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Event-Based Modeling of Driver Yielding Behavior to Pedestrians at Two-Lane Roundabout Approaches

机译:基于事件的两车道回旋处驾驶员行人屈服行为的建模

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Unlike other types of controlled intersections, drivers do not always comply with the “yield to pedestrian”sign at the roundabouts. This paper aims to identify the contributing factors affecting the likelihood ofdriver yielding to pedestrians at two-lane roundabouts. It further models the likelihood of driver yieldingbased on these factors using logistic regression. The models have been applied to 1150 controlledpedestrian crossings at entry and exit legs of two-lane approaches of six roundabouts across the country.The logistic regression models developed support prior research that the likelihood of driver yielding at theentry leg of roundabouts is higher than at the exit. Drivers tend to yield to pedestrians carrying a white canemore often than to sighted pedestrians. Drivers traveling in the far lane, relative to pedestrian location, havea lower probability of yielding to a pedestrian. As the speed increases the probability of driver yieldingdecreases. At the exit leg of the roundabout, drivers turning right from the adjacent lane have a lowerpropensity of yielding than drivers coming from other directions. The findings of this paper further suggestthat although there has been much debate on pedestrian right-of-way laws and distinction betweenpedestrian waiting positions (in the street versus at the curb), this factor does not have a significant impacton driver yielding rate.The logistic regression models also quantify the effect of each of these factors on propensity of driveryielding. The models include variables which are specific to each study location and explain the impact sizeof each study location on probability of yielding. The models generated in this research will be useful totransportation professionals and researchers interested in understanding the factors that impact driveryielding at modern roundabouts. The results of the research can be used to isolate factors that may increaseyielding (such as lower roundabout approach speeds), and can feasibly be incorporated intomicrosimulation algorithms to model driver yielding at roundabouts.
机译:与其他类型的受控交叉路口不同,驾驶员并不总是遵守“行人收益率” 在回旋处签名。本文旨在确定影响因素的可能性的影响因素。 司机在两车道回旋处屈服于行人。它进一步模拟了驾驶员屈服的可能性 基于这些因素的逻辑回归。该模型已应用于1150个受控 全国六个回旋处的两车道进出通道的人行横道。 所开发的逻辑回归模型支持先前的研究,即驾驶员屈服的可能性 回旋处的入口处要比出口处高。司机倾向于屈服于拿着白甘蔗的行人 比看见的行人更多。相对于行人位置,在较远车道上行驶的驾驶员有 屈服于行人的可能性较低。随着速度增加,驾驶员屈服的可能性 减少。在回旋处的出口处,从相邻车道向右转的驾驶员有一个较低的 收益的倾向要比来自其他方向的驱动力高。本文的发现进一步表明 尽管关于行人通行权法律及其区别的争论很多 行人等待位置(在街道还是路边),这个因素不会产生重大影响 对驱动器的屈服率。 逻辑回归模型还量化了每个因素对驾驶员倾向的影响 屈服。这些模型包括特定于每个研究地点的变量,并解释了影响大小 每个研究位置对产量概率的影响。这项研究产生的模型将对 有兴趣了解影响驾驶员的运输专业人员和研究人员 在现代回旋处屈服。研究结果可用于分离可能增加的因素 屈服(例如较低的回旋处进近速度),并且可以合并到 微观模拟算法来模拟驾驶员在回旋处的屈服。

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