Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Implementation of Intelligent Traffic Management System

Author : Sumal Raj M 1 Mahesha Y 2

Date of Publication :7th June 2016

Abstract: Traffic in today’s world is one of the major sources of time delays. Inefficiencies in managing the traffic and underutilization of capacity of roads gives rise to long time delays. An efficient traffic system is needed for safety of lives, property, time and economy. The System proposed solves the problem of high traffic congestion on the Indian roads with the use of control on traffic lights and then increasing the time of these signal based on real time traffic data got from various sources. The proposed system is a design and implementation of low cost, low power consuming and more reliable Infrared based intelligent Traffic System. The system is a wireless network based which contains infrared transmitter with a unique identification number and infrared receiver. As this is a traffic system there is a need to ensure the security of the system as well, This is done by introducing a MD5 checksum to verify that the code is the same and has not been tampered with. The project also includes a checksum to verify the integrity of the message it gets and checks that the message has not been tampered with. The implemented project promises to get the better results in traffic and on road. The project implementation can be improved in various ways, such as higher clearance for emergency services etc. Also more reliable sources of the acquisition of traffic data can be found which will further improve how well the algorithm functions in improving the traffic condition on the road.

Reference :

    1. Greater amman municipality “traffic report stud 2007,” http://www.ammancity.gov.jo/arabic/docs/gam4 -2007.pdf.
    2. The vehicle detector clearinghouse, “a summary of vehicle detection and surveillance technologies used in intelligent transportation systems,” southwest technology development institute, 2000.
    3. Minnesota department of transportation, “portable non­intrusive traffic detectionsystem,” http://www3.dot.state.mn.us/guidestar/pdf/pnitds /techmemo-axlebased.pdf.
    4. S. Coleri, s. Y. Cheung, and p. Varaiya, “sensor networks for monitoring traffic,” in proceedings of the 42nd annual allerton conference on communication, control, and computing, 2004, pp. 32-40.
    5. I.F. Akyildiz, w. Su, y. Sankarasubramaniam, and e. Cayirci, “a survey on sensor networks,” ieee communications magazine, vol. 40, 2002, pp. 102-114
    6. A. N. Knaian, “a wireless sensor network for smart roadbeds and intelligent transportation systems,” technical report, electrical science and engineering, massachusetts institute of technology, june 2000.
    7. W. J. Chen, l. F. Chen, z. L. Chen, and s. L. Tu, “a real time dynamic traffic control system based on wireless sensor network,” in proceedings of the 2005 international conference on parallel processing workshops, vol. 14, 2005, pp. 258-264.

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