基于骑车者行为的无信号交叉口自行车线路规划模型

Behavioral-analysis-based cyclists’ path-planning model in mixed traffic unsignalized intersections

中文关键词  线路规划  模糊逻辑  自行车  交通流仿真  行为模型  混杂交通流  无信号交叉口

英文关键词  path planning  fuzzy logic  bicycle  traffic flow simulation  behavioral model  mixed traffic flow  unsignalized intersection

中文摘要

      自行车是一种人力驱动, 相对低速、灵活的交通工具, 它的行驶线路与基于车道行驶的机动车截然不同. 通过对混杂交通流中冲突最集中的无信号交叉口中的骑车者行为分析, 提出了基于模糊逻辑的自行车线路规划模型. 首先通过分析骑车者的行为, 提出了模糊逻辑的方法和模型框架, 并对各个子模型进行建模, 然后采集实际数据(问卷调查和视频数据)对模型进行参数校验和验证, 仿真验证和误差分析结果表明该模型的可靠性和有效性. 模 型既可为微观混杂交通流计算机仿真模型提供理论基础, 也可应用于个人机动车(PMV)的智能线路规划模型方面.

英文摘要

      Bicycle is a man-powered, relatively low speed, agile and vulnerable traffic tool, its moving trajectory is quite different from that of a motorcar. By analyzing the cyclist’s behaviors at unsignalized intersections in mixed traffic flow situations (where most conflicts exist among motorcars, non-motor vehicles and pedestrians), we build a path-planning model for the cyclists based on the fuzzy logic. First, by analyzing the cyclist’s behaviors in road-crossing, we propose a fuzzylogic-based model framework for building various sub-models; and then, perform the model calibration and validation, using field data collected from surveying to electronic surveillance ecording . The simulation results are promising, suggesting that this model may be adopted for mixed traffic-flow simulation or as a path-planning model for personal mobility vehicles(PMVs).