The purpose of this study is to conduct a complete analysis of the road traffic crashes that have occurred in Chandigarh. The study takes into consideration a variety of factors, including time trends, spatial distribution, and regression analysis, to identify the primary factors that contribute to the crashes. A significant number of people have lost their lives as a result of collisions, and the study highlights the substantial risk that pedestrians, cyclists, and users of two-wheeled vehicles face. The most important statistical approaches that are utilized are Poisson regression and logistic regression. The former is used to investigate the relationship between collision rates and traffic volume, while the latter is used to identify the impact of time, user type, and location on fatalities that caused crashes. The findings highlight the necessity of specific actions in the high-risk zones or “black spots” that have been identified, and they also highlight the importance of expanded safety measures for the most vulnerable road users, as well as improvements in road infrastructure. The study makes use of Geographic Information Systems (GIS) to perform spatial analysis, which demonstrates that certain high-traffic intersections are the locations where the majority of crashes occur. In the end, the study provides support for the formulation of policies that are driven by data and will also assist reduce the number of fatalities that occur in traffic and promote road safety.