{"title":"在联网驾驶和骑车模拟器中观察骑车滚动停车导致的与安全相关的驾驶员和骑车人行为","authors":"","doi":"10.1016/j.trc.2024.104754","DOIUrl":null,"url":null,"abstract":"<div><p>Bicycle Rolling Stop (BRS) laws refer to legislation that allows bicyclists to treat stop signs as yield signs. Many states have passed statutes or attempted to pass similar statutes with varying permissive actions for bicyclists in response to stop signs. Previous research has focused on crash data analysis and motivating factors of bicyclists performing a rolling stop when illegal under prevailing law. However, there is still no available research that evaluates the efficacy of BRS laws or analyzes the effect of BRS in states where it is permitted. To that end, this research used a networked driving and bicycling simulator experiment to evaluate drivers and bicyclists understanding of the BRS law. Sixty participants successfully completed a networked simulator experiment where a “live interaction” occurred at a stop-controlled intersection between a participant in the driving simulator and a participant in the bicycling simulator. Participants encountered 16 scenarios while riding or driving in the simulators. Time-space diagrams demonstrated that after receiving education related to the BRS law, bicyclists preferred to yield at stop signs and had a higher average speed through intersections. Driving participants’ trajectories showed that drivers approached intersections either slower or at a similar speed after education of the BRS law. Live interactions in the networked simulators validated results where bicycling participants interacted with virtually controlled passenger cars. The results from this method concluded that more outreach is needed with regard to BRS laws, and this research provides decision-makers with information to support future legislative policies, program educational initiatives, and design enforcement practices regarding BRS laws.</p></div>","PeriodicalId":54417,"journal":{"name":"Transportation Research Part C-Emerging Technologies","volume":null,"pages":null},"PeriodicalIF":7.6000,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Safety relevant driver and bicyclist behaviors resulting from bicycling rolling stops observed in a networked driving and bicycling simulator\",\"authors\":\"\",\"doi\":\"10.1016/j.trc.2024.104754\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Bicycle Rolling Stop (BRS) laws refer to legislation that allows bicyclists to treat stop signs as yield signs. Many states have passed statutes or attempted to pass similar statutes with varying permissive actions for bicyclists in response to stop signs. Previous research has focused on crash data analysis and motivating factors of bicyclists performing a rolling stop when illegal under prevailing law. However, there is still no available research that evaluates the efficacy of BRS laws or analyzes the effect of BRS in states where it is permitted. To that end, this research used a networked driving and bicycling simulator experiment to evaluate drivers and bicyclists understanding of the BRS law. Sixty participants successfully completed a networked simulator experiment where a “live interaction” occurred at a stop-controlled intersection between a participant in the driving simulator and a participant in the bicycling simulator. Participants encountered 16 scenarios while riding or driving in the simulators. Time-space diagrams demonstrated that after receiving education related to the BRS law, bicyclists preferred to yield at stop signs and had a higher average speed through intersections. Driving participants’ trajectories showed that drivers approached intersections either slower or at a similar speed after education of the BRS law. Live interactions in the networked simulators validated results where bicycling participants interacted with virtually controlled passenger cars. The results from this method concluded that more outreach is needed with regard to BRS laws, and this research provides decision-makers with information to support future legislative policies, program educational initiatives, and design enforcement practices regarding BRS laws.</p></div>\",\"PeriodicalId\":54417,\"journal\":{\"name\":\"Transportation Research Part C-Emerging Technologies\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":7.6000,\"publicationDate\":\"2024-07-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transportation Research Part C-Emerging Technologies\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0968090X24002754\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"TRANSPORTATION SCIENCE & TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part C-Emerging Technologies","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0968090X24002754","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"TRANSPORTATION SCIENCE & TECHNOLOGY","Score":null,"Total":0}
Safety relevant driver and bicyclist behaviors resulting from bicycling rolling stops observed in a networked driving and bicycling simulator
Bicycle Rolling Stop (BRS) laws refer to legislation that allows bicyclists to treat stop signs as yield signs. Many states have passed statutes or attempted to pass similar statutes with varying permissive actions for bicyclists in response to stop signs. Previous research has focused on crash data analysis and motivating factors of bicyclists performing a rolling stop when illegal under prevailing law. However, there is still no available research that evaluates the efficacy of BRS laws or analyzes the effect of BRS in states where it is permitted. To that end, this research used a networked driving and bicycling simulator experiment to evaluate drivers and bicyclists understanding of the BRS law. Sixty participants successfully completed a networked simulator experiment where a “live interaction” occurred at a stop-controlled intersection between a participant in the driving simulator and a participant in the bicycling simulator. Participants encountered 16 scenarios while riding or driving in the simulators. Time-space diagrams demonstrated that after receiving education related to the BRS law, bicyclists preferred to yield at stop signs and had a higher average speed through intersections. Driving participants’ trajectories showed that drivers approached intersections either slower or at a similar speed after education of the BRS law. Live interactions in the networked simulators validated results where bicycling participants interacted with virtually controlled passenger cars. The results from this method concluded that more outreach is needed with regard to BRS laws, and this research provides decision-makers with information to support future legislative policies, program educational initiatives, and design enforcement practices regarding BRS laws.
期刊介绍:
Transportation Research: Part C (TR_C) is dedicated to showcasing high-quality, scholarly research that delves into the development, applications, and implications of transportation systems and emerging technologies. Our focus lies not solely on individual technologies, but rather on their broader implications for the planning, design, operation, control, maintenance, and rehabilitation of transportation systems, services, and components. In essence, the intellectual core of the journal revolves around the transportation aspect rather than the technology itself. We actively encourage the integration of quantitative methods from diverse fields such as operations research, control systems, complex networks, computer science, and artificial intelligence. Join us in exploring the intersection of transportation systems and emerging technologies to drive innovation and progress in the field.