逐日路径演化中出行者信息偏好的实验分析

发布时间：2018-05-02 02:28

  本文选题：智能交通 + 信息偏好　； 参考：《交通运输系统工程与信息》2017年04期

【摘要】：在逐日出行过程中,出行者对各类信息的偏好是一个动态变化的过程,不同出行者对同类信息的偏好也不同.本研究搭建不同信息条件下逐日路径选择实验场景,用信息偏好系数表征不同类别信息对出行者感知时间影响的相对权重,研究出行者信息偏好的演化规律与分布特征.实验结果表明,出行个体信息偏好的演化存在3种类型,出行群体对感知时间的信息偏好系数先震荡增加后逐步稳定,出行个体对感知时间的信息偏好系数在出行群体中成正态分布.与只提供完全历史信息相比,同时提供基于指数平滑法的系统预测信息会降低出行者对感知时间的偏好.
[Abstract]:In the daily travel process, the traveler's preference for all kinds of information is a dynamic process, and different travelers have different preferences for the same information. In this study, the experimental scenes of daily path selection under different information conditions were built, and the relative weight of the influence of different types of information on the perceived time of the traveler was represented by the information preference coefficient, and the evolution and distribution characteristics of the traveler's information preference were studied. The experimental results show that there are three types in the evolution of travel individuals' information preference. The information preference coefficient of travel group to perceived time increases firstly and then stabilizes gradually. The information preference coefficients of travel individuals for perceived time are normally distributed in travel groups. Compared with only providing complete historical information, the system prediction information based on exponential smoothing method can reduce the traveler's preference for perceptual time.
【作者单位】： 北京工业大学交通工程北京重点实验室;
【基金】：国家重点基础研究发展计划项目(2012CB725403) 国家自然科学基金(51338088,51378036)~~
【分类号】：U491
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本文编号：1832005