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New full velocity difference model considering the driver's heterogeneity of the disturbance risk preference for car-following theory

  • You Zhi Zeng*
  • , Ning Zhang
  • *Corresponding author for this work
  • Beihang University

Research output: Contribution to journalArticlepeer-review

Abstract

This paper proposes a new full velocity difference model considering the driver's heterogeneity of the disturbance risk preference for car-following theory to investigate the effects of the driver's heterogeneity of the disturbance risk preference on traffic flow instability when the driver reacts to the relative velocity. We obtain traffic flow instability condition and the calculation method of the unstable region headway range and the probability of traffic congestion caused by a small disturbance. The analysis shows that has important effects the driver's heterogeneity of the disturbance risk preference on traffic flow instability: (1) traffic flow instability is independent of the absolute size of the driver's disturbance risk preference coefficient and depends on the ratio of the preceding vehicle driver's disturbance risk preference coefficient to the following vehicle driver's disturbance risk preference coefficient; (2) the smaller the ratio of the preceding vehicle driver's disturbance risk preference coefficient to the following vehicle driver's disturbance risk preference coefficient, the smaller traffic flow instability and vice versa. It provides some viable ideas to suppress traffic congestion.

Original languageEnglish
Article number1550241
JournalInternational Journal of Modern Physics B
Volume30
Issue number1
DOIs
StatePublished - 10 Jan 2016

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

Keywords

  • Disturbance risk preference
  • Driver's heterogeneity
  • Full velocity difference car-following model
  • Traffic congestion
  • Traffic flow instability

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