Comparative Analysis of Traffic Simulation Parameters Using SUMO and TraCI API

Abstract: Traffic simulation plays a vital role in evaluating and optimizing urban mobility systems. This study presents a comparative analysis of key traffic simulation parameters using the Simulation of Urban Mobility (SUMO) along with its Traffic Control Interface (TraCI) API. By adjusting parameters such as vehicle speed, acceleration, lane-changing behavior, and traffic signal timing, the research examines their impact on traffic performance of vehicles, specifically overall travel time, queue length, and vehicular throughput. The study leverages TraCI to dynamically control and monitor simulation components in real time, enabling a more detailed understanding of how individual parameters influence system behavior. Multiple traffic scenarios are tested using both static and adaptive control strategies to provide a comprehensive comparison. Results were compared to identify which parameters have the most significant effect on traffic flow. Fine-tuning these parameters how them can lead to more efficient and realistic simulations.

Keywords: Traffic Violations, Data Analytics, Over speeding, Signal Jumping, Jaywalking