Published Paper Details:

The challenges in road management, particularly in regulating traffic and mitigating conflicts on smart city roads, are a pressing concern. This paper aims to determine a risk index for safety prediction, assess the performance improvement of safety measures, provide early accident warnings, and determine the fatal rate using trajectory methods to analyze driver behavior, road safety, traffic flow, and vehicle behavior in Bhopal city. The analysis reveals that the highest risk index is concentrated between 5 PM and 7 PM, with peak values observed on Sundays. The findings are based on an examination of various days at different time intervals on smart city roads, particularly focusing on aspects such as driver behavior, vehicle interactions at junctions, and curves. Peak traffic congestion hours are identified as occurring between 5 PM and 7 PM, with slightly elevated traffic volumes between 9 AM and 10 AM. The study underscores non-compliance with traffic rules, including issues like malfunctioning signals, U-turns in the same lane, unauthorized parking, and vehicles encroaching on pedestrian crossings as contributing factors to heightened risk during the identified peak hours. In conclusion, this research provides insights into the challenges and risk factors associated with traffic management and safety in a smart city context, emphasizing specific time frames and days with elevated risk indices. The findings can inform strategies for enhancing road safety and traffic management in Bhopal's smart city road area.