Multi-modal Hierarchically Responsive Signal Control with a Lexicographical Dynamic Programming Approach

This paper develops a Multi-modal HierArchically Responsive Signal control model called MARS for trajectory-based signal control, by assuming that high penetration of floating sensors (e.g. Connected Vehicles, Smartphones, etc.) is available. First, this study conducts a comprehensive survey with traffic signal professionals, who bring up existing state-of-practice, open issues and future challenges in multi-modal traffic signal control. This survey also identifies the issues of current weight-based modeling for multi-modal control. It is found that assigning weights cannot be tied with delay of each mode in a straight forward manner. Second, by using multi-modal trajectory data, this paper develops a hierarchically multi-modal signal control model, in which each travel mode is solved by a dynamic programming hierarchically with the consideration of the delay and budget from upper-level modes. Further, the proposed control model is evaluated by microscopic simulation tool VISSIM at an isolated intersection, including three competing travel modes: light rail, buses and passenger cars (with trucks).

• Supplemental Notes:
  • This paper was sponsored by TRB committee AHB25 Standing Committee on Traffic Signal Systems. Alternate title: Multimodal Hierarchically Responsive Signal Control with Lexicographical Dynamic Programming Approach.
• Corporate Authors:

  Transportation Research Board

  500 Fifth Street, NW
  Washington, DC  United States  20001
• Authors:
  • Caceres, Hernan
  • Kandukuri, Manoj Reddy
  • He, Qing
  • Zhang, Zhenhua
• Conference:
  • Transportation Research Board 96th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2017-1-8 to 2017-1-12
• Date: 2017

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 21p
• Monograph Title: TRB 96th Annual Meeting Compendium of Papers

Subject/Index Terms

• TRT Terms: Dynamic programming; Optimization; Signalization; Vehicle trajectories
• Subject Areas: Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01628123
• Record Type: Publication
• Report/Paper Numbers: 17-01779
• Files: TRIS, TRB, ATRI
• Created Date: Mar 7 2017 10:25AM