Adaptive Model-Based Offset Optimization for Congested Arterial Network

Proper determination and application of intersection offsets provide for the efficient movement of platoons through multiple intersections during the green signal. Generally, two major strategies for developing signal coordination timing plans are used: bandwidth maximization and flow profile methods. However, most existing coordination algorithms do not directly consider the dynamic evolution of queues at intersection approaches, so their application to congested conditions may lead to suboptimal results. With embedded traffic flow models for the signalized arterial network, the traffic state equations and queue evolution equations can be established. Then the coordination problem can be described as a mathematical optimization problem to minimize or maximize a performance measure, which is a complex function of the signal timing, traffic state, and queue dynamic parameters. This research expands the dynamic queue concept to the network-wide coordination problem. First, the ideal offset and boundary offsets to avoid spillback and starvation are found based on the shockwave profiles at each signalized intersection. Then, an adjustment factor to the ideal offset is introduced to formulate the penalty function, and the objective function is to minimize the penalty cost of ideal offset for the whole network. Simulation experiment results showed that the proposed model outperformed SYNCHRO in producing network-wide coordination, although the delays of some intersections increased.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 14p
  • Monograph Title: TRB 93rd Annual Meeting Compendium of Papers

Subject/Index Terms

Filing Info

  • Accession Number: 01506628
  • Record Type: Publication
  • Report/Paper Numbers: 14-1559
  • Files: TRIS, TRB, ATRI
  • Created Date: Feb 7 2014 10:12AM