节点文献
基于卡尔曼滤波的动态OD矩阵估计
Kalman Filtering Based Dynamic OD Matrix Estimation
【摘要】 建立了动态OD矩阵估计的状态空间模型,通过对路段车流量和行程时间的检测以估计时变的OD数据,并对其中关键的分配矩阵给出了解析的计算公式.采用扩大状态变量的卡尔曼滤波,得到了OD估计的实时递推算法.仿真实验表明算法非常有效.
【Abstract】 A state space model is proposed so that the dynamic OD matrix can be estimated through the surveillance of link flows and traveling times in traffic networks. Moreover, an analytical formula for calculating the assignment matrix which is essential in the proposed model, is presented. With the Kalman filtering method, a real-time recursive OD estimation algorithm is developed and validated by numerical results.
【基金】 国家自然科学基金(60175015)
- 【文献出处】 系统工程理论与实践 ,Systems Engineering-theory & Practice , 编辑部邮箱 ,2003年10期
- 【分类号】U491
- 【被引频次】38
- 【下载频次】604