Authors:
Mohamad El Falou
and
Mhamed Itmi
Affiliation:
National Institute of Applied Sciences, France
Keyword(s):
On Demand Transport, Multi-agent System, Intelligent Transport.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Distributed and Mobile Software Systems
;
Distributed Problem Solving
;
Enterprise Information Systems
;
Formal Methods
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Multi-Agent Systems
;
Planning and Scheduling
;
Simulation and Modeling
;
Software Engineering
;
Symbolic Systems
Abstract:
In recent years, urban traffic congestion and air pollution have become huge problems in many cities in the world. A possible investment in order to reduce congestion is to increase the number of passengers in vehicles, and to decrease the number of vehicles on streets. This problem is defined as on demand transport (ODT) problem. The ODT problem environment is defined by three components: the infrastructure of the city, the vehicles and the drivers. Clients formulate requests for transportation from a pickup, to a drop off places. These requests are received and must be served on real time by the set of vehicles, which require real time environment updates. This paper is a first step to model the ODT problem as a multi-agent distributed planning problem. Our model relaxes some definitions and reduces the complexity of the ODT problem to allow better optimization.