Cellular automaton simulations for mixed traffic with erratic motorcycles' behaviours

Lawrence W. Lan, Yu-Chiun Chiou*, Zih Shin Lin, Chih Cheng Hsu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

47 Scopus citations

Abstract

Modeling mixed traffic composed of motorcycles can be a challenging issue because many erratic motorcyclists may not follow the lane disciplines, particularly when traffic is congested. Based upon the refined cellular automaton (CA) model recently developed by the authors [L.W. Lan, Y.C. Chiou, Z.S. Lin, C.C. Hsu, Physica A 388 (2009) 3917-3930], this paper further proposed a sophisticated CA model to elucidate the erratic motorcycle behaviours in mixed traffic contexts. In addition to the conventional moving forward and lane-change rules, the sophisticated CA model also explicated the lateral drift behaviour for cars moving in the same lane, the lateral drift behaviour for motorcycles breaking into two moving cars, and the transverse crossing behaviour for motorcycles through the gap between two stationary cars in the same lane. Fundamental diagrams and space-time trajectories for vehicles with various car-motorcycle mixed ratios are demonstrated.

Original languageEnglish
Pages (from-to)2077-2089
Number of pages13
JournalPhysica A: Statistical Mechanics and its Applications
Volume389
Issue number10
DOIs
StatePublished - 15 May 2010

Keywords

  • Cellular automaton
  • Mixed traffic
  • Motorcycle

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