A fuzzy logic approach for car-following modelling

被引：1

作者：

González-Rojo, S. ^{[1
,3
]}

Slama, J.G. ^{[4
]}

Pereira, A. Lopes ^{[4
]}

Mora-Camino, F. ^{[1
,2
]}

机构：

[1] LAAS du CNRS, 7, Av. du Colonel Roche, 32077 Toulouse, France

[2] Ecole Nationale de l'a Nation Civile, 7, Av. E. Belim, 31055 Toulouse, France

[3] Institute Tecnológico de Chihuaua, Mexico Av. Tecnologico 2909, 31310, Chihuahua, Chih, Mexico

[4] Universidade Federal do Rio de Janeiro, COPPE/UFRJ, Cx. Postal 68512, Rio de Janeiro, Brazil

来源：

Systems Analysis Modelling Simulation | 2002年 / 42卷 / 05期

关键词：

Automobiles - Computational complexity - Computer simulation - Cybernetics - Parameter estimation - Simulation - Traffic control;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

In this communication, the classical car-following theory, which is based on intuitiveness and behavioural representation, is revisited from the point of view of cybernetics theory. Then, a new approach, based on fuzzy modelling, is proposed to estimate the main parameters of the basic car following model. This approach, contrarily to earlier fuzzy logic approaches, maintains the structure of the classical car-following model, limits its complexity and provides means to take into account the main parameters influencing the behaviour of the driver and allows a formal verification of local and global stability of the simulated traffic flow. So, after introducing a new approach based on cybernetics concepts for the modelling of car-following, which provides a theoretical basis for the basic model, the main concepts of fuzzy logic theory and of fuzzy modelling are briefly presented. Then a fuzzy estimation approach is proposed for the main parameters of the basic car-following model. Finally, simulation results making use of the proposed modelling approach are presented.

引用

页码：735 / 755

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