Evaluating the Effectiveness of Traffic Network Management Systems for Congested Corridors: A Simulation Testbed and Analysis

Two main approaches are generally considered for developing decision support capabilities for real-time traffic network management systems: expert-based and optimization-based. Following the expert-based approach, traffic network management schemes are generated a priori based on off-line analysis of historical data that represents dominant observed congestion patterns. The optimization-based approach incorporates optimization techniques that are capable of constructing the most efficient traffic network management scheme on-line based on the prevailing network condition. The paper presents a simulation testbed for evaluating traffic network management systems considering these two approaches under different operational conditions. The testbed is calibrated using real-world traffic observations for the US75 Corridor in Dallas, Texas. The results show that the optimization-based approach is capable of providing more effective traffic management schemes compared to those generated by the expert-based approach.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee ABJ70 Standing Committee on Artificial Intelligence and Advanced Computing Applications.
  • Corporate Authors:

    Transportation Research Board

    500 Fifth Street, NW
    Washington, DC  United States  20001
  • Authors:
    • Hashemi, Hossein
    • Abdelghany, Khaled
    • Yelchuru, Balaji
    • Zohdy, Ismail
  • Conference:
  • Date: 2016

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; Maps; References; Tables;
  • Pagination: 17p
  • Monograph Title: TRB 95th Annual Meeting Compendium of Papers

Subject/Index Terms

Filing Info

  • Accession Number: 01594078
  • Record Type: Publication
  • Report/Paper Numbers: 16-5115
  • Files: TRIS, TRB, ATRI
  • Created Date: Mar 21 2016 4:40PM