Published Paper Details:

The problem of motorcycle collisions is one of the leading issues of road safety, but the danger is not constant all the time and all day. vehicle characteristics. This paper conducts statistical research into the data on motorcycle crashes to address three useful questions: (1) at what times of the day collisions were concentrated (and are still concentrated) (peak hours), (2) are collisions. more probable on weekends than on weekdays, and (3) patterns of collision varying between vehicle makes and whether make and day type are independent variables. We start with descriptive profiling of collision frequency by car model and time of collision, and a sharp peak in late-afternoon hours. Next, we use Bayes' Rule to compare the conditional likelihood of observing a crash on weekends versus weekdays. Finally, we test the independence of vehicle make and day type using Pearson's Chi-Square test, finding strong evidence of dependence between make and whether a collision occurs on a weekday or weekend. Together, these results suggest that motorcycle collision occurrence varies meaningfully with temporal context and vehicle-make composition, motivating targeted safety messaging and enforcement strategies that align with peak-hour and weekend-driven risk patterns