交通信息与安全2012，Vol.30Issue(4)：48-51,4.DOI:10.3963/j.issn 1674-4861.2012.04.011
交通网络中动态OD矩阵估计模型研究
A Novel Model for Dynamic OD Matrix Estimation in Traffic Network
摘要
Abstract
Dynamic OD matrix provides the basic data for the intelligent transportation system. In order to improve the precision of dynamic OD matrix estimation, the dispersion between the road flows and the assignment flows and the dispersion between the prior OD matrix and the estimated OD matrix are minimized. Simultaneously, the information that is collected by the probe vehicles is fused in the process of the OD matrix estimation. In the dynamic networks loading process, the iterative process of the fixed-point issue for the traffic network will diverge when the estimated value of the OD matrix exceeds the number of the load vehicles. Therefore, the capacity constraint is used in the estimation process. Based on the Generalized Least Square (GLS) model, a dynamic OD matrix estimation algorithm with inequality constraints is proposed. The simulation tests show that the proposed method can get good performance for OD matrix estimation, and the estimation accuracy is much higher than that of the algorithm with the sliding window.关键词
智能交通/OD矩阵估计/浮动车采集信息/容量约束/广义最小二乘模型Key words
intelligent transportation/ OD matrix estimation/ probe vehicle detecting information/ capacity constraint/ generalized least square model分类
交通工程引用本文复制引用
江竹,赵飞,符杰..交通网络中动态OD矩阵估计模型研究[J].交通信息与安全,2012,30(4):48-51,4.基金项目
西华大学重点科研基金项目(批准号:Z1120413)、四川省流体机械高校重点实验室项目(批准号:SBZDPY-11-5)、四川省教育厅重点项目(批准号:11ZA009)资助 （批准号:Z1120413）
