For most signalized at-grade intersections, exclusive lanes for non-motorized vehicles have been applied to improve the level of service, capacity and safety of both motorized vehicles and non-motorized vehicles. However, because of various factors, riders of non-motorized vehicles have been observed using lanes for motorized vehicles instead of lanes for non-motorized vehicles, which usually negatively influences the performance of signalized intersections and sometimes may cause serious problems such as traffic congestion and accidents. The objective of this paper is to explore factors influencing the lane choice of riders of non-motorized vehicles at exit legs of signalized at-grade intersections and develop a prediction model for riders’ lane choice. Data concerning the lane choice of riders of non-motorized vehicles and other impacting factors were collected at exit legs of four typical signalized at-grade intersections. Applying binary logistic regression, a probability prediction model was developed to explain how various factors influence the lane choice of riders of non-motorized vehicles. The prediction model indicates that female riders of non-motorized vehicles have a higher probability of choosing the lane for non-motorized vehicles than male riders. Compared with riders of non-motorized vehicles powered by electricity, riders of traditional man-powered bicycles are more likely to choose the lane for non-motorized vehicles. Right-turning riders of non-motorized vehicles are more likely to choose the lane for non-motorized vehicles than straight-going riders, who in turn, are more likely to choose the lane for non-motorized vehicles than left-turning riders. Decreasing the volume of non-motorized vehicles, increasing the volume of motorized vehicles, and widening the lane for non-motorized vehicles will increase the probability of the correct choice of lane for non-motorized vehicles. The predictions of the model are in good agreement with the observed facts. The model is meaningful for guidance on the design and management of signalized at-grade intersections.

中文翻译：

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非机动车道口信号交叉口出口段车道选择影响因素探讨

大部分信号交叉口均实行非机动车专用车道，提高机动车和非机动车的服务水平、通行能力和安全性。然而，由于种种因素，非机动车驾驶人被观察到使用机动车车道而不是非机动车车道，这通常对信号交叉口的性能产生负面影响，有时还可能造成交通拥堵和交通拥堵等严重问题。事故。本文的目的是探索影响非机动车驾驶人在信号交叉口出口处车道选择的因素，并开发一个用于驾驶人车道选择的预测模型。在四个典型的信号交叉口出口段收集了非机动车乘员车道选择及其他影响因素的数据。应用二元逻辑回归，开发了概率预测模型来解释各种因素如何影响非机动车辆骑手的车道选择。预测模型表明，非机动车女性乘客选择非机动车车道的概率高于男性乘客。与使用电力驱动的非机动车辆的骑手相比，传统人力自行车的骑手更倾向于选择非机动车辆的车道。非机动车右转骑行者比直行骑行者更有可能选择非机动车车道，而直行骑行者反过来，与左转车手相比，他们更有可能为非机动车选择车道。减少非机动车保有量，增加机动车保有量，拓宽非机动车车道，将增加非机动车正确选择车道的概率。模型的预测与观察到的事实非常吻合。该模型对于指导信号交叉口的设计和管理具有重要意义。模型的预测与观察到的事实非常吻合。该模型对于指导信号交叉口的设计和管理具有重要意义。模型的预测与观察到的事实非常吻合。该模型对于指导信号交叉口的设计和管理具有重要意义。