摘要
针对采用车牌照进行车辆出行轨迹的调查分析过程中产生的混合轨迹问题,从分析原理、构建解集、拆分决策三方面研究了混合轨迹的拆分方法。建立了一次可达网络模型,阐明了面向轨迹交通调查的工作机理,通过对比分析正常轨迹和混合轨迹特征,采用基于栈式节点存储的深度优先搜索算法构建了车辆出行轨迹拆分解集。在此基础上,考虑时距相符程度、路径模式匹配程度、路径曲折度指标建立轨迹效用函数,利用TOPSIS法进行轨迹拆分的最优解决策,通过算例说明了算法的有效性。
In order to solve mixed track problem in the process of survey and analysis for vehicle track based on plate number, a method of track split is studied by principle analysis, constructing solution set and split decision. A Direct Access Network model （DAN） is established to describe the accessibility relation among survey points, and then the working mechanism based on DAR for track-oriented traffic survey is illustrated. Through the comparative analysis of features of normal track and mixed track, the in-depth priority search algorithm is applied to constructing the solution set of split tracks. According to the correspondence degree between distance and time, matching degree of route patterns and tortuous degree of route, the track utility function is constructed and the optimal decision-making of split track is made using TOPSIS method. An example is given to illustrate the effectiveness of the method.
出处
《计算机工程与应用》
CSCD
2013年第21期1-5,共5页
Computer Engineering and Applications
基金
国家自然科学基金(No.51208054)
中央高校基本科研基金资助项目(No.CHD2011JC191)
