Skip to main navigation Skip to search Skip to main content

Two-lane mixed traffic flow model considering lane changing

  • Han Tao Zhao
  • , Hao Zheng Li
  • , Hao Qin
  • , Lin Hui Zheng*
  • *Corresponding author for this work
  • Automotive Engineering College
  • School of Transportation Science and Engineering, Harbin Institute of Technology
  • Beijing General Municipal Engineering Design and Research Institute

Research output: Contribution to journalArticlepeer-review

Abstract

Based on the analysis of the advantages and disadvantages of the existing car-following model and combined with the actual road conditions, an improvement scheme is proposed for the selected model. The improvement plan adds the consideration of the speed difference between the front and rear vehicles, and introduces the safe distance parameter of the most dangerous situation when the vehicle is braking. The comparison with the actual measurement results after simulation and conversion shows that the improved car following model is effective and the vehicle lane change rules are improved. The improvement of lane changing rules allows different lane changing rules to be obtained in different situations. The lane-changing rules are coupled with the improved car-following model to obtain a two-lane model based on different rules. The corresponding programming simulation is compared with the measured road results to verify the practicability of the model. The simulation result shows that the new model can still reproduce the road traffic flow under different lane changing rules. After the introduction of mixed traffic, the model can reproduce the maximum flow of the road within the error tolerance.

Original languageEnglish
Article number101635
JournalJournal of Computational Science
Volume61
DOIs
StatePublished - May 2022
Externally publishedYes

Keywords

  • Cellular automaton
  • Lane-changing behavior
  • Mixed traffic
  • Programming simulation

Fingerprint

Dive into the research topics of 'Two-lane mixed traffic flow model considering lane changing'. Together they form a unique fingerprint.

Cite this