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Cooperative driving strategies of connected vehicles for stabilizing traffic flow

  • Dong Fan Xie
  • , Yong Qi Wen
  • , Xiao Mei Zhao
  • , Xin Gang Li
  • , Zhengbing He*
  • *Corresponding author for this work

Research output: Journal PublicationArticlepeer-review

33 Citations (Scopus)

Abstract

It is foreseeable that connected vehicles (CVs) and regular vehicles (RVs) will be operated together on roads in the upcoming decades. The appearance of CVs provides us an opportunity to improve traffic efficiency by guiding drivers to properly steer their CVs. To take advantage of this opportunity, this paper proposes two cooperative driving strategies for CVs that move in heterogeneous RV and CV traffic, namely, CDS-L and CDS-G. CDS-L is a local strategy that considers only the traffic surrounding the subject CVs. CDS-G is a global strategy that considers the conditions of all CVs on a road. The basis of the strategies is to incorporate the spatial and temporal averages of the driving status of surrounding CVs. A parameter that is a function of the traffic density is introduced to balance traffic efficiency and fluctuations. Simulation results demonstrate that the proposed strategies well suppress traffic fluctuations and thus promote traffic efficiency. The proposed strategies are dedicated to traffic congestion mitigation by using low-level configuration CVs.

Original languageEnglish
Pages (from-to)166-181
Number of pages16
JournalTransportmetrica B
Volume8
Issue number1
DOIs
Publication statusPublished - 2 Jan 2020
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Free Keywords

  • Car-following model
  • communication delay
  • heterogeneous traffic
  • traffic efficiency
  • traffic simulation

ASJC Scopus subject areas

  • Software
  • Modelling and Simulation
  • Transportation

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