Real time traffic control: a soft computing approach

  • Authors:

  • D. Teodorović;J. Popović;P. Lučić

  • Affiliations:

  • Department of Civil and Environmental Engineering, Virginia Polytechnic Institute and State University, Northern Virginia Center, Falls Church, VA;Faculty of Transport and Traffic Engineering, University of Belgrade, Belgrade, Serbia and Montenegro;CSSI, Inc., Washington, DC

  • Venue:
  • ICAI'05/MCBC'05/AMTA'05/MCBE'05 Proceedings of the 6th WSEAS international conference on Automation & information, and 6th WSEAS international conference on mathematics and computers in biology and chemistry, and 6th WSEAS international conference on acoustics and music: theory and applications, and 6th WSEAS international conference on Mathematics and computers in business and economics
  • Year:
  • 2005

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Abstract

This paper describes Soft Computing approach to modeling time-dependent (dynamic, real time) transportation phenomenon characterized by uncertainty. The proposed "intelligent" control systems that are based on a combination of fuzzy logic (or neural networks) and mathematical programming (or heuristic) techniques make "on line" control decisions of the highest quality. In the first step of the proposed model, the best control strategies are developed off line for many different traffic patterns. These strategies are developed using mathematical programming or heuristic approach. In the second step, learning from the best strategies, fuzzy rule base is created from numerical data (or neural network is trained). Applications of the systems are considered for the stochastic vehicle routing, and real-time traffic control at the isolated intersection.