Efficiency and Safety Evaluation of Left-turn Vehicles and Crossing Pedestrians in Signalized Intersections under the Autonomous Vehicle Mixed Flow Condition
Efficiency and Safety Evaluation of Left-turn Vehicles and Crossing Pedestrians in Signalized Intersections under the Autonomous Vehicle Mixed Flow Condition
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DOI：
10.1007/s13177-021-00276-z
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发表时间：
2021-09
影响因子：
2.1
通讯作者：
Ang Pan;Xin Zhang;Miho Iryo-Asano;Hideki Nakamura
中科院分区：
文献类型：
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作者：
Ang Pan;Xin Zhang;Miho Iryo-Asano;Hideki Nakamura
自动驾驶汽车（AVs）的现场试验已经在许多国家进行。然而，在现实案例中，自动驾驶混合流的效率评估和自动驾驶与行人冲突的安全性评估仍然有限。本研究旨在通过建立仿真模型，评估自动驾驶混合流条件下信号交叉口左转弯车辆和行人的效率和安全性。得到了入侵后时间（PET）和LT容量。此外，LT车辆的间隙/滞后接受行为和反应时间是影响效率和安全评估的关键参数。
Field experiments of autonomous vehicles (AVs) have been conducted in many countries. However, efficiency evaluation of AV mixed flow and safety evaluation of conflicts between AVs and pedestrians in the real-world case are still limited. This study aims at evaluating the efficiency and safety of left-turn (LT) vehicles and pedestrians in signalized intersections, under the condition of AV mixed flow, by developing a simulation model. Post Encroachment Time (PET) and LT capacity were obtained. Further, gap/lag acceptance behavior and reaction time of LT vehicles were found to be critical parameters that affect efficiency and safety evaluations.