摘要
考虑城市道路交通运行的复杂性,抽象出城市道路网络拓扑结构.通过布设检测器采集路段流量、转向比例等多源数据信息,在上述分析基础上,运用吸收马尔可夫理论对城市道路网络进行建模分析,将路段流量、转向比例、小区发生吸引量等参数联系起来,分别利用小区发生量和若干路段流量,得到交通流起讫点OD的不同估计模型,并给出相应算法.建立井字型路网仿真平台采集多源数据信息,求出马尔可夫转移概率矩阵,并用稀疏矩阵的形式导入Matlab编程仿真中进行一系列矩阵运算.数值算例表明,该模型能有效计算路段流量,进而提高OD估计精度.
Considering the complexity of traffic on urban road,the network topology was formulated.In order to make better use of the multisource data,the absorbing Markov process theory was employed to network.Then the model which connected the parameters,such as traffic counts,traffic producing and absorbing,was formulated.A simulation system was established to illustrate the model.In this system,the multisource data,such as traffic counts and steering ratio,were collected by the detectors.After data processing,the Markov transition probability matrix is obtained,which can be imported into the MATLAB as sparse matrix.The outputs of the model show that the traffic volumes can be calculated accurately.
出处
《同济大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2011年第9期1292-1296,共5页
Journal of Tongji University:Natural Science
基金
国家"八六三"高技术研究发展计划(2008AA11Z205)
国家自然科学重点基金项目(70631002)
关键词
城市道路
OD估计
智能交通系统
吸收马尔可夫过程
urban road
OD estimation
intelligent transportation system
absorbing Markov process
