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Delay Optimization Using Genetic Algorithm at the Road Intersection

Author

Listed:
  • Bharti Sharma

    (Shivalik College of Engineering Dehradun, India)

  • Sachin Kumar

    (College of Information Business Systems, National University of Science and Technology, MISiS, Russian Federation)

Abstract

Metropolitan road traffic mechanisms in developing countries are a critical problem due to fast motorization. The optimization of traffic control is one method to decrease this problem. In this study, a genetic algorithm was implemented to minimize delay at an intersection by finding red and green cycle intervals at an intersection. The objective function minimizes the delay at an intersection and increases progressive flows of traffic on roads. The study was done on real data collected from three t- intersections in the city of Hardwar, India. Traffic data for traffic flows, queue sizes, and traffic speed are collected using video detection systems in the study area. The digital images from the camera were analyzed in real time. The results show that the traffic control performance is improved up to 85% over existing algorithms proposed by the same author.

Suggested Citation

  • Bharti Sharma & Sachin Kumar, 2019. "Delay Optimization Using Genetic Algorithm at the Road Intersection," International Journal of Information Retrieval Research (IJIRR), IGI Global, vol. 9(2), pages 1-10, April.
    • Handle: RePEc:igg:jirr00:v:9:y:2019:i:2:p:1-10
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    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJIRR.2019040101
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