The agent computing paradigm is rapidly emerging as one of the powerful technologies for
the development of large-scale distributed systems to deal with the uncertainty in a dynamic …

Intelligent Public Transportation Systems (IPTS) are a subsystem of Intelligent
Transportation Systems (ITS), which aim to control public transportation networks, to …

In public transportation, the occurrence of unpredictable disturbances (eg accidents, delays,
traffic congestion, etc.) may affect the expected execution of preset organization and pre …

Abstract Although many Public Transportation Control Systems (PTCS) were developed to
support the management of public transportation systems, there is still a need to improve the …

La prise en charge des flux des patients, en particulier les flux récurrents et consécutifs à
des crises sanitaires (grippes, canicules, situations exceptionnelles) est l'un des problèmes …

In public bus transportation systems, several types of disturbances, such as accidents and
congestion, may affect preestablished timetables and visiting hours at stations. Disturbances …

In urban cities, disturbances, such as accidents or traffic congestion, may affect the good
performance and level of service of public bus transportation systems. Developing Decision …

This paper presents a supervisor system for urban traffic management, which aims to reduce
cars' queues in large cities. To achieve such objective this system uses fuzzy sets to detect if …

In this article, a solution to the problem of perturbation in the urban transport network has
been proposed. This solution is based on the multicriteria decision support method, which is …

This paper describes an urban traffic control system which aims at contributing to a more
efficient traffic management system in the cities of Brazil. It uses fuzzy sets, case-based …