多源信息约束下的路径选择模型与算法

发布时间：2018-08-31 18:30

【摘要】：针对交通诱导管理措施的制定常缺乏理论支持的问题,提出信息约束机理作用下的时变路径选择行为研究方法。从人的知觉角度出发基于模糊聚类算法深入解析了多源交通信息(MSTI)的约束规律,借助VISSIM软件模拟路网环境并构建交通状态模式识别模型模拟信息约束下出行者的心理活动。采用意向(SP)调查法获取驾驶员在路网中的路径选择决策数据,并利用Biogeme软件对行为数据建模。结果表明,当偏好路径拥挤不严重时,信息很难对行为产生约束,出行者更倾向于坚持偏好路径;但随着偏好路径拥挤加剧,在信息影响下路径变更行为渐趋频繁,相应的信息对行为的约束也逐渐增强。研究结论为信息环境下出行者的不完全理性行为研究提供了思路及借鉴,并可为交通管理部门提供决策支持。
[Abstract]:In view of the lack of theoretical support for the formulation of traffic guidance management measures, a study method of time-varying path selection behavior under the action of information constraint mechanism is proposed. From the point of view of human perception, the constraint law of multi-source traffic information (MSTI) is analyzed deeply based on fuzzy clustering algorithm, and the traffic state pattern recognition model is constructed to simulate the psychological activities of travelers under information constraints by means of VISSIM software. The path selection decision data of drivers in the road network are obtained by means of intentional (SP) survey, and the behavior data are modeled by Biogeme software. The results show that when the preference path congestion is not serious, it is difficult to restrict the behavior of the information, and the travelers tend to stick to the preference path, but with the increase of preference path congestion, the path change behavior becomes more and more frequent under the influence of information. The corresponding information restricts the behavior gradually. The conclusion of the study provides the train of thought and reference for the study of incomplete rational behavior of travelers under the information environment, and can provide decision support for traffic management departments.
【作者单位】：西南交通大学交通运输与物流学院;西南交通大学经济管理学院;沈阳化工大学科亚学院;
【基金】：国家自然科学基金资助项目(50908196) 中央高校基本科研业务费专项资金(SWJTU09ZT18) 四川省学术和技术带头人培养资金项目(川人办发[2008]24号)
【分类号】：U491;U495

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