Minimum Control Ratio of Autonomous Vehicles for Achieving System Optimum of Transportation Networks

In many years to come when traffic stream will be mixed with conventional and automated vehicles (AVs), AVs may be employed as mobile actuators to regulate or manage traffic flow across an urban road network to enhance its performance. This paper develops a minimum-ratio control scheme (MRCS) to achieve the system optimum (SO) of the network by controlling a portion of AVs as per the SO routing principle. A linear programming model is formulated to delineate the MRCS and determine the minimum control ratio (MCR) of AVs to achieve SO. The properties of the MCR are mathematically and numerically investigated. Numerical examples based on real-world networks suggest that the SO of most of the tested networks can be achieved with a MCR below 23%.

• Supplemental Notes:
  • This paper was sponsored by TRB committee ADB30 Standing Committee on Transportation Network Modeling.
• Corporate Authors:

  Transportation Research Board

  ,    
• Authors:
  • Chen, Zhibin
  • Lin, Xi
  • Yin, Yafeng
  • Li, Meng
• 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: Autonomous vehicles; Highway traffic control; Linear programming; Networks; Optimization
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; Vehicles and Equipment;

Filing Info

• Accession Number: 01698243
• Record Type: Publication
• Report/Paper Numbers: 19-02506
• Files: TRIS, TRB, ATRI
• Created Date: Mar 1 2019 3:51PM