Fuzzy modelling of sensor data for the estimation of an origin-destination matrix

被引：0

作者：

Biletska, Krystyna ^{[1
,2
,4
]}

Midenet, Sophie ^{[4
]}

Masson, Marie-Helene ^{[2
,3
]}

Denoeux, Thierry ^{[1
,2
]}

机构：

[1] Univ Technol Compiegne, BP 20529, F-60205 Compiegne, France

[2] CNRS, UMR 6599 Heudiasyc, F-60205 Compiegne, France

[3] Univ Picardie Jules Verne, IUT Oise, F-93166 Noisy Le Grand, France

[4] Univ Paris Est, Inst Natl Rech Transports & Leur Securite INRETS, Lab GRETIA, F-93166 Noisy Le Grand, France

来源：

PROCEEDINGS OF THE JOINT 2009 INTERNATIONAL FUZZY SYSTEMS ASSOCIATION WORLD CONGRESS AND 2009 EUROPEAN SOCIETY OF FUZZY LOGIC AND TECHNOLOGY CONFERENCE | 2009年

关键词：

Fuzzy least squares; Fuzzy linear programming; Fuzzy modelling; Origin-destination matrix; RECURSIVE ESTIMATION; PETRI NETS; OPTIMIZATION; INTERSECTION; FLOWS;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper examines a short-time estimation problem of an origin-destination (OD) matrix, where each element is a volume of vehicle flow between one of the OD pair of zones of a signalised junction. The estimation is based on the use of traffic measurements provided by video sensors and on the knowledge of the traffic lights. This data is subject to redundancy, imprecision and uncertainty. The main purpose of this paper is to obtain the best estimates of the OD matrix by modelling the data imperfection, using a two-step method. First, relationships between the observed data are built in real-time using High-Level Petri Nets. Due to the imperfection of data the system obtained is underdetermined and inconsistent. Second, the fuzzy sets theory is used to model this imperfection and to overcome the inconsistency of the system.

引用

页码：849 / 854

页数：6

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