Open Access Journal

ISSN : 2394 - 6849 (Online)

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Open Access Journal

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

ISSN : 2394-6849 (Online)

Intelligent Adaptive Traffic Light Control

Author : S. Ms. Patil Nikita 1 Ms. Dudhane Shweta S 2 Ms. Udgave Komal J 3 Mr.Diwakar T.M 4

Date of Publication :7th February 2017

Abstract: Traffic congestion is one of the major problems, the world is facing today. Traffic monitoring and controlling is a difficult task. The aim of the traffic research is to optimize the flow of vehicular traffic and goods. One way to improve the traffic flow and safety of the current transportation system is to apply automation, intelligent and adaptive signal control methods. Adaptive traffic control and traffic density monitoring system aims at automatically adjusting released time of vehicles as per density available to the roads at the intersection. To reduce the manual work & utilize the time allotted by traffic signal effectively for better transportation system & to help the emergency vehicles to reach their destination faster. We are designing this project to control traffic light through microcontroller. It consumes less time & reduces human efforts. The main advantage of this project is traffic light control according to vehicles density on the roads. Fuel consumption and toxic gases emission can be reduced. Emergency vehicles can reach their destination in less time. This proposed system will be used to build a smart city with less traffic jams.

Reference :

  1. [1] S. Krauss ―Microscopic modeling of traffic flow : investigation of collision free vehicle dynamics,‖ PhD Dissertation, 1998

    [2]Sing Yiu Cheung, SinemColeri, BarisDundar, Sumitra Ganesh, Chin Woo Tan, and PravinVaraiya. Traffic measurement and vehicle classification with a single magnetic sensor. Journal of the Transportation Research Board, February 2006.

    [3] Wenjie Chen, Lifeng Chen, Zhang long Chen, and Shi liang Tu. Wits: A wireless sensor network for intelligent transportation system. In Interdisciplinary and Multidisciplinary Research in Computer Science, IEEE CS Proceeding of the First International Multi-Symposium of Computer and Computational Sciences (IMSCCS—06), June 20-24, 2006,Zhejiang University, Hangzhou, China, Vol. 2, pages 635–641. IEEEComputer Society, 2006.

    [4] Marco Wiering, ―Intelligent Traffic Light Control‖, Institute of information and computing sciences, Utrecht University.

    [5] Intelligent Traffic Control Unit, International Journal of Electrical, Electronics and Computer Engineering 2(2): 66- 72(2013)


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