Xu Chen , Zihao Xi , Yan Xu , Zhuozhi Xiong , Xuelin Ding , Hao Wang
{"title":"Balancing safety and efficiency for autonomous vehicles at urban uncontrolled crosswalk: challenges and countermeasures","authors":"Xu Chen , Zihao Xi , Yan Xu , Zhuozhi Xiong , Xuelin Ding , Hao Wang","doi":"10.1016/j.aap.2025.108111","DOIUrl":null,"url":null,"abstract":"<div><div>At uncontrolled crosswalks, defensive autonomous vehicles (DAVs) prioritize yielding to pedestrians but may exacerbate congestion. Interactive autonomous vehicles (IAVs) attempt to prioritize pedestrian passage under safe conditions; however, they demand more advanced technology, and their practical application remains uncertain. Platoon control presents a potential solution to mitigate the limitations of both driving styles. This study develops an agent-based pedestrian-vehicle interaction framework and introduces a platoon formation module that accounts for passenger comfort. The study examines the impact of combining driving styles (DAV and IAV) and the platoon control method on the safety and efficiency of pedestrian-AV interactions. Results indicate that compared to DAV, IAV increases interaction events by 32.2%, yet achieves a yielding compliance rate of only 40% while reducing total delays by 60.7%. Platoon control effectively enhances the safety and efficiency of both driving styles, with its benefits becoming more pronounced as pedestrian and vehicle traffic volumes increase. This study provides methodologies and strategies to address the challenges of integrating AVs into urban environments.</div></div>","PeriodicalId":6926,"journal":{"name":"Accident; analysis and prevention","volume":"220 ","pages":"Article 108111"},"PeriodicalIF":5.7000,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accident; analysis and prevention","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0001457525001976","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ERGONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
At uncontrolled crosswalks, defensive autonomous vehicles (DAVs) prioritize yielding to pedestrians but may exacerbate congestion. Interactive autonomous vehicles (IAVs) attempt to prioritize pedestrian passage under safe conditions; however, they demand more advanced technology, and their practical application remains uncertain. Platoon control presents a potential solution to mitigate the limitations of both driving styles. This study develops an agent-based pedestrian-vehicle interaction framework and introduces a platoon formation module that accounts for passenger comfort. The study examines the impact of combining driving styles (DAV and IAV) and the platoon control method on the safety and efficiency of pedestrian-AV interactions. Results indicate that compared to DAV, IAV increases interaction events by 32.2%, yet achieves a yielding compliance rate of only 40% while reducing total delays by 60.7%. Platoon control effectively enhances the safety and efficiency of both driving styles, with its benefits becoming more pronounced as pedestrian and vehicle traffic volumes increase. This study provides methodologies and strategies to address the challenges of integrating AVs into urban environments.
期刊介绍:
Accident Analysis & Prevention provides wide coverage of the general areas relating to accidental injury and damage, including the pre-injury and immediate post-injury phases. Published papers deal with medical, legal, economic, educational, behavioral, theoretical or empirical aspects of transportation accidents, as well as with accidents at other sites. Selected topics within the scope of the Journal may include: studies of human, environmental and vehicular factors influencing the occurrence, type and severity of accidents and injury; the design, implementation and evaluation of countermeasures; biomechanics of impact and human tolerance limits to injury; modelling and statistical analysis of accident data; policy, planning and decision-making in safety.