Intelligent Traffic Light Control with Wireless Sensor Networks
Shreyta Kulkarni, , Vikesh Dass, Aseem Sharma
Abstract
In this paper, the design of a system that utilizes and efficiently manages traffic light controllers is presented. The main motto is the real-time adaptive control of the traffic lights. The existing methods for traffic management and control are not adequately efficient in terms of performance, cost, maintenance, and support. We present an adaptive traffic control system based on a new traffic infrastructure using Wireless Sensor Network (WSN) and using new techniques for controlling the traffic flow sequences. These techniques are dynamically adaptive to traffic conditions on both single and multiple intersections. In the system architecture, the main focus is on use of wireless sensor network in place of pneumatic road tubes, inductive loop detectors and micro loop probs. The wireless sensors are deployed on the lanes going in and out the intersection. The simulation proposed by us shows the efficiency of the proposed scheme in solving traffic congestion in terms of the average waiting time and average queue length on the single intersection and thus in turn efficient global traffic flow control on multiple intersections.
Intelligent traffic signal control, intelligent traffic control agents, smart signals, wireless sensor networks.
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[Shreyta Kulkarni, , Vikesh Dass, Aseem Sharma (2014), Intelligent Traffic Light Control with Wireless Sensor Networks, International Journal of Innovative Research in Computer Science & Technology (IJIRCST), Vol-2, Issue-2, Page No-36-39], (ISSN 2347 - 5552). www.ijircst.org
Shreyta Kulkarni,
Department of Computer Science, Pimpri Chinchwad College of Engineering, Pune, India. email:shreytakulkarni@gmail.com
