A Survey on Traffic Modeling and Mitigation Techniques

A Survey on Traffic Modeling and Mitigation Techniques

Pallavi Buwa∗, Varun Taneja†, Aarya Chaumal‡, Jibi Abraham§ and Ashwini Matangefj

Dept. of Computer Engineering and Information Technology, COEP Tech Pune, India

Email: ∗buwapu19.comp@coep.ac.in, †tanejavp19.comp@coep.ac.in, ‡chaumalam19.comp@coep.ac.in,

§ja.comp@coep.ac.in, fjasm.comp@coep.ac.in

Abstract—The growing road traffic congestion in India is becoming more prevalent nowadays, the worst hit being the metropolitan and developed cities. Its ever-increasing nature poses a threat to development and requires quick action to help ease the troubles faced by people on a day-to-day basis. Modern technology offers a great aid to these efforts by providing mechanisms to model the travel patterns of a region and provide quick congestion relief by introducing adaptive traffic signals that operate based on the current traffic density of the road. In this paper, we present a survey of the most popular techniques involving travel demand modeling and adaptive signal control and compare the various methods employed by researchers to tackle both of these issues separately. The survey focuses on analyzing these methods from the perspective of implementation in an Indian scenario and offering a theoretical solution that involves the use of both these techniques to ease the problem of traffic congestion.

Index Terms—road traffic congestion mitigation, adaptive traf- fic signal, travel demand modeling,