A refined cellular automaton model to rectify impractical vehicular movement behavior

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


研究成果: Article同行評審

31 引文 斯高帕斯(Scopus)


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.

原文American English
頁(從 - 到)3917-3930
期刊Physica A: Statistical Mechanics and its Applications
出版狀態Published - 15 九月 2009


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