Analysis of left-turn lane capacity under autonomous vehicle mixed flow considering the influence of pedestrian volume and crosswalk length
Analysis of left-turn lane capacity under autonomous vehicle mixed flow considering the influence of pedestrian volume and crosswalk length
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考虑行人流量和人行横道长度影响的自动驾驶车辆混流下左转车道通行能力分析
DOI：
10.1016/j.eastsj.2022.100070
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发表时间：
2022
影响因子：
--
通讯作者：
Liu Kaixin
中科院分区：
文献类型：
--
作者：
Zhang Xin;Wang Yifei;Nakamura Hideki;Liu Kaixin
信号交叉口行人与左转车辆的冲突会给行人安全带来隐患，并降低车辆的转向能力。这通常发生在日本，它们共享相同的交通灯相位。道路通行能力受它们之间相互作用的影响。自动驾驶汽车（AV）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相同的问题，避免行人。因此，本研究估计的容量的左转车道，在日本，根据AV混合流考虑到AV渗透率，行人流量和人行横道长度。在不同的车辆和行人之间的临界间隙设置的情况下，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规则，左转车道的通行能力急剧下降，特别是在长人行横道的情况下。
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.
自动驾驶车辆对信号交叉口性能的影响
DOI：
10.1061/jtepbs.0000297
发表时间：
2020
期刊：
--
影响因子：
--
作者：
Ecem Şentürk Berktaş;Serhan Tanyel
通讯作者：
Serhan Tanyel
考虑人行横道长度和行人信号计时的信号人行横道上的行人速度建模
影响因子：
--
作者：
Xin Zhang;Hideki Nakamura;Miho Iryo;Peng Chen
通讯作者：
Peng Chen
基于智能手机和网络摄像头的无标记系统，用于测量跑步机上的步长、宽度和持续时间
影响因子：
6.1
作者：
V. Barone;F. Verdini;L. Burattini;F. Nardo;S. Fioretti
通讯作者：
S. Fioretti