Date
2000
Indexation documentaire
Intelligence artificielle
Subject
public transport; decision aid system; SATIR
Titre du colloque
10th International IEEE Conference on Road Transport Information and Control
Date du colloque
04-2000
Ville du colloque
Londres
Pays du colloque
Royaume-Uni
Titre de l'ouvrage
Tenth International Conference on Road Transport Information and Control, 2000
Nom de l'éditeur
IEEE Computer Society
Année
2000
ISBN
0-85296-725-X
Auteur
Rodriguez, Jacques
Caruso, M.
Scemama, Gérard
Balbo, Flavien
Tendjaoui, Mustapha
Type
Communication / Conférence
Nombre de pages du document
200-204
Résumé en anglais
The progress in telematics at the level of surface public transport resulted in the progressive implementation of centralised fleet management systems based on automatic vehicle monitoring systems (AVM). However faced with the many disturbances on public transport, the operators have much difficulty in detecting situations with problems and make the right decisions. In this respect the decision domain, Scemama and Gaudin (1998), represents a major challenge for the new AVM generation. The paper presents a decision aid system for AVM operators, called SATIR (“Systeme d'Aide au Traitement des Incidents pour les Regulateurs”). After an introduction presenting the state of the art of AVM systems, the functions of SATIR are presented. Then its technical achievement and the first results of its assessment on the public transport network of STIB in Brussels are addressed.