A speed guidance strategy for multiple signalized intersections based on car-following model

  • Tie Qiao Tang
  • , Zhi Yan Yi
  • , Jian Zhang
  • , Tao Wang
  • , Jun Qiang Leng*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Signalized intersection has great roles in urban traffic system. The signal infrastructure and the driving behavior near the intersection are paramount factors that have significant impacts on traffic flow and energy consumption. In this paper, a speed guidance strategy is introduced into a car-following model to study the driving behavior and the fuel consumption in a single-lane road with multiple signalized intersections. The numerical results indicate that the proposed model can reduce the fuel consumption and the average stop times. The findings provide insightful guidance for the eco-driving strategies near the signalized intersections.

Original languageEnglish
Pages (from-to)399-409
Number of pages11
JournalPhysica A: Statistical Mechanics and its Applications
Volume496
DOIs
StatePublished - 15 Apr 2018

UN SDGs

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

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • Car-following model
  • Fuel consumption
  • Multiple signalized intersections
  • Speed guidance strategy

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