Drivers
This tab is designed to educate about the behavior of drivers before and after crashes to prevent crashes.
This tab is designed to educate about the behavior of drivers before and after crashes to prevent crashes.
The pie chart highlights the gender of individuals involved in collisions. The data is categorized as Male, Female, and Unknown. From the visualization, we can see that more males are involved in collisions compared to females, with the proportion of male individuals being more than double that of females. This disparity may point to differences in driving behavior and other contributing factors.
This pie chart illustrates the distribution of driver license statuses among individuals involved in vehicle collisions. The data shows the proportion of drivers who are licensed, unlicensed, or have their permit. From this visualization, we see that most collisions occur with drivers who are licensed.
The average age of people involved in collisions in New York City changes throughout the day. There is a lower average in ages very early in the morning and higher averages during commute times around 8-9am and 6PM when the roads are mostly busy.
This visualization provides insight into the primary contributing factors of collisions. The most common factor contributing to these collisions is Driver’s Inattention or distraction followed by a failure to Yield to the right of way, which points to issues regarding the driver’s judgment and their ability to follow traffic rules.
This heatmap visualizes the relationship between the initial point of impact and what behavior on the driver’s part led to this collision. The intensity of the color signifies how frequently each combination occurred. From this visualization, we can see that most collisions happened while drivers were travelling straight ahead, with the initial point of impact most often being the center front of the vehicle. This shows that head on crashes are the most common.