Effects of comprehensive information of the nearest following vehicle on traffic flow instability

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

Research output: Contribution to journalArticlepeer-review

Abstract

Based on the condition of inhibiting traffic flow instability, this paper studies the effects of comprehensive information of the nearest following vehicle obtained by drivers' rear view behavior on traffic flow instability. Research shows that in the real practice the probability of paying attention to the information of the preceding vehicle is greater than that of paying attention to the information of the following vehicle, and the drivers' sensitive coefficient is assumed to be greater than 0, many conclusions such as the following can be obtained: 1) the information of the nearest following vehicle headway may reduce traffic flow instability, and the larger the attention probability, the smaller the traffic flow instability; on the contrary, the information of the velocity difference between the vehicle and the nearest following vehicle may increase the traffic flow instability, so the larger the attention probability, the bigger the traffic flow instability; 2) the instability reduction effect due to the comprehensive information from the nearest following vehicle is greater than the increasing effect on the traffic flow instability; 3) the bigger the driver's sensitive coefficient of the distance difference, the bigger the reducing effect of the information of the nearest following vehicle on traffic flow instability; 4) the bigger the driver's sensitive coefficient of the velocity difference, the bigger the increasing effect of the information of the nearest following vehicle on traffic flow instability.

Original languageEnglish
Article number218901
JournalWuli Xuebao/Acta Physica Sinica
Volume63
Issue number21
DOIs
StatePublished - 5 Nov 2014

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

  • The car-following model
  • The comprehensive information of the nearest following vehicle
  • Traffic congestion
  • Traffic flow instability

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