Lane Management and Dynamic Platoon Control in Interregional Corridors with a Mixed Demand of Communicant, Autonomous, and Human-Driven Vehicles

In this research, the authors first develop a macroscopic analytical model to reveal a paradox: dedicating exclusive lanes to new-technology-equipped vehicles and automating highways in interregional corridors (connecting suburban areas to urban regions) can result in worsening traffic conditions inside an urban region over peaks. To minimize the experienced delay in the integrated system of highways and the network, the authors present a design problem for the optimal number of lanes for the following types of facilities in the interregional corridors: (1) automated highway system (AHS), exclusively provided for the vehicles equipped with cooperative adaptive cruise control (CACC) technology, i.e., communicant autonomous vehicles (CAVs), (2) high performance lane (HPL), dedicated to vehicles with adaptive cruise control (ACC) technology, i.e., autonomous vehicles (AVs) and CAVs, and (3) conventional lane (CVL), accessible to vehicles with any level of automation technology, i.e., human-driven vehicles (HVs), AVs, and CAVs. The authors also develop a dynamic platoon control system (PCS) for CAVs in the AHS to keep the inflow of the network optimized over time. The results of the San Francisco case study presented in this paper show that a rise in the penetration rate of new technologies can result in a delay reduction of 78% in the highways, which leads to an increase of the delay in the downtown network by 5%, even when the system is optimally designed and controlled. In general, it can be concluded that a rise in the penetration rate of new technologies can have significant positive effects on the overall condition of the integrated system.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee AHB15 Standing Committee on Intelligent Transportation Systems.
  • Corporate Authors:

    Transportation Research Board

  • Authors:
    • Amirgholy, Mahyar
    • Shahabi, Mehrdad
    • Gao, H Oliver
  • Conference:
  • Date: 2019


  • English

Media Info

  • Media Type: Digital/other
  • Features: Tables;
  • Pagination: 6p

Subject/Index Terms

Filing Info

  • Accession Number: 01698356
  • Record Type: Publication
  • Report/Paper Numbers: 19-00810
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 7 2018 9:53AM