AN ALGEBRAIC FRAMEWORK FOR TRAFFIC STATE ESTIMATION

被引：0
|
作者：
Abouaissa, Hassane [1 ]
机构：
[1] Univ Artois, LGI2A, Lab Comp Sci & Automat Control, F-62408 Bethune, France
来源：
INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL | 2009年 / 5卷 / 09期
关键词：
Traffic control; State estimation; Algebraic methods; Macroscopic models; KALMAN FILTER; FLOW; MODEL; WAVES;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper addresses the traffic density estimation problem and its application for real-time freeway ramp-metering. The proposed approach rests on the use of algebraic methods for numerical differentiation. Its application is a novel attempt in the field of traffic flow modeling and control. Numerical simulations as well as an application for a real-time isolated ramp-metering illustrate the relevance of the approach and show convincing and encouraging results.
引用
收藏
页码：2499 / 2510
页数：12
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