Multi-modal Traffic Signal Control in a Shared Space Network

This paper explicitly addresses the multi-modal traffic signal control problem in the shared space network (SSN), where there are multiple travel modes (e.g. passenger cars, buses, and light rails) competing for their spaces in the same lane. SSN widely exists in central business districts where the road space is limited and the multi-modal travel demand is high. An optimization framework with a multi-modal cell transmission model (M-CTM) is developed to model the multi-modal traffic in the network. Regarding multi-modal signal coordination, a novel cycle-based traffic signal plan selection model is developed to choose the best offline optimized signal plan. Therefore, the computation burden is significantly reduced in the optimization model. Two case studies in an artificial network and downtown Buffalo validate the proposed model.

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

  Transportation Research Board

  ,    
• Authors:
  • Tang, Li
  • He, Qing
  • Qiao, Chunming
• Conference:
  • Transportation Research Board 98th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2019-1-13 to 2019-1-17
• Date: 2019

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 7p

Subject/Index Terms

• TRT Terms: Case studies; Central business districts; Multimodal transportation; Optimization; Traffic models; Traffic signal control systems
• Uncontrolled Terms: Shared networks
• Geographic Terms: Buffalo (New York)
• Subject Areas: Highways; Operations and Traffic Management; Pedestrians and Bicyclists; Planning and Forecasting; Public Transportation;

Filing Info

• Accession Number: 01698312
• Record Type: Publication
• Report/Paper Numbers: 19-04769
• Files: TRIS, TRB, ATRI
• Created Date: Mar 1 2019 3:51PM