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).
A Multi-Agent Decision Support System for Optimization of Co-Modal Transportation Route Planning Services / Dotoli, Mariagrazia; Hammadi, S; Jeribi, K; Russo, C; Zgaya, H.. - (2013), pp. 911-916. (Intervento presentato al convegno IEEE 52nd Annual Conference on Decision and Control, CDC 2013 tenutosi a Firenze, Italy nel December 10-13, 2013) [10.1109/CDC.2013.6759998].
A Multi-Agent Decision Support System for Optimization of Co-Modal Transportation Route Planning Services
DOTOLI, Mariagrazia;
2013
Abstract
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).I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
