Analysis of left-turn lane capacity under autonomous vehicle mixed flow considering the influence of pedestrian volume and crosswalk length

Xin Zhang, Yifei Wang, Hideki Nakamura, Kaixin Liu
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Abstract

Conflicts between pedestrians and left-turning vehicles cause pedestrian safety hazards and decrease vehicle turning capacity at signalized intersections. This commonly occurs in Japan where they share the same traffic light phase. Road capacity is influenced by the interaction between them. Autonomous vehicles (AVs) promise to improve the safety and efficiency of road networks. However, they will face the same problems as human-driven vehicles with pedestrian avoidance. Thus, this study estimated the capacity of the left-turn lane, in Japan, under AV mixed flows taking into account AV penetration rates, pedestrian flow rates, and crosswalk length. The impact of AVs on capacity was analyzed with different settings for the critical gap between vehicles and pedestrians. It was found that if AVs comply perfectly with traffic law, the capacity of the left-turn lane sharply decreases, especially in the case of long crosswalks.

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考虑行人量和人行横道长度影响的自动车辆混合流左转弯车道容量分析
在信号交叉口,行人与左转车辆发生冲突会造成行人安全隐患,降低车辆的转弯能力。这种情况在日本很常见,因为它们共用同一个红绿灯阶段。道路通行能力受二者相互作用的影响。自动驾驶汽车有望提高道路网络的安全性和效率。然而,它们将面临与人类驾驶的车辆一样的问题。因此,本研究在考虑自动驾驶汽车普及率、行人流量和人行横道长度的情况下,估计了日本自动驾驶汽车混合流量下的左转车道容量。在车辆与行人的临界距离设置不同的情况下,分析了自动驾驶汽车对通行能力的影响。研究发现,如果自动驾驶汽车完全遵守交通法规,左转弯车道的通行能力会急剧下降,特别是在长人行横道的情况下。
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