Analysis of heterogeneous traffic volume studies and optimization of signal cycle length by vissim software

  • Authors

    • C Samuel Peter
    • V SiddardhaVarma
    • G Sridevi
    https://doi.org/10.14419/ijet.v7i3.29.19293
  • Cycle Length, Signal, Webster Method, Peak Hour Volume, VISSIM
  • Now –a-days the design of traffic signal has become an important factor for controlling traffic movement at intersection in towns and cities. Traffic signals not only reduce the accidents but also enable the road safety to users for an effective use of road at intersection

    In the following studies the traffic volume at a particular junction is taken and simulation technique is adopted to reduce the delays, congestion etc. Traffic volume is considered in hourly basis for a week classifying the vehicles into different types and the maximum Peak hour volume is taken and the signal time is designed for the maximum peak hour volume. Signal time can be calculated by Webster’s method in which green time, cycle time can be known, and the obtained results are simulated in VISSIM software which gives a total delay occurring at junction by which signal time at a particular leg may be optimized.

     

     

  • References

    1. [1] Hyderabad second slowest average traffic speed†Article in TIMES OF INDIA dated Dec 30, 2017, survey conducted by Cab aggregator Company.

      [2] “Evaluation of Traffic producing turbulence schemes within operational street pollution models using roadside measurements’ journal from Science direct Volume 41, Issue 26, and August 2007.

      [3] Day, C. M., Bullock, D. M. and Sturdevant, J. R. (2009) Cycle-Length Performance Measures. Transportation Research Record: Journal of the Transportation Research Board, No. 2128, Transportation Research Board of the National Academies, Washington, D.C., pp 48-57.

      [4] Dowling R., Flannery A., Landis B., Petritsch T., Rouphail N., Ryus P. (2008) Multimodal Level of Service for Urban Streets. Transportation Research Record: Journal of the Transportation Research Board, No. 2071, Transportation research Board of the National Academies, Washington, D.C., pp 1-7.

      [5] Ishaque and Noland (2007) Trade-offs between vehicular and pedestrian traffic using micro-simulation methods. Transport Policy Journal, Volume 14, Issue 2, pp 124-138.

  • Downloads

  • How to Cite

    Samuel Peter, C., SiddardhaVarma, V., & Sridevi, G. (2018). Analysis of heterogeneous traffic volume studies and optimization of signal cycle length by vissim software. International Journal of Engineering & Technology, 7(3.29), 474-478. https://doi.org/10.14419/ijet.v7i3.29.19293