摘要
OD矩阵是智能交通的重要研究领域之一,是微观交通仿真、城市交通规划、管理和控制等的关键数据。本文将微观交通仿真与交通信号机监控系统相结合,提出一种基于极大熵法的动态OD估计算法,分析路段交通流的动态变化,为提高OD估计的精度,给出一种历史OD矩阵的递推方法,仿真结果表明本文方法是有效、可行的。
Origin-Destination（OD） matrix is one of the most important research fields in the intelligent traffic. It plays an important role in the microscopic traffic simulation and urban traffic plan, management and control. By combining the microscopic traffic simulation with the traffic control system, a dynamic OD matrix estimation algorithm based on the maximum entropy method is proposed . The dynamic variation of the traffic flow in the roadway segment is analyzed , and a recursion formula of the historical OD matrix is given to enhance the estimation accuracy of OD matrix. The simulation experiment shows the proposed approach is effective and practical.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
2006年第6期753-757,共5页
Pattern Recognition and Artificial Intelligence
基金
国家863计划资助项目(No.2003AA001021)
关键词
微观交通仿真
动态OD矩阵
极大熵法
交通控制信号
Microscopic Traffic Simulation, Dynamic Origin-Destination Matrix, MaximumEntropy Method, Traffic Control Signal
