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原文传递 Exploring Evasive Action-Based Indicators for PTW Conflicts in Shared Traffic Facility Environments

题名：	Exploring Evasive Action-Based Indicators for PTW Conflicts in Shared Traffic Facility Environments
其他题名：	Autey,J.,T.Sayed,and H.M.Zak.2012."Safety evaluation of right-turn smart channels using automated traffic conflict analysis."Accid.Anal.Prev.45:120-130.https://doi.org/10.1016/j.aap.2011.11.015.
正文语种：	英文
作者：	Yanyong Guo
关键词：	environment；flic；traffic；evaluation；attention；measur；action；variation；analysis；ordered
摘要：	Surrogate safety measures such as traffic conflicts are gaining more and more attention for traffic safety analysis. The traffic conflict technique evaluates the frequency and severity of traffic conflicts at a location typically using various time proximity indicators such as the time-to-collision (TTC) and post-encroachment time (PET). However, growing concerns have been raised that time proximity indicators may not be effective measures for measuring conflict severity in less-organized traffic environments. In such environments, mixed road users are likely to share small spaces and take evasive action to prevent conflicts or collisions. The objective of this study was to examine and compare the time proximity (TTC) indicator and evasive action-based (yaw rate and jerk) indicators for evaluating the severity of powered two-wheeler (PTW) conflicts. PTW usage is growing in many developing countries such as China, and there has been concern about their impact on safety. Video data were collected at a middle block shared traffic street in Kunming, China. Traffic conflict analysis was conducted using automated video-based computer vision techniques. Ordered-response models were used to relate the conflict indicators to safety experts' evaluation of conflict severity. A random effect model was developed to account for the unobserved heterogeneity that affects conflict severity. As well, a random intercept model was developed to assess the effect of incorporating the variation in each expert evaluation. The results showed that the yaw rate ratio was efficient in measuring conflict severity for electric (e)-scooters, motorcycles, and bicycles. The TTC was an efficient indicator in measuring conflict severity for e-bikes and bicycles.
出版年：	2018
论文唯一标识：	P-72Y2018V144N11002
英文栏目名称：	TECHNICAL PAPERS
doi：	10.1061/JTEPBS.0000190
期刊名称：	Journal of Transportation Engineering
拼音刊名(出版物代码)：	P-72
卷：	144
期：	11
页码：	1-10