The theme of this project is to analyze traffic accident data. We will use graphical methods to show how different weather conditions, road types, and other related factors affect the severity of accidents and the number of casualties.
The specific visualizations will include:
Key Features:
1,000 records covering accident
cases across different locations. Geospatial data (latitude, longitude)
for mapping accident locations. Weather and road conditions to analyze
external factors affecting accidents. Vehicle involvement &
casualties data for severity assessment. Traffic rule violations (e.g.,
alcohol involvement, traffic signals).
Possible Use
Cases:
- Road safety analysis
- Accident severity
prediction
- Data visualization for policy recommendations
Insight
1. 81% of accidents occur in non-clear weather
conditions.
2. Rainy weather accounts for the highest
proportion of accidents, mainly due to low visibility and slippery road
conditions.
Insight
Adverse weather conditions significantly
increase the severity of traffic accidents. he proportion of severe
injuries and fatal accidents is often higher on rainy and snowy days
compared to clear days.
Insight
1. According to the data, the frequency of
fatal accidents is higher during specific time periods (such as morning
and evening rush hours). Additionally, the severity of accidents (e.g.,
number of casualties or accident level) fluctuates significantly during
these times.
2.The data indicates that the severity of
accidents is higher during morning and evening rush hours. This may be
due to increased traffic volume and driver fatigue during these
periods.