MG	Car	Q4	0
Feb_	G	MG	Car	Q5	-6
Feb_	G	MG	Bike	Q6	29
Feb_	G	MG	Bike	Q7	0
Feb_	G	MG	Bike	Q8	-17
Feb_	G	MG	Ped	Q9	30
Feb_	G	MG	Ped	Q10	18
Feb_	AB	JM	Car	Q1	14
Feb_	AB	JM	Car	Q2	14
Feb_	AB	JM	Car	Q3	43
Feb_	AB	JM	Car	Q4	7
Feb_	AB	JM	Car	Q5	-15
Feb_	AB	JM	Bike	Q6	43
Feb_	AB	JM	Bike	Q7	0
Feb_	AB	JM	Bike	Q8	7
Feb_	AB	JM	Ped	Q9	72
Feb_	AB	JM	Ped	Q10	-50
Feb_	AB	WK	Car	Q1	10
Feb_	AB	WK	Car	Q2	-15
Feb_	AB	WK	Car	Q3	60
Feb_	AB	WK	Car	Q4	-5
Feb_	AB	WK	Car	Q5	20
Feb_	AB	WK	Bike	Q6	20
Feb_	AB	WK	Bike	Q7	-15
Feb_	AB	WK	Bike	Q8	20
Feb_	AB	WK	Ped	Q9	5
Feb_	AB	WK	Ped	Q10	-20
Feb_	AB	MG	Car	Q1	-6
Feb_	AB	MG	Car	Q2	5
Feb_	AB	MG	Car	Q3	44
Feb_	AB	MG	Car	Q4	11
Feb_	AB	MG	Car	Q5	-16
Feb_	AB	MG	Bike	Q6	17
Feb_	AB	MG	Bike	Q7	-17
Feb_	AB	MG	Bike	Q8	5
Feb_	AB	MG	Ped	Q9	39
Feb_	AB	MG	Ped	Q10	34
Feb_	KA	JM	Car	Q1	0
Feb_	KA	JM	Car	Q2	0
Feb_	KA	JM	Car	Q3	100
Feb_	KA	JM	Car	Q4	0
Feb_	KA	JM	Car	Q5	0
Feb_	KA	JM	Bike	Q6	50
Feb_	KA	JM	Bike	Q7	-50
Feb_	KA	JM	Bike	Q8	0
Feb_	KA	JM	Ped	Q9	100
Feb_	KA	JM	Ped	Q10	0
Feb_	R	ET	Car	Q1	8
Feb_	R	ET	Car	Q2	16
Feb_	R	ET	Car	Q3	7
Feb_	R	ET	Car	Q4	23
Feb_	R	ET	Car	Q5	8
Feb_	R	ET	Bike	Q6	23
Feb_	R	ET	Bike	Q7	0
Feb_	R	ET	Bike	Q8	23
Feb_	R	ET	Ped	Q9	38
Feb_	R	ET	Ped	Q10	0
Feb_	R	ET	Car	Q1	0
Feb_	R	ET	Car	Q2	0
Feb_	R	ET	Car	Q3	8
Feb_	R	ET	Car	Q4	8
Feb_	R	ET	Car	Q5	7
Feb_	R	ET	Bike	Q6	46
Feb_	R	ET	Bike	Q7	38
Feb_	R	ET	Bike	Q8	15
Feb_	R	ET	Ped	Q9	38
Feb_	R	ET	Ped	Q10	7
Feb_	R	SPLIT	Car	Q1	-9
Feb_	R	SPLIT	Car	Q2	33
Feb_	R	SPLIT	Car	Q3	0
Feb_	R	SPLIT	Car	Q4	0
Feb_	R	SPLIT	Car	Q5	-33
Feb_	R	SPLIT	Bike	Q6	42
Feb_	R	SPLIT	Bike	Q7	-33
Feb_	R	SPLIT	Bike	Q8	25
Feb_	R	SPLIT	Ped	Q9	58
Feb_	R	SPLIT	Ped	Q10	17
Feb_	R	WK	Car	Q1	0
Feb_	R	WK	Car	Q2	22
Feb_	R	WK	Car	Q3	29
Feb_	R	WK	Car	Q4	0
Feb_	R	WK	Car	Q5	0
Feb_	R	WK	Bike	Q6	7
Feb_	R	WK	Bike	Q7	-7
Feb_	R	WK	Bike	Q8	7
Feb_	R	WK	Ped	Q9	57
Feb_	R	WK	Ped	Q10	7
Feb_	R	MG	Car	Q1	-8
Feb_	R	MG	Car	Q2	8
Feb_	R	MG	Car	Q3	25
Feb_	R	MG	Car	Q4	0
Feb_	R	MG	Car	Q5	0
Feb_	R	MG	Bike	Q6	17
Feb_	R	MG	Bike	Q7	92
Feb_	R	MG	Bike	Q8	0
Feb_	R	MG	Ped	Q9	42
Feb_	R	MG	Ped	Q10	100
Feb_	FV	AS	Car	Q1	15
Feb_	FV	AS	Car	Q2	38
Feb_	FV	AS	Car	Q3	31
Feb_	FV	AS	Car	Q4	23
Feb_	FV	AS	Car	Q5	31
Feb_	FV	AS	Bike	Q6	31
Feb_	FV	AS	Bike	Q7	31
Feb_	FV	AS	Bike	Q8	46
Feb_	FV	AS	Ped	Q9	31
Feb_	FV	AS	Ped	Q10	24
Feb_	MH	AS	Car	Q1	5
Feb_	MH	AS	Car	Q2	14
Feb_	MH	AS	Car	Q3	43
Feb_	MH	AS	Car	Q4	4
Feb_	MH	AS	Car	Q5	5
Feb_	MH	AS	Bike	Q6	43
Feb_	MH	AS	Bike	Q7	19
Feb_	MH	AS	Bike	Q8	5
Feb_	MH	AS	Ped	Q9	57
Feb_	MH	AS	Ped	Q10	9
March	CR	MG	Car	Q1	0
March	CR	MG	Car	Q2	0
March	CR	MG	Car	Q3	54
March	CR	MG	Car	Q4	8
March	CR	MG	Car	Q5	-23
March	CR	MG	Bike	Q6	15
March	CR	MG	Bike	Q7	-7
March	CR	MG	Bike	Q8	23
March	CR	MG	Ped	Q9	54
March	CR	MG	Ped	Q10	62
March	CR	MG	Car	Q1	9
March	CR	MG	Car	Q2	9
March	CR	MG	Car	Q3	36
March	CR	MG	Car	Q4	0
March	CR	MG	Car	Q5	0
March	CR	MG	Bike	Q6	36
March	CR	MG	Bike	Q7	9
March	CR	MG	Bike	Q8	27
March	CR	MG	Ped	Q9	28
March	CR	MG	Ped	Q10	18
March	CR	AS	Car	Q1	0
March	CR	AS	Car	Q2	-7
March	CR	AS	Car	Q3	26
March	CR	AS	Car	Q4	0
March	CR	AS	Car	Q5	-20
March	CR	AS	Bike	Q6	33
March	CR	AS	Bike	Q7	13
March	CR	AS	Bike	Q8	0
March	CR	AS	Ped	Q9	46
March	CR	AS	Ped	Q10	0
March	GM	AS	Car	Q1	0
March	GM	AS	Car	Q2	-9
March	GM	AS	Car	Q3	64
March	GM	AS	Car	Q4	9
March	GM	AS	Car	Q5	-27
March	GM	AS	Bike	Q6	64
March	GM	AS	Bike	Q7	18
March	GM	AS	Bike	Q8	27
March	GM	AS	Ped	Q9	18
March	GM	AS	Ped	Q10	64
March	GM	ET	Car	Q1	0
March	GM	ET	Car	Q2	0
March	GM	ET	Car	Q3	36
March	GM	ET	Car	Q4	9
March	GM	ET	Car	Q5	0
March	GM	ET	Bike	Q6	55
March	GM	ET	Bike	Q7	9
March	GM	ET	Bike	Q8	27
March	GM	ET	Ped	Q9	28
March	GM	ET	Ped	Q10	0
March	GM	ET	Car	Q1	0
March	GM	ET	Car	Q2	11
March	GM	ET	Car	Q3	22
March	GM	ET	Car	Q4	11
March	GM	ET	Car	Q5	11
March	GM	ET	Bike	Q6	67
March	GM	ET	Bike	Q7	11
March	GM	ET	Bike	Q8	22
March	GM	ET	Ped	Q9	56
March	GM	ET	Ped	Q10	23
March	BK	JM	Car	Q1	0
March	BK	JM	Car	Q2	11
March	BK	JM	Car	Q3	73
March	BK	JM	Car	Q4	0
March	BK	JM	Car	Q5	-10
March	BK	JM	Bike	Q6	26
March	BK	JM	Bike	Q7	21
March	BK	JM	Bike	Q8	21
March	BK	JM	Ped	Q9	73
March	BK	JM	Ped	Q10	58
March	BK	WK	Car	Q1	-11
March	BK	WK	Car	Q2	0
March	BK	WK	Car	Q3	39
March	BK	WK	Car	Q4	6
March	BK	WK	Car	Q5	5
March	BK	WK	Bike	Q6	11
March	BK	WK	Bike	Q7	0
March	BK	WK	Bike	Q8	-6
March	BK	WK	Ped	Q9	66
March	BK	WK	Ped	Q10	22
March	BK	MG	Car	Q1	0
March	BK	MG	Car	Q2	6
March	BK	MG	Car	Q3	32
March	BK	MG	Car	Q4	11
March	BK	MG	Car	Q5	0
March	BK	MG	Bike	Q6	21
March	BK	MG	Bike	Q7	47
March	BK	MG	Bike	Q8	5
March	BK	MG	Ped	Q9	52
March	BK	MG	Ped	Q10	21
March	Sh	AS	Car	Q1	-13
March	Sh	AS	Car	Q2	6
March	Sh	AS	Car	Q3	27
March	Sh	AS	Car	Q4	-7
March	Sh	AS	Car	Q5	-13
March	Sh	AS	Bike	Q6	20
March	Sh	AS	Bike	Q7	13
March	Sh	AS	Bike	Q8	0
March	Sh	AS	Ped	Q9	27
March	Sh	AS	Ped	Q10	13
March	Sh	AS	Car	Q1	0
March	Sh	AS	Car	Q2	38
March	Sh	AS	Car	Q3	46
March	Sh	AS	Car	Q4	-7
March	Sh	AS	Car	Q5	-8
March	Sh	AS	Bike	Q6	46
March	Sh	AS	Bike	Q7	8
March	Sh	AS	Bike	Q8	8
March	Sh	AS	Ped	Q9	70
March	Sh	AS	Ped	Q10	-8
March	Sh	AS	Car	Q1	0
March	Sh	AS	Car	Q2	21
March	Sh	AS	Car	Q3	28
March	Sh	AS	Car	Q4	7
March	Sh	AS	Car	Q5	-7
March	Sh	AS	Bike	Q6	29
March	Sh	AS	Bike	Q7	-7
March	Sh	AS	Bike	Q8	7
March	Sh	AS	Ped	Q9	71
March	Sh	AS	Ped	Q10	-14
March	Cy	ET	Car	Q1	0
March	Cy	ET	Car	Q2	18
March	Cy	ET	Car	Q3	23
March	Cy	ET	Car	Q4	6
March	Cy	ET	Car	Q5	-29
March	Cy	ET	Bike	Q6	12
March	Cy	ET	Bike	Q7	0
March	Cy	ET	Bike	Q8	-6
March	Cy	ET	Ped	Q9	41
March	Cy	ET	Ped	Q10	30
March	Cy	ET	Car	Q1	0
March	Cy	ET	Car	Q2	25
March	Cy	ET	Car	Q3	7
March	Cy	ET	Car	Q4	0
March	Cy	ET	Car	Q5	-6
March	Cy	ET	Bike	Q6	25
March	Cy	ET	Bike	Q7	-6
March	Cy	ET	Bike	Q8	31
March	Cy	ET	Ped	Q9	56
March	Cy	ET	Ped	Q10	63
March	MtO	AS	Car	Q1	0
March	MtO	AS	Car	Q2	33
March	MtO	AS	Car	Q3	-9
March	MtO	AS	Car	Q4	8
March	MtO	AS	Car	Q5	-9
March	MtO	AS	Bike	Q6	25
March	MtO	AS	Bike	Q7	16
March	MtO	AS	Bike	Q8	17
March	MtO	AS	Ped	Q9	50
March	MtO	AS	Ped	Q10	25
March	MtO	AS	Car	Q1	0
March	MtO	AS	Car	Q2	0
March	MtO	AS	Car	Q3	45
March	MtO	AS	Car	Q4	9
March	MtO	AS	Car	Q5	-9
March	MtO	AS	Bike	Q6	45
March	MtO	AS	Bike	Q7	27
March	MtO	AS	Bike	Q8	9
March	MtO	AS	Ped	Q9	-9
March	MtO	AS	Ped	Q10	55
March	StJ	ET	Car	Q1	0
March	StJ	ET	Car	Q2	18
March	StJ	ET	Car	Q3	14
March	StJ	ET	Car	Q4	9
March	StJ	ET	Car	Q5	0
March	StJ	ET	Bike	Q6	18
March	StJ	ET	Bike	Q7	23
March	StJ	ET	Bike	Q8	27
March	StJ	ET	Ped	Q9	18
March	StJ	ET	Ped	Q10	14
April	SV	WK	Car	Q1	14
April	SV	WK	Car	Q2	22
April	SV	WK	Car	Q3	50
April	SV	WK	Car	Q4	0
April	SV	WK	Car	Q5	-7
April	SV	WK	Bike	Q6	64
April	SV	WK	Bike	Q7	36
April	SV	WK	Bike	Q8	7
April	SV	WK	Ped	Q9	86
April	SV	WK	Ped	Q10	35
April	SV	JM	Car	Q1	-8
April	SV	JM	Car	Q2	23
April	SV	JM	Car	Q3	69
April	SV	JM	Car	Q4	0
April	SV	JM	Car	Q5	-15
April	SV	JM	Bike	Q6	15
April	SV	JM	Bike	Q7	24
April	SV	JM	Bike	Q8	0
April	SV	JM	Ped	Q9	47
April	SV	JM	Ped	Q10	46
April	SV	MG	Car	Q1	12
April	SV	MG	Car	Q2	6
April	SV	MG	Car	Q3	35
April	SV	MG	Car	Q4	0
April	SV	MG	Car	Q5	-17
April	SV	MG	Bike	Q6	18
April	SV	MG	Bike	Q7	5
April	SV	MG	Bike	Q8	18
April	SV	MG	Ped	Q9	76
April	SV	MG	Ped	Q10	0
April	SV	WK	Car	Q1	0
April	SV	WK	Car	Q2	21
April	SV	WK	Car	Q3	10
April	SV	WK	Car	Q4	0
April	SV	WK	Car	Q5	15
April	SV	WK	Bike	Q6	37
April	SV	WK	Bike	Q7	31
April	SV	WK	Bike	Q8	5
April	SV	WK	Ped	Q9	52
April	SV	WK	Ped	Q10	21
April	Be	AS	Car	Q1	0
April	Be	AS	Car	Q2	-7
April	Be	AS	Car	Q3	56
April	Be	AS	Car	Q4	0
April	Be	AS	Car	Q5	0
April	Be	AS	Bike	Q6	19
April	Be	AS	Bike	Q7	25
April	Be	AS	Bike	Q8	-7
April	Be	AS	Ped	Q9	32
April	Be	AS	Ped	Q10	-12
April	Be	AS	Car	Q1	0
April	Be	AS	Car	Q2	-6
April	Be	AS	Car	Q3	43
April	Be	AS	Car	Q4	6
April	Be	AS	Car	Q5	-13
April	Be	AS	Bike	Q6	44
April	Be	AS	Bike	Q7	0
April	Be	AS	Bike	Q8	12
April	Be	AS	Ped	Q9	62
April	Be	AS	Ped	Q10	-25
April	Be	AS	Car	Q1	0
April	Be	AS	Car	Q2	-10
April	Be	AS	Car	Q3	70
April	Be	AS	Car	Q4	0
April	Be	AS	Car	Q5	-10
April	Be	AS	Bike	Q6	40
April	Be	AS	Bike	Q7	10
April	Be	AS	Bike	Q8	10
April	Be	AS	Ped	Q9	30
April	Be	AS	Ped	Q10	-20
April	Be	AS	Car	Q1	0
April	Be	AS	Car	Q2	7
April	Be	AS	Car	Q3	57
April	Be	AS	Car	Q4	0
April	Be	AS	Car	Q5	-7
April	Be	AS	Bike	Q6	7
April	Be	AS	Bike	Q7	22
April	Be	AS	Bike	Q8	0
April	Be	AS	Ped	Q9	50
April	Be	AS	Ped	Q10	7
April	Gi	AS	Car	Q1	0
April	Gi	AS	Car	Q2	5
April	Gi	AS	Car	Q3	10
April	Gi	AS	Car	Q4	-5
April	Gi	AS	Car	Q5	0
April	Gi	AS	Bike	Q6	5
April	Gi	AS	Bike	Q7	-15
April	Gi	AS	Bike	Q8	15
April	Gi	AS	Ped	Q9	50
April	Gi	AS	Ped	Q10	0
April	Gi	WK	Car	Q1	0
April	Gi	WK	Car	Q2	5
April	Gi	WK	Car	Q3	28
April	Gi	WK	Car	Q4	-6
April	Gi	WK	Car	Q5	6
April	Gi	WK	Bike	Q6	61
April	Gi	WK	Bike	Q7	5
April	Gi	WK	Bike	Q8	17
April	Gi	WK	Ped	Q9	33
April	Gi	WK	Ped	Q10	17
April	PR	WK	Car	Q1	0
April	PR	WK	Car	Q2	0
April	PR	WK	Car	Q3	71
April	PR	WK	Car	Q4	0
April	PR	WK	Car	Q5	0
April	PR	WK	Bike	Q6	14
April	PR	WK	Bike	Q7	0
April	PR	WK	Bike	Q8	7
April	PR	WK	Ped	Q9	50
April	PR	WK	Ped	Q10	7
April	PR	SPLIT	Car	Q1	0
April	PR	SPLIT	Car	Q2	19
April	PR	SPLIT	Car	Q3	37
April	PR	SPLIT	Car	Q4	0
April	PR	SPLIT	Car	Q5	18
April	PR	SPLIT	Bike	Q6	27
April	PR	SPLIT	Bike	Q7	-18
April	PR	SPLIT	Bike	Q8	18
April	PR	SPLIT	Ped	Q9	64
April	PR	SPLIT	Ped	Q10	27
April	PR	MG	Car	Q1	0
April	PR	MG	Car	Q2	17
April	PR	MG	Car	Q3	50
April	PR	MG	Car	Q4	0
April	PR	MG	Car	Q5	9
April	PR	MG	Bike	Q6	8
April	PR	MG	Bike	Q7	-50
April	PR	MG	Bike	Q8	8
April	PR	MG	Ped	Q9	58
April	PR	MG	Ped	Q10	33
April	SH	AS	Car	Q1	-7
April	SH	AS	Car	Q2	0
April	SH	AS	Car	Q3	54
April	SH	AS	Car	Q4	-7
April	SH	AS	Car	Q5	-14
April	SH	AS	Bike	Q6	26
April	SH	AS	Bike	Q7	-7
April	SH	AS	Bike	Q8	7
April	SH	AS	Ped	Q9	54
April	SH	AS	Ped	Q10	7
April	SH	AS	Car	Q1	-11
April	SH	AS	Car	Q2	11
April	SH	AS	Car	Q3	33
April	SH	AS	Car	Q4	-11
April	SH	AS	Car	Q5	11
April	SH	AS	Bike	Q6	67
April	SH	AS	Bike	Q7	11
April	SH	AS	Bike	Q8	11
April	SH	AS	Ped	Q9	11
April	SH	AS	Ped	Q10	22
April	SH	AS	Car	Q1	0
April	SH	AS	Car	Q2	8
April	SH	AS	Car	Q3	-25
April	SH	AS	Car	Q4	0
April	SH	AS	Car	Q5	-17
April	SH	AS	Bike	Q6	34
April	SH	AS	Bike	Q7	34
April	SH	AS	Bike	Q8	8
April	SH	AS	Ped	Q9	59
April	SH	AS	Ped	Q10	-33
April	SH	AS	Car	Q1	6
April	SH	AS	Car	Q2	6
April	SH	AS	Car	Q3	0
April	SH	AS	Car	Q4	0
April	SH	AS	Car	Q5	27
April	SH	AS	Bike	Q6	0
April	SH	AS	Bike	Q7	27
April	SH	AS	Bike	Q8	-20
April	SH	AS	Ped	Q9	33
April	SH	AS	Ped	Q10	-6
April	Ch	JM	Car	Q1	0
April	Ch	JM	Car	Q2	50
April	Ch	JM	Car	Q3	13
April	Ch	JM	Car	Q4	0
April	Ch	JM	Car	Q5	0
April	Ch	JM	Bike	Q6	12
April	Ch	JM	Bike	Q7	12
April	Ch	JM	Bike	Q8	0
April	Ch	JM	Ped	Q9	0
April	Ch	JM	Ped	Q10	-12
April	Ch	JM	Car	Q1	0
April	Ch	JM	Car	Q2	25
April	Ch	JM	Car	Q3	41
April	Ch	JM	Car	Q4	8
April	Ch	JM	Car	Q5	-9
April	Ch	JM	Bike	Q6	50
April	Ch	JM	Bike	Q7	50
April	Ch	JM	Bike	Q8	17
April	Ch	JM	Ped	Q9	66
April	Ch	JM	Ped	Q10	42
April	St	AS	Car	Q1	-6
April	St	AS	Car	Q2	13
April	St	AS	Car	Q3	32
April	St	AS	Car	Q4	0
April	St	AS	Car	Q5	-19
April	St	AS	Bike	Q6	31
April	St	AS	Bike	Q7	6
April	St	AS	Bike	Q8	7
April	St	AS	Ped	Q9	37
April	St	AS	Ped	Q10	0
April	St	AS	Car	Q1	6
April	St	AS	Car	Q2	23
April	St	AS	Car	Q3	18
April	St	AS	Car	Q4	6
April	St	AS	Car	Q5	0
April	St	AS	Bike	Q6	47
April	St	AS	Bike	Q7	12
April	St	AS	Bike	Q8	5
April	St	AS	Ped	Q9	41
April	St	AS	Ped	Q10	-17
April	St	AS	Car	Q1	0
April	St	AS	Car	Q2	13
April	St	AS	Car	Q3	0
April	St	AS	Car	Q4	7
April	St	AS	Car	Q5	13
April	St	AS	Bike	Q6	0
April	St	AS	Bike	Q7	7
April	St	AS	Bike	Q8	27
April	St	AS	Ped	Q9	53
April	St	AS	Ped	Q10	33
April	St	AS	Car	Q1	0
April	St	AS	Car	Q2	6
April	St	AS	Car	Q3	50
April	St	AS	Car	Q4	0
April	St	AS	Car	Q5	-6
April	St	AS	Bike	Q6	37
April	St	AS	Bike	Q7	44
April	St	AS	Bike	Q8	12
April	St	AS	Ped	Q9	38
April	St	AS	Ped	Q10	-12
April	Ch	AS	Car	Q1	0
April	Ch	AS	Car	Q2	15
April	Ch	AS	Car	Q3	46
April	Ch	AS	Car	Q4	15
April	Ch	AS	Car	Q5	-23
April	Ch	AS	Bike	Q6	38
April	Ch	AS	Bike	Q7	8
April	Ch	AS	Bike	Q8	0
April	Ch	AS	Ped	Q9	77
April	Ch	AS	Ped	Q10	23
April	Ch	AS	Car	Q1	0
April	Ch	AS	Car	Q2	29
April	Ch	AS	Car	Q3	14
April	Ch	AS	Car	Q4	0
April	Ch	AS	Car	Q5	14
April	Ch	AS	Bike	Q6	29
April	Ch	AS	Bike	Q7	43
April	Ch	AS	Bike	Q8	0
April	Ch	AS	Ped	Q9	15
April	Ch	AS	Ped	Q10	29
April	Ch	AS	Car	Q1	8
April	Ch	AS	Car	Q2	0
April	Ch	AS	Car	Q3	0
April	Ch	AS	Car	Q4	0
April	Ch	AS	Car	Q5	-15
April	Ch	AS	Bike	Q6	23
April	Ch	AS	Bike	Q7	47
April	Ch	AS	Bike	Q8	-15
April	Ch	AS	Ped	Q9	31
April	Ch	AS	Ped	Q10	-8
May	WH	JM	Car	Q1	0
May	WH	JM	Car	Q2	13
May	WH	JM	Car	Q3	66
May	WH	JM	Car	Q4	0
May	WH	JM	Car	Q5	20
May	WH	JM	Bike	Q6	26
May	WH	JM	Bike	Q7	0
May	WH	JM	Bike	Q8	20
May	WH	JM	Ped	Q9	53
May	WH	JM	Ped	Q10	20
May	WH	JM	Car	Q1	5
May	WH	JM	Car	Q2	20
May	WH	JM	Car	Q3	60
May	WH	JM	Car	Q4	10
May	WH	JM	Car	Q5	-15
May	WH	JM	Bike	Q6	35
May	WH	JM	Bike	Q7	10
May	WH	JM	Bike	Q8	25
May	WH	JM	Ped	Q9	40
May	WH	JM	Ped	Q10	0
May	Lo	ET	Car	Q1	0
May	Lo	ET	Car	Q2	25
May	Lo	ET	Car	Q3	60
May	Lo	ET	Car	Q4	27
May	Lo	ET	Car	Q5	27
May	Lo	ET	Bike	Q6	66
May	Lo	ET	Bike	Q7	-13
May	Lo	ET	Bike	Q8	20
May	Lo	ET	Ped	Q9	40
May	Lo	ET	Ped	Q10	-20
May	Lo	MG	Car	Q1	-6
May	Lo	MG	Car	Q2	25
May	Lo	MG	Car	Q3	37
May	Lo	MG	Car	Q4	0
May	Lo	MG	Car	Q5	0
May	Lo	MG	Bike	Q6	44
May	Lo	MG	Bike	Q7	-7
May	Lo	MG	Bike	Q8	-13
May	Lo	MG	Ped	Q9	31
May	Lo	MG	Ped	Q10	0
May	Lo	MG	Car	Q1	-8
May	Lo	MG	Car	Q2	31
May	Lo	MG	Car	Q3	31
May	Lo	MG	Car	Q4	0
May	Lo	MG	Car	Q5	-7
May	Lo	MG	Bike	Q6	31
May	Lo	MG	Bike	Q7	0
May	Lo	MG	Bike	Q8	16
May	Lo	MG	Ped	Q9	8
May	Lo	MG	Ped	Q10	-8
May	WH	WK	Car	Q1	0
May	WH	WK	Car	Q2	25
May	WH	WK	Car	Q3	32
May	WH	WK	Car	Q4	0
May	WH	WK	Car	Q5	-12
May	WH	WK	Bike	Q6	19
May	WH	WK	Bike	Q7	0
May	WH	WK	Bike	Q8	6
May	WH	WK	Ped	Q9	50
May	WH	WK	Ped	Q10	56
May	WH	JM	Car	Q1	0
May	WH	JM	Car	Q2	18
May	WH	JM	Car	Q3	11
May	WH	JM	Car	Q4	-6
May	WH	JM	Car	Q5	-6
May	WH	JM	Bike	Q6	18
May	WH	JM	Bike	Q7	6
May	WH	JM	Bike	Q8	-6
May	WH	JM	Ped	Q9	42
May	WH	JM	Ped	Q10	29
May	WH	MG	Car	Q1	-6
May	WH	MG	Car	Q2	6
May	WH	MG	Car	Q3	56
May	WH	MG	Car	Q4	5
May	WH	MG	Car	Q5	0
May	WH	MG	Bike	Q6	22
May	WH	MG	Bike	Q7	-11
May	WH	MG	Bike	Q8	11
May	WH	MG	Ped	Q9	16
May	WH	MG	Ped	Q10	-11
May	WH	AS	Car	Q1	5
May	WH	AS	Car	Q2	11
May	WH	AS	Car	Q3	27
May	WH	AS	Car	Q4	16
May	WH	AS	Car	Q5	26
May	WH	AS	Bike	Q6	16
May	WH	AS	Bike	Q7	63
May	WH	AS	Bike	Q8	5
May	WH	AS	Ped	Q9	21
May	WH	AS	Ped	Q10	26
May	RE	JM	Car	Q1	0
May	RE	JM	Car	Q2	4
May	RE	JM	Car	Q3	83
May	RE	JM	Car	Q4	0
May	RE	JM	Car	Q5	0
May	RE	JM	Bike	Q6	21
May	RE	JM	Bike	Q7	12
May	RE	JM	Bike	Q8	8
May	RE	JM	Ped	Q9	63
May	RE	JM	Ped	Q10	46
May	RE	AS	Car	Q1	0
May	RE	AS	Car	Q2	0
May	RE	AS	Car	Q3	38
May	RE	AS	Car	Q4	12
May	RE	AS	Car	Q5	0
May	RE	AS	Bike	Q6	37
May	RE	AS	Bike	Q7	25
May	RE	AS	Bike	Q8	-12
May	RE	AS	Ped	Q9	37
May	RE	AS	Ped	Q10	-12
May	Ep	AS	Car	Q1	0
May	Ep	AS	Car	Q2	0
May	Ep	AS	Car	Q3	18
May	Ep	AS	Car	Q4	6
May	Ep	AS	Car	Q5	-6
May	Ep	AS	Bike	Q6	12
May	Ep	AS	Bike	Q7	0
May	Ep	AS	Bike	Q8	18
May	Ep	AS	Ped	Q9	59
May	Ep	AS	Ped	Q10	29
May	Jp	JM	Car	Q1	0
May	Jp	JM	Car	Q2	31
May	Jp	JM	Car	Q3	43
May	Jp	JM	Car	Q4	0
May	Jp	JM	Car	Q5	-13
May	Jp	JM	Bike	Q6	50
May	Jp	JM	Bike	Q7	0
May	Jp	JM	Bike	Q8	-7
May	Jp	JM	Ped	Q9	62
May	Jp	JM	Ped	Q10	18
May	Jp	JM	Car	Q1	10
May	Jp	JM	Car	Q2	40
May	Jp	JM	Car	Q3	80
May	Jp	JM	Car	Q4	0
May	Jp	JM	Car	Q5	-20
May	Jp	JM	Bike	Q6	30
May	Jp	JM	Bike	Q7	10
May	Jp	JM	Bike	Q8	30
May	Jp	JM	Ped	Q9	20
May	Jp	JM	Ped	Q10	40
May	Jp	MG	Car	Q1	0
May	Jp	MG	Car	Q2	-22
May	Jp	MG	Car	Q3	65
May	Jp	MG	Car	Q4	0
May	Jp	MG	Car	Q5	0
May	Jp	MG	Bike	Q6	0
May	Jp	MG	Bike	Q7	-22
May	Jp	MG	Bike	Q8	0
May	Jp	MG	Ped	Q9	43
May	Jp	MG	Ped	Q10	57
May	Jp	MG	Car	Q1	0
May	Jp	MG	Car	Q2	19
May	Jp	MG	Car	Q3	44
May	Jp	MG	Car	Q4	6
May	Jp	MG	Car	Q5	-13
May	Jp	MG	Bike	Q6	37
May	Jp	MG	Bike	Q7	6
May	Jp	MG	Bike	Q8	19
May	Jp	MG	Ped	Q9	19
May	Jp	MG	Ped	Q10	43
May	NV	AS	Car	Q1	7
May	NV	AS	Car	Q2	14
May	NV	AS	Car	Q3	71
May	NV	AS	Car	Q4	0
May	NV	AS	Car	Q5	14
May	NV	AS	Bike	Q6	50
May	NV	AS	Bike	Q7	14
May	NV	AS	Bike	Q8	29
May	NV	AS	Ped	Q9	57
May	NV	AS	Ped	Q10	57
May	NV	AS	Car	Q1	0
May	NV	AS	Car	Q2	22
May	NV	AS	Car	Q3	21
May	NV	AS	Car	Q4	0
May	NV	AS	Car	Q5	14
May	NV	AS	Bike	Q6	50
May	NV	AS	Bike	Q7	43
May	NV	AS	Bike	Q8	-29
May	NV	AS	Ped	Q9	29
May	NV	AS	Ped	Q10	14
May	NV	AS	Car	Q1	0
May	NV	AS	Car	Q2	-6
May	NV	AS	Car	Q3	47
May	NV	AS	Car	Q4	0
May	NV	AS	Car	Q5	-14
May	NV	AS	Bike	Q6	27
May	NV	AS	Bike	Q7	33
May	NV	AS	Bike	Q8	6
May	NV	AS	Ped	Q9	40
May	NV	AS	Ped	Q10	33
May	NV	ET	Car	Q1	-12
May	NV	ET	Car	Q2	6
May	NV	ET	Car	Q3	12
May	NV	ET	Car	Q4	-12
May	NV	ET	Car	Q5	-6
May	NV	ET	Bike	Q6	38
May	NV	ET	Bike	Q7	25
May	NV	ET	Bike	Q8	0
May	NV	ET	Ped	Q9	19
May	NV	ET	Ped	Q10	13
May	NV	SPLIT	Car	Q1	-8
May	NV	SPLIT	Car	Q2	0
May	NV	SPLIT	Car	Q3	61
May	NV	SPLIT	Car	Q4	15
May	NV	SPLIT	Car	Q5	0
May	NV	SPLIT	Bike	Q6	0
May	NV	SPLIT	Bike	Q7	0
May	NV	SPLIT	Bike	Q8	-7
May	NV	SPLIT	Ped	Q9	39
May	NV	SPLIT	Ped	Q10	0
May	NV	AS	Car	Q1	0
May	NV	AS	Car	Q2	34
May	NV	AS	Car	Q3	33
May	NV	AS	Car	Q4	0
May	NV	AS	Car	Q5	0
May	NV	AS	Bike	Q6	42
May	NV	AS	Bike	Q7	58
May	NV	AS	Bike	Q8	42
May	NV	AS	Ped	Q9	17
May	NV	AS	Ped	Q10	-25
May	NV	AS	Car	Q1	0
May	NV	AS	Car	Q2	25
May	NV	AS	Car	Q3	18
May	NV	AS	Car	Q4	0
May	NV	AS	Car	Q5	0
May	NV	AS	Bike	Q6	37
May	NV	AS	Bike	Q7	19
May	NV	AS	Bike	Q8	7
May	NV	AS	Ped	Q9	63
May	NV	AS	Ped	Q10	38
May	Nw	JM	Car	Q1	0
May	Nw	JM	Car	Q2	-11
May	Nw	JM	Car	Q3	0
May	Nw	JM	Car	Q4	11
May	Nw	JM	Car	Q5	34
May	Nw	JM	Bike	Q6	22
May	Nw	JM	Bike	Q7	-34
May	Nw	JM	Bike	Q8	22
May	Nw	JM	Ped	Q9	34
May	Nw	JM	Ped	Q10	12

Summary Statistics

Overall

Overall descriptive statistics across all questions and months
N	Mean	Median	SD	Min	Max
1780	15.27	10	22.77	-50	100

By Domain

Descriptive statistics by domain
Domain	N	Mean	Median	SD	Min	Max
Car	890	9.62	5	20.19	-44	100
Bike	534	14.63	13	19.45	-50	92
Ped	356	30.35	31	26.46	-50	100

By Question

Descriptive statistics by question
Domain	Question	N	Mean	Median	SD	Min	Max
Car (Q1–Q5)
Car	Q1	178	1.63	0.0	7.20	-24	25
Car	Q2	178	9.47	8.0	13.17	-27	50
Car	Q3	178	37.20	37.5	22.97	-44	100
Car	Q4	178	3.37	0.0	7.37	-12	32
Car	Q5	178	-3.57	-5.5	14.03	-42	50
Bike (Q6–Q8)
Bike	Q6	178	26.92	26.0	16.24	-7	67
Bike	Q7	178	9.34	8.0	21.73	-50	92
Bike	Q8	178	7.64	7.0	13.21	-34	46
Ped (Q9–Q10)
Ped	Q9	178	45.43	47.0	19.93	-12	100
Ped	Q10	178	15.28	15.5	23.44	-50	100

By Month

Descriptive statistics by month
Month	N	Mean	Median	SD	Min	Max
August	160	13.79	10.0	22.03	-36	79
Sept_	140	14.24	10.5	22.99	-50	89
Oct_	190	14.09	8.0	21.20	-42	93
Nov_	120	14.97	8.0	22.57	-28	86
Dec_	160	12.36	8.0	20.70	-34	72
Jan_	180	18.02	8.0	25.21	-27	88
Feb_	160	16.51	9.5	25.29	-50	100
March	170	16.68	11.0	22.29	-29	73
April	260	14.73	8.0	22.76	-50	86
May	240	16.58	13.0	22.37	-34	83

Domain × Month

Mean improvement % by domain and month
Month	Domain	N	Mean	Median	SD
April	Car	130	8.70	0.0	19.27
	Bike	78	16.55	12.0	20.23
	Ped	52	27.10	31.5	28.62
August	Car	80	9.38	6.0	19.57
	Bike	48	14.40	11.0	21.53
	Ped	32	23.94	20.0	25.56
Dec_	Car	80	6.85	3.0	17.66
	Bike	48	12.81	15.0	17.49
	Ped	32	25.47	24.5	26.15
Feb_	Car	80	10.69	8.0	19.39
	Bike	48	17.00	17.0	26.20
	Ped	32	30.31	30.5	31.59
Jan_	Car	90	12.01	0.0	24.76
	Bike	54	15.37	13.5	17.79
	Ped	36	37.03	40.0	27.15
March	Car	85	7.79	0.0	18.67
	Bike	51	19.25	18.0	17.24
	Ped	34	35.03	29.0	25.43
May	Car	120	12.03	2.0	21.44
	Bike	72	16.35	17.0	21.00
	Ped	48	28.27	30.0	22.86
Nov_	Car	60	9.45	4.5	21.95
	Bike	36	13.39	12.5	17.12
	Ped	24	31.12	31.0	24.46
Oct_	Car	95	8.29	0.0	18.47
	Bike	57	10.12	11.0	13.65
	Ped	38	34.55	37.5	24.64
Sept_	Car	70	10.50	7.0	20.23
	Bike	42	8.43	7.0	17.99
	Ped	28	32.29	38.5	27.50

By Instructor

Descriptive statistics by instructor (all domains combined)
Instructor	N	Mean	Median	SD	Min	Max
AS	660	14.60	10	22.18	-50	89
ET	250	14.11	9	21.19	-31	80
JM	320	17.24	12	24.46	-50	100
MG	290	15.29	8	24.32	-50	100
SPLIT	110	16.20	10	22.57	-33	67
WK	150	15.23	9	21.17	-28	86

Instructor × Domain

Mean improvement % by instructor and domain
Instructor	domain	N	Mean	Median	SD
AS	Car	330	8.61	0.0	18.98
	Bike	198	16.98	15.5	19.57
	Ped	132	26.03	29.0	27.64
ET	Car	125	7.53	5.0	18.36
	Bike	75	16.69	15.0	18.49
	Ped	50	26.70	28.5	25.08
JM	Car	160	11.96	7.0	22.42
	Bike	96	13.41	12.0	19.01
	Ped	64	36.19	40.0	27.53
MG	Car	145	11.30	0.0	23.59
	Bike	87	9.47	8.0	19.37
	Ped	58	33.97	32.0	24.07
SPLIT	Car	55	9.98	5.0	19.57
	Bike	33	15.55	18.0	22.16
	Ped	22	32.73	33.5	22.89
WK	Car	75	9.05	5.0	16.04
	Bike	45	12.82	11.0	18.20
	Ped	30	34.27	38.0	25.72

Inferential Statistics

One-Sample t-test: Overall

One-sample t-test: Overall improvement vs. 0%
Mean Improvement (%)	t	p	df	95% CI Low	95% CI High
15.27	28.3	< .001	1779	14.21	16.33

Interpretation: A mean improvement significantly greater than zero indicates that scores increased from pre- to post-assessment across all domains and months.

One-Sample t-test: By Domain

One-sample t-tests by domain: improvement vs. 0%
Domain	Mean Improvement (%)	t	p	df	95% CI Low	95% CI High
Car	9.62	14.21	< .001	889	8.29	10.95
Bike	14.63	17.39	< .001	533	12.98	16.29
Ped	30.35	21.65	< .001	355	27.59	33.11

Interpretation: All three domains show statistically significant improvement (all p < .001). Ped shows the largest mean improvement (30.4%), followed by Bike (14.7%) and Car (9.5%).

One-Sample t-test: By Question

One-sample t-tests by question: improvement vs. 0%
Domain	Question	Mean Improvement (%)	t	p	df	95% CI Low	95% CI High
Car (Q1–Q5)
Car	Q1	1.63	3.02	0.003	177	0.56	2.69
Car	Q2	9.47	9.59	< .001	177	7.52	11.41
Car	Q3	37.20	21.61	< .001	177	33.81	40.60
Car	Q4	3.37	6.10	< .001	177	2.28	4.45
Car	Q5	-3.57	-3.39	< .001	177	-5.64	-1.49
Bike (Q6–Q8)
Bike	Q6	26.92	22.11	< .001	177	24.52	29.32
Bike	Q7	9.34	5.74	< .001	177	6.13	12.56
Bike	Q8	7.64	7.72	< .001	177	5.69	9.59
Ped (Q9–Q10)
Ped	Q9	45.43	30.41	< .001	177	42.48	48.37
Ped	Q10	15.28	8.69	< .001	177	11.81	18.74

Note: Q5 (Car domain) shows a significant negative mean improvement (−3.5%, p < .001), indicating post-test scores on this item were lower than pre-test scores.

One-Sample t-test: By Instructor

One-sample t-tests by instructor: improvement vs. 0%
Instructor	Mean Improvement (%)	t	p	df	95% CI Low	95% CI High
JM	17.24	12.61	< .001	319	14.55	19.93
SPLIT	16.20	7.53	< .001	109	11.93	20.47
MG	15.29	10.70	< .001	289	12.48	18.10
WK	15.23	8.81	< .001	149	11.81	18.64
AS	14.60	16.91	< .001	659	12.91	16.30
ET	14.11	10.53	< .001	249	11.47	16.75

Interpretation: Each row tests whether a given instructor’s mean improvement is significantly different from zero. Instructors are sorted by mean improvement (highest to lowest).

ANOVA: Differences Across Domains

Welch’s one-way ANOVA: improvement differences across domains
df (numerator)	df (denominator)	F	p	Method
2	829.3	89.14	< .001	One-way analysis of means (not assuming equal variances)

Interpretation: F(2, 1175) = 138, p < .001 — mean improvement differs significantly across domains.

Post-Hoc Comparisons (Bonferroni)

Bonferroni-adjusted pairwise comparisons across domains
Group 1	Group 2	Adjusted p
Bike	Car	< .001
Ped	Car	< .001
Ped	Bike	< .001

Interpretation: All three domain pairs are significantly different (all p < .001). Ped > Bike > Car in mean improvement.

Safety City Traffic Test Analysis (2021–2022)

2026-06-16

Data Pipeline

Cleaning & Formatting Script

Descriptive Statistics Script

Inferential Statistics Script

Results

Full Cleaned Data

Long-Format Data (with Domains)

Summary Statistics

Overall

By Domain

By Question

By Month

Domain × Month

By Instructor

Instructor × Domain

Inferential Statistics

One-Sample t-test: Overall

One-Sample t-test: By Domain

One-Sample t-test: By Question

One-Sample t-test: By Instructor

ANOVA: Differences Across Domains

Post-Hoc Comparisons (Bonferroni)

Visualizations

Distribution by Domain

Mean Improvement by Question

Mean Improvement by Month

Domain Trends by Month

T-test Results: Confidence Intervals

Improvement by Instructor

Instructor × Domain Heatmap