Interactions between autonomous vehicles and pedestrians at unsignalized mid-block crosswalks considering occlusions by opposing vehicles

Hong Zhu; Miho Iryo-Asano; Wael K M Alhajyaseen; Hideki Nakamura; Charitha Dias

doi:10.1016/j.aap.2021.106468

Interactions between autonomous vehicles and pedestrians at unsignalized mid-block crosswalks considering occlusions by opposing vehicles

Accid Anal Prev. 2021 Dec:163:106468. doi: 10.1016/j.aap.2021.106468. Epub 2021 Nov 10.

Authors

Hong Zhu¹, Miho Iryo-Asano², Wael K M Alhajyaseen³, Hideki Nakamura⁴, Charitha Dias⁵

Affiliations

¹ Department of Environmental Engineering and Architecture, Graduate School of Environmental Studies, Nagoya University, Nagoya 464-8603, Japan. Electronic address: zhu.hong@a.mbox.nagoya-u.ac.jp.
² Department of Environmental Engineering and Architecture, Graduate School of Environmental Studies, Nagoya University, Nagoya 464-8603, Japan. Electronic address: iryo@nagoya-u.jp.
³ Qatar Transportation and Traffic Safety Center, College of Engineering, Qatar University, P.O.Box 2713, Doha, Qatar; Department of Civil & Architectural Engineering, College of Engineering, Qatar University, P.O.Box 2713, Doha, Qatar. Electronic address: wyaseen@qu.edu.qa.
⁴ Department of Environmental Engineering and Architecture, Graduate School of Environmental Studies, Nagoya University, Nagoya 464-8603, Japan. Electronic address: nakamura@genv.nagoya-u.ac.jp.
⁵ Qatar Transportation and Traffic Safety Center, College of Engineering, Qatar University, P.O.Box 2713, Doha, Qatar; Department of Civil & Architectural Engineering, College of Engineering, Qatar University, P.O.Box 2713, Doha, Qatar. Electronic address: cdias@qu.edu.qa.

PMID: 34773785
DOI: 10.1016/j.aap.2021.106468

Abstract

Visibility can be identified as one of the critical determinants for the safety performance of autonomous vehicles (AVs) on unsignalized mid-block crosswalks (UMC), which may be significantly influenced by build-up environment and surrounding vehicles. This study investigates the safety performance when AVs interact with pedestrians approaching from far-side sidewalks to UMCs considering the visual occlusion of opposing vehicles. A mathematical model is proposed for judging the visibilities of objects from observers' location under the impact of visual obstacles and is embedded into an agent-based pedestrian-vehicle interaction framework. Two yielding decision modules is assumed for AVs: The normal decision module implements the pedestrian priority rule simply based on the current detectable information, whereas the memory aid decision module extends AVs' detection abilities by incorporating the memory data. Through simulation experiments, it is found that the percentages of short post encroachment time (%SPET) between AVs and far-side pedestrians reach peaks when the pedestrian flow rate is 300-400 ped/h. When opposing vehicles are in stationary queue conditions, %SPETs are only sensitive to the net distance between the last opposing vehicles in the queue and crosswalks (D_queue). As the D_queue decreases to lower than 15 m, %SPETs start to increase drastically. However, when opposing vehicles are in free flow conditions, %SPETs are influenced by multiple factors such as pedestrians' crossing decisions, sizes and flow rates of opposing vehicles. Furthermore, only when opposing vehicles are in free flow conditions, memory aid AVs can significantly eliminate the impacts of opposite vehicles. Finally, several countermeasures are developed to enhance the visibility and safety at UMCs based on the findings of this study.

Keywords: Autonomous vehicle; Pedestrian-vehicle interaction; Post encroachment time; Unsignalized mid-block crosswalks; Visibility.

MeSH terms

Accidents, Traffic / prevention & control
Humans
Models, Theoretical
Pedestrians*
Safety
Walking