Multi-objective Optimization at Isolated Intersections with Cellular Automata

Increasing traffic volumes result in congestion especially at intersections in urban areas. Effective regulation of vehicle flows at intersections has always been an important issue in the traffic control system. This paper presents a multi-objective optimization method at intersections with cellular automata. Vehicle conflicts and pedestrian interference are considered. Three categories of the traffic performance are studied including transportation efficiency, energy consumption and road safety. The signal timing and lane assignment are optimized for different traffic flows. The multi-objective optimization problem is solved with cell mapping method. The optimization results show the conflicting nature of different traffic performance. The influence of different traffic variables on the intersection performance is investigated in the perspective of optimization. It is observed that the proposed optimization method is effective in controlling the traffic at the intersection to meet multiple objectives. Transportation efficiency can be usually improved by the permissive left-turn signal, which sacrifices safety. Right-turn traffic suffers significantly when the right-turn lanes are shared with the through vehicles. The effect of vehicle flow on the optimization results is significant. Pedestrians have strong interference with the traffic system.

  • 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:
    • Li, Xiang
    • Sun, Jian-Qiao
  • Conference:
  • Date: 2016

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 15p
  • Monograph Title: TRB 95th Annual Meeting Compendium of Papers

Subject/Index Terms

Filing Info

  • Accession Number: 01589884
  • Record Type: Publication
  • Report/Paper Numbers: 16-0675
  • Files: TRIS, TRB, ATRI
  • Created Date: Feb 8 2016 10:32AM