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本文研究信号交叉口行人、自行车和电动车的间隙接受行为。通过拍摄录像获取相关数据,比较了不同交通方式的接受间隙,并用Logit回归建立了间隙接受模型。结果表明三者在近边的接受间隙都显著大于远边,三者之间的接受间隙无显著差异,但非机动车的违规率明显高于行人。主要原因是在有车冲突(有接受间隙)时三者的违规率无明显差异,而在无车冲突(无接受间隙)时非机动车的违规率显著高于行人。等待情况、可接受间隙值、间隙类型和冲突车辆的行为会显著影响间隙接受行为。本文的结果对理解违规群体的穿越行为及其建模有参考价值。
This paper studies the gap acceptance of pedestrians, bicycles and electric vehicles at signalized intersections. Relevant data were obtained by shooting video, the gap between different modes of transportation was compared, and the gap acceptance model was established by Logit regression. The results show that the three in the near side of the acceptance gap were significantly greater than the far side, the acceptance gap between the three no significant difference, but the violation rate of non-motor vehicles was significantly higher than pedestrians. The main reason for this is that there is no significant difference in violation rates between the three vehicles in the case of a car collision (with clearance accepted), while the non-motor vehicle violation rate is significantly higher than that of pedestrians in the absence of a car collision (no clearance accepted). Waiting conditions, acceptable gap values, gap types, and behavior of conflicting vehicles can significantly affect gap acceptance behavior. The results of this paper have reference value for understanding the traversal behavior and modeling of violating groups.