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

页码：2499 / 2510

页数：12

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