Platoon Dispersion Modeling under Indian Traffic Conditions

With growing demand for travel, most Indian cities face problems of congestion, acute delay and pollution. There are different approaches adopted by transportation engineers and planners to address such problems. One approach is to efficiently co-ordinate the signals in a traffic network using automated methods. Such automated methods make use of knowledge of traffic's progression from an upstream signal to a downstream signal. The signal directs the movement of vehicles in groups during the release of traffic at green light that are called vehicle platoons. A very simple and accepted notion for signal coordination is that the green light should start when the platoon from the previous signal reaches the signal so that average delay is minimized. For efficient signal coordination, the effect of platoon dispersion should be taken into consideration. Among the different platoon dispersion models, the Robertson's model is widely used in automated signal co-ordination. In this paper, Robertson's model was modified to account for the heterogeneity observed in Indian traffic conditions, and an optimization approach was taken to estimate model parameters in a methodical and time-efficient way. The results from the proposed models were compared with the traditional Robertson's model that was calibrated for Indian conditions. The results showed that the performance of proposed models was almost on par with the calibrated Robertson's model. Also, the proposed models would be more apt for real time application given the traditional trial and error method of estimating the parameters that is more time consuming.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee AHB25 Standing Committee on Traffic Signal Systems.
  • Corporate Authors:

    Transportation Research Board

    500 Fifth Street, NW
    Washington, DC  United States  20001
  • Authors:
    • Vanajakshi, Lelitha
    • Sharma, Anuj
    • Subramanian, Shankar C
    • Badhrudeen, Mohamed
    • Thomas, Helen
  • Conference:
  • Date: 2017


  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 15p
  • Monograph Title: TRB 96th Annual Meeting Compendium of Papers

Subject/Index Terms

Filing Info

  • Accession Number: 01628878
  • Record Type: Publication
  • Report/Paper Numbers: 17-03975
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 8 2016 11:31AM