A refined cellular automaton model to rectify impractical vehicular movement behavior

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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

31 Scopus citations

Abstract

When implementing cellular automata (CA) into a traffic simulation, one common defect yet to be rectified is the abrupt deceleration when vehicles encounter stationary obstacles or traffic jams. To be more in line with real world vehicular movement, this paper proposes a piecewise-linear movement to replace the conventional particle-hopping movement adopted in most previous CA models. Upon this adjustment and coupled with refined cell system, a new CA model is developed using the rationale of Forbes' et al. car-following concept. The proposed CA model is validated on a two-lane freeway mainline context. It shows that this model can fix the unrealistic deceleration behaviors, and thus can reflect genuine driver behavior in the real world. The model is also capable of revealing Kerner's three-phase traffic patterns and phase transitions among them. Furthermore, the proposed CA model is applied to simulate a highway work zone wherein traffic efficiency (maximum flow rates) and safety (speed deviations) impacted by various control schemes are tested.

Original languageAmerican English
Pages (from-to)3917-3930
Number of pages14
JournalPhysica A: Statistical Mechanics and its Applications
Volume388
Issue number18
DOIs
StatePublished - 15 Sep 2009

Keywords

  • Cellular automaton
  • Limited deceleration
  • Piecewise-linear movement
  • Refined cell
  • Traffic flow

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