Title :
A Multi-agent based model for urban demand-responsive transport system intelligent control
Author :
Jin, Xu ; Abdulrab, Habib ; Itmi, Mhamed
Author_Institution :
Lab. LITIS, INSA de Rouen, Mont St. Aignan
Abstract :
This research presents a multi-agent based urban demand responsive transport (DRT) system intelligent control model, which adopts a practical multi-agents planning approach for urban DRT services control that satisfies the main constraints: minimize total slack time, travel time, waiting time, clientpsilas special requests, and using minimum number of vehicle. In this paper, we propose an agent based multi-layer distributed hybrid planning model for the real-time problem which can solve this question. In the proposed method, an agent for each vehicle finds a set of routes by its local search, and selects a route by cooperation with other agents in its planning domain. By computational experiments, we examine the effectiveness of the proposed method.
Keywords :
intelligent control; multi-agent systems; planning (artificial intelligence); traffic control; traffic engineering computing; multi-agent based model; multi-agents planning approach; urban demand-responsive transport system intelligent control; Air pollution; Cities and towns; Costs; Intelligent control; Intelligent vehicles; Laboratories; Multiagent systems; Remotely operated vehicles; Technology management; Traffic control;
Conference_Titel :
Intelligent Vehicles Symposium, 2008 IEEE
Conference_Location :
Eindhoven
Print_ISBN :
978-1-4244-2568-6
Electronic_ISBN :
1931-0587
DOI :
10.1109/IVS.2008.4621183