无信号路段行人过街决策行为模型

以吉林市吉林大街2个路段过街行人为对象,以车辆间隙、相邻车道拥挤度为变量,通过视频观测获取行人过街决策行为数据,利用Binary Logit模型建模.结果发现:该模型预测准确率达到89%,可应用于无信号交叉口或者无信号路段行人和车辆交互微观仿真模型中.

Pedestrian Crossing Decision-Making Model at Unsignalized Mid-Block

The paper takes the two mid-blocks of Jilin Street with pedestrian crossing as examples,chooses time headway and the traffic congestion degree of its neighbor lane as variables. The data of pedestrian crossing decision-making behavior are collected by the video in the field. Binary Logit model is used to model pedestrian crossing decision-making behavior,and the results show that the forecast accuracy of the model reaches 89%. The developed Logit models can provide the basis for representing pedestrian crossing behavior at unsignalized mid-block or unsignalized intersection in a pedestrian-vehicle interaction microsimulation modeling.