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随机动态条件驾驶员多讫地出行路径选择研究
引用本文:王晓原,张敬磊,吕丹丹,高松.随机动态条件驾驶员多讫地出行路径选择研究[J].北京理工大学学报,2013,33(12):1293-1297.
作者姓名:王晓原  张敬磊  吕丹丹  高松
作者单位:山东理工大学交通与车辆工程学院,山东,淄博255091;山东理工大学交通与车辆工程学院,山东,淄博255091;山东理工大学交通与车辆工程学院,山东,淄博255091;山东理工大学交通与车辆工程学院,山东,淄博255091
基金项目:国家自然科学基金资助项目(61074140);山东省自然科学基金资助项目(ZR2010FM007,ZR2011EEM034)
摘    要:为解决驾驶员多讫地出行路径选择问题,综合各评价指标,提出了势力圆法,并对不同重要度讫地的势力圆分别进行了讨论研究. 结合离散动态贝叶斯网络,建立了多讫地出行的驾驶员路径选择动态决策模型. 通过具体算例对该模型进行了仿真验证,结果表明,综合势力圆法和离散动态贝叶斯网络方法在多讫地出行的路径决策中有着很好的适用性. 

关 键 词:驾驶员行为  路径选择  势力圆  离散动态贝叶斯网络  多讫地
收稿时间:6/7/2012 12:00:00 AM

Research on Route-Choice of Multi-Destination Trip under Random Dynamic Conditions
WANG Xiao-yuan,ZHANG Jing-lei,L&#; Dan-dan and GAO Song.Research on Route-Choice of Multi-Destination Trip under Random Dynamic Conditions[J].Journal of Beijing Institute of Technology(Natural Science Edition),2013,33(12):1293-1297.
Authors:WANG Xiao-yuan  ZHANG Jing-lei  L&#; Dan-dan and GAO Song
Institution:School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo, Shandong 255091, China
Abstract:In order to solve the problem of route-choice of multi-destination trip, radiation field method is put forward, by integrating evaluation index, and radiation field of the different importance degree target are respectively studied. Then, combined with the discrete dynamic Bayesian network, the route choice decision model of multi-destination travel for driver is established. The model is validated by simulation through concrete examples, results show that, combined radiation field method and discrete dynamic Bayesian networks method have good applicability for the route-choice decision of multi-destination travel.
Keywords:driver behavior  route choice  radiation field  discrete dynamic Bayesian network  multi-destination
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