Data-Driven Road Side Unit Location for Connected-Autonomous-Vehicle-Based Intersection Control

Low communication delay is crucial for the implementation of connected-autonomous-vehicle-based intersection control strategies. To achieve low vehicle-to-road-side-unit (V2R) communication delay and support the implementation of connected-autonomous-vehicle-based intersection control strategies, this study addresses the problem of Road Side Unit (RSU) location at a single intersection. The problem is formulated as a two-stage stochastic nonlinear integer program. The first stage model aims to minimize the total cost of RSU location, transmitted power selection and the expected penalty for communication delay exceeding a predetermined threshold. The goal of the second stage model is to minimize the penalty for communication delay exceeding the threshold given an specific intersection control strategy and a plan of RSU location and transmitted power selection. The model is linearized using the piecewise linearization technique. Then the L-shaped algorithm is proposed to find the global optimal solution to the linearized program. In the numerical example, the proposed model is evaluated under different intersection control strategies, penetration rates of vehicles equipped with communication device, costs of RSU location and costs of transmitted power selection. The results reveal that the proposed model effectively provides cost-effective low communication delay for V2R communication and supports the implementation of connected-autonomous-vehicle-based intersection control strategies.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee ABJ70 Standing Committee on Artificial Intelligence and Advanced Computing Applications.
  • Corporate Authors:

    Transportation Research Board

    ,    
  • Authors:
    • Liang, Yunyi
    • Wang, Yinhai
  • Conference:
  • Date: 2019

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 22p

Subject/Index Terms

Filing Info

  • Accession Number: 01697444
  • Record Type: Publication
  • Report/Paper Numbers: 19-01496
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 7 2018 9:27AM