车联网环境下司机路径选择行为研究  

Research on driver route choice behavior in Internet of Vehicles

作　　者：廖阳[1,2] 文义凡 李迎峰 LIAO Yang;WEN Yifan;LI Yingfeng(School of Management,Xi'an University of Architecture and Technology,Xi'an 710055,China;Shaanxi(University)Key Research Base of Philosophy and Social Sciences-Shaanxi Real Estate Industry Green Development and Mechanism Innovation Research Center,Xi′an 710055,China)

机构地区：[1]西安建筑科技大学管理学院,西安710055 [2]陕西(高校)哲学社会科学重点研究基地陕西省房地产业绿色发展与机制创新研究中心,西安710055

出　　处：《智能计算机与应用》2023年第3期58-63,共6页Intelligent Computer and Applications

基　　金：国家自然科学基金面上项目(41877527)。

摘　　要：为探究车联网环境下多种因素对司机路径选择的影响,以路网出行司机为研究对象,以调查问卷数据为基础,应用SPSS软件对多元影响因子进行关键因子筛选及影响特性分析,并采用二元Logit模型构建车联网环境下司机路径选择模型。分析结果表明:在司机个人属性中,驾龄、驾驶风格以及路径选择依据对司机路径选择行为影响最大;在出行特性中,司机对出行频率、出行距离更为敏感;交通信息的发布时机、内容、方式和准确度都较大程度地影响司机改变出行路径的概率。研究结果有利于交通管理部门制定诱导策略,提高交通效率,缓解城市交通压力。In order to explore the impact of multiple factors on driver's path choice under the Internet of Vehicles environment,taking road network drivers as the research object,based on the questionnaire data,SPSS software is used to screen the key factors and analyze the impact characteristics of multiple influencing factors,and binary Logit model is used to build the driver′s path choice model under the Internet of Vehicles environment.The results show that driving age,driving style and the basis of route choice have the greatest influence on the driver′s route choice behavior among the driver's personal attributes;In the travel characteristics,drivers are more sensitive to travel frequency and travel distance;the timing,content,method and accuracy of traffic information release greatly affect the probability of drivers changing their travel routes.The research results are helpful for traffic management departments to formulate guidance strategies,which could improve traffic efficiency and relieve urban traffic pressure.

关 键 词：车联网 路径选择 SP调查 LOGIT模型 城市交通 

分 类 号：U491[交通运输工程—交通运输规划与管理]