SMART TRAFFIC MANAGEMENT SYETEM USING SIMULATION

Authors: Ujjwal Mishra, Mukesh Maurya, Krishna Yadav, Prateek Tiwari, Dr.B.K. Sharma, Assistant professor Nitin Sharma

Abstract: This study has been undertaken to build a Smart Traffic Management System using two modern technology and tools. Smart Traffic Management System (STMS) is a live Python/Pygame simulation of an urban intersection that models adaptive traffic control. It provides a graphical user interface (GUI) where users can adjust the vehicle spawn rate and the probability of emergency vehicles to create light or heavy traffic scenarios. Unlike fixed-schedule signals, the STMS dynamically alters signal durations in response to simulated real-time traffic conditions. Our simulation similarly uses virtual detectors (vehicle counts) to extend green lights when queues grow and shorten them when approaches clear, mimicking how modern controllers reduce delays and improve travel times tracking system at intersections of roads. The system detects the arrival of emergency vehicles such as ambulance, fire truck, etc. and adjusts traffic lights to speed up their passage, shortening response time. The goal of this STMS simulation is to demonstrate how intelligent signal control can reduce congestion and improve emergency response in a city setting. This conceptual model captures key aspects of smart traffic management in a simulated environment. (Note: this is a simulation– it does not use live camera or sensor feeds, but is designed to mimic their effect.)