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A Reliability-Based Analysis of Bicyclist Red-Light Running Behavior at Urban Intersections

机译：基于可靠性的城市交叉口单车红灯行驶行为分析

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This paper describes the red-light running behavior of bicyclists at urban intersections based on reliability analysis approach. Bicyclists' crossing behavior was collected by video recording. Four proportional hazard models by the Cox, exponential, Weibull, and Gompertz distributions were proposed to analyze the covariate effects on safety crossing reliability. The influential variables include personal characteristics, movement information, and situation factors. The results indicate that the Cox hazard model gives the best description of bicyclists' red-light running behavior. Bicyclists' safety crossing reliabilities decrease as their waiting times increase. There are about 15.5% of bicyclists with negligible waiting times, who are at high risk of red-light running and very low safety crossing reliabilities. The proposed reliability models can capture the covariates' effects on bicyclists' crossing behavior at signalized intersections. Both personal characteristics and traffic conditions have significant effects on bicyclists' safety crossing reliability. A bicyclist is more likely to have low safety crossing reliability and high violation risk when more riders are crossing against the red light, and they wait closer to the motorized lane. These findings provide valuable insights in understanding bicyclists' violation behavior; and their implications in assessing bicyclists' safety crossing reliability were discussed.
机译：本文基于可靠性分析方法，描述了自行车骑行者在城市交叉口的红灯行驶行为。通过视频记录收集了骑车人的过路行为。提出了四个由Cox，指数，Weibull和Gompertz分布构成的比例风险模型，以分析协变量对安全穿越可靠性的影响。影响变量包括个人特征，运动信息和情况因素。结果表明，考克斯危险模型可以最好地描述骑车人的红灯行驶行为。骑车人的安全穿越可靠性随着等待时间的增加而降低。大约15.5％的骑自行车者的等待时间可以忽略不计，他们有红灯行驶的风险很高，而且安全过境的可靠性很低。提出的可靠性模型可以捕获协变量对信号交叉口对骑自行车者的交叉行为的影响。个人特征和交通状况都对骑自行车者的安全过境可靠性产生重大影响。当更多的骑车人越过红灯时，骑自行车的人越有可能越过安全过境可靠性低和违规风险高，并且他们等待靠近机动车道的情况。这些发现为理解骑车人的违规行为提供了宝贵的见解。讨论了它们在评估骑车人安全穿越安全性方面的意义。

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