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原文传递 An Adaptive Freeway Traffic State Estimator and Its Real-Data Testing-Part Ⅱ: Adaptive Capabilities
题名: An Adaptive Freeway Traffic State Estimator and Its Real-Data Testing-Part Ⅱ: Adaptive Capabilities
正文语种: 中文
作者: Y.Wang M.Papageorgiou A.Messmer
作者单位: ynamic Syatems and Simulation Laboratory,Technical University of rete,GR-73100 hania,Greece. Groebenseeweg2, -82402,Seeshaupt,Gemarry.
关键词: 高速公路 交通状态 状态估计
摘要: This paper reports on the real-data testing of a real-time adaptive freeway traffic state estimator that is based on macroscopic traffic flow modelling and extended Kalman filtering. The testing intends to demonstrate some main features of the estimator that are partly due to its adaptive capability based on on-line model parameter estimation. These features are (1) avoiding off-line model calibration; (2) adaptive to changing environmental conditions; (3) enabling incident alarms. The reported testing results are quite satisfactory and promising for future applications of the estimator.
会议日期: 20050625
会议举办地点: 西安
会议名称: 第五届交通运输领域国际学术会议
出版日期: 2005-06-25
母体文献: 第五届交通运输领域国际学术会议论文集
分类号: U491.11
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