OD矩阵估计中的AVI设施布局优化  

Optimization of Automatic Vehicle Identification Facility Location for OD Matrix Estimation

作　　者：孙剑[1] 杨宇伟[1] 李克平[1] 

机构地区：[1]同济大学道路与交通工程教育部重点试验室,上海201804

出　　处：《公路交通科技》2010年第8期70-75,共6页Journal of Highway and Transportation Research and Development

基　　金：国家自然科学基金资助项目(50948056)

摘　　要：根据传统定点检测器和车辆自动识别（AVI）检测器检测的交通参数,分析了面向OD矩阵估计的AVI设施布局与传统定点检测器布局在数据源、问题描述、优化模型和精度评价方面的差别。提出了在已有定点检测设施基础上的AVI设施布局优化的车辆覆盖最大原则,构筑了AVI设施布局优化模型,并设计了相应的启发式求解算法,该模型能在保证OD矩阵估计精度的同时最大化AVI检测效益。然后以VISSIM微观仿真模型为基础建立了AVI布局优化仿真评价系统,可对不同AVI布局方案的有效性进行软件在环的验证和优化。最后,以上海陆家嘴区域交通网络为例,进行了AVI设施布局仿真试验,检测器覆盖率从5%~50%的敏感性分析表明,覆盖率为20%时,系统的综合投入产出效益最佳。Based on traffic information detected by traditional fixed-point detector and Automatic Vehicle Identification（AVI） device on road section,the difference of locations between fixed-point detector and AVI detector was analyzed in respect of data source,problem description,optimization model and precision evaluation for Origin Destination（OD） matrix estimation.The AVI facility location optimization problem,including maximum vehicle coverage principle,its corresponding optimization model and heuristic algorithm were put forward based on the prior fixed facility in the network.The model can maximize AVI detecting benefit on the basis of OD matrix estimation accuracy.Then the AVI location optimization simulation evaluation system was established using the VISSIM micro simulation model to evaluate and optimize the validities of different AVI location schemes in the ＂software-in-the-loop＂ system.At last,a simulation test of AVI location in Lujiazui area was performed with the AVI coverage rate varying from 5% to 50%.The result shows that the input-output benefit is the best when coverage rate is 20%.

关 键 词：交通工程 布局优化 车辆覆盖最大原则 车辆自动识别 OD矩阵估计 

分 类 号：U491.13[交通运输工程—交通运输规划与管理]