We present a Decision Support System (DSS) for co-modal transportation. The DSS answers multiple route planning requests in a co-modal setting with vehicle preference and conflicting criteria, e.g., costs, time, and gas emissions minimization. The DSS architecture is based on the inherently distributed multi-agent systems framework that allows the decomposition of the route planning problem into multiple simpler tasks. A genetic algorithm is employed to obtain the optimal user-vehicle-route combinations according to the users preferences. The DSS is tested simulating itinerary requests with conflicting preferences in Nord Pas de Calais (France).
|Titolo:||A Multi-Agent Decision Support System for Optimization of Co-Modal Transportation Route Planning Services|
|Data di pubblicazione:||2013|
|Nome del convegno:||IEEE 52nd Annual Conference on Decision and Control, CDC 2013|
|Digital Object Identifier (DOI):||10.1109/CDC.2013.6759998|
|Appare nelle tipologie:||4.1 Contributo in Atti di convegno|