Studies of vehicle lane-changing to avoid pedestrians with cellular automata
Studies of vehicle lane-changing to avoid pedestrians with cellular automata
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DOI：
10.1016/j.physa.2015.06.028
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发表时间：
2015-11
影响因子：
3.3
通讯作者：
Xiang Li;Jian-Qiao Sun
中科院分区：
文献类型：
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作者：
Xiang Li;Jian-Qiao Sun
本文介绍了车辆与过路行人之间相互作用的研究。建立了交通元胞自动机系统模型，包括单车道车辆模型、行人模型、交互模型、换道模型等多个子系统模型。行人的随机街道交叉口被建模为泊松过程。过往车辆的司机应该遵守安全规则，以免撞到行人。给出了单车和多车模拟的结果。我们发现，一般来说，交通可以受益于车辆变道以避免横穿马路的行人。可以增加交通流量和平均车速，从而提高交通效率。车辆与行人之间的相互作用减少，从而缩短了车辆因行人而减速的时间，减少了驾驶模式的切换，从而带来更好的能源经济性。从车辆和行人的角度都可以提高交通安全。最后，行人可以更快地过马路。变道的负面影响是行人必须在人行横道的车道之间停留更长时间。
This paper presents studies of interactions between vehicles and crossing pedestrians. A cellular automata system model of the traffic is developed, which includes a number of subsystem models such as the single-lane vehicle model, pedestrian model, interaction model and lane-changing model. The random street crossings of pedestrians are modeled as a Poisson process. The drivers of the passing vehicles are assumed to follow a safety-rule in order not to hit the pedestrians. The results of both single and multiple car simulations are presented. We have found that in general, the traffic can benefit from vehicle lane-changing to avoid road-crossing pedestrians. The traffic flow and average vehicle speed can be increased, which leads to higher traffic efficiency. The interactions between vehicles and pedestrians are reduced, which results in shorter vehicle decelerating time due to pedestrians and less switches of the driving mode, thus leads to the better energy economy. The traffic safety can be improved in the perspective of both vehicles and pedestrians. Finally, pedestrians can cross road faster. The negative effect of lane-changing is that pedestrians have to stay longer between the lanes in the crossing.