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A cellular automata (CA) model for motorized vehicle flows influenced by bicycles along the roadside

机译:元胞自动机(CA)模型用于机动车沿路边影响的机动车流量

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On many urban lowa??grade or branch roads, especially in medium or small cities in China, bicyclists and motorists commonly share the nona??barrier road surface. Because bicycles are unpredictable and unstable when moving, motorized vehicles must reduce their speed to safely approach and overtake them. In this study, the gradual deceleration process a motorized vehicle undergoes before it passes a bicycle was analyzed. The motorist was assumed to prefer a comfortable deceleration and to select a higher deceleration rate only when the distance to the bicycle was insufficient to reduce the car's speed to the expected value at a comfortable deceleration rate. Cellular automata (CA) simulations were used to reveal the flow characteristics of motorized vehicles reacting to bicycles traveling along the roadside, and the results show that for the general velocities of motorized vehicles and bicycles traveling on urban branch roads, the road capacity for motorized vehicles is not related to the number of bicycles present. However, the average travel time of motorized vehicles is significantly affected by the presence of bicycles when the number of motorized vehicles on the road is small. In addition, motorized vehicles' average travel time is more influenced by disturbances in the flow of motorized vehicles than by bicycles when the number of motorized vehicles on the road is large. Field observations and surveys were used to validate the traffic behaviors and simulation results. Copyright ?? 2016 John Wiley & Sons, Ltd.
机译:在许多城市的低等级或支路上,特别是在中国的中小城市,骑自行车的人和驾车者通常共用无障碍的路面。由于自行车在行驶时难以预测且不稳定,因此机动车辆必须降低其速度以安全地接近并超越它们。在这项研究中,分析了机动车在通过自行车之前经历的逐渐减速过程。假定驾驶者偏爱舒适的减速,并且仅在到自行车的距离不足以舒适的减速率将车速降低到期望值时才选择较高的减速率。运用元胞自动机(CA)模拟来揭示机动车辆对沿路行驶的自行车做出反应的流量特性,结果表明,对于机动车辆和在城市分支道路上行驶的自行车的总体速度,机动车辆的道路通行能力与目前的自行车数量无关。然而,当道路上的机动车辆数量少时,机动车辆的平均行驶时间会受到自行车的影响。另外,当道路上的机动车辆数量较大时,机动车辆的平均行驶时间受机动车辆流动的干扰的影响大于受自行车影响。现场观察和调查被用来验证交通行为和模拟结果。版权?? 2016 John Wiley&Sons,Ltd.

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