Abstract: Booking information including destination and origin and specifying a desired multi-modal freight shipment is obtained from a user; based on same and on route information from a carrier database, a plurality of feasible multi-modal routes for the desired freight shipment are generated with a route enumeration module. Based on cost information from the carrier database, cost for each of the feasible multi-modal routes is computed with a cost estimation sub-module of a metric computation module. Based on transit time information from the carrier database, transit time for each of the feasible multi-modal routes is computed with a transit time estimation sub-module of the metric computation module. Based on the cost for each of the feasible multi-modal routes and the transit time for each of the feasible multi-modal routes, multi-objective optimization under uncertainty is carried out with an optimization module, to obtain one or more preferred feasible multi-modal routes.

Abstract: Booking information including destination and origin and specifying a desired multi-modal freight shipment is obtained from a user; based on same and on route information from a carrier database, a plurality of feasible multi-modal routes for the desired freight shipment are generated with a route enumeration module. Based on cost information from the carrier database, cost for each of the feasible multi-modal routes is computed with a cost estimation sub-module of a metric computation module. Based on transit time information from the carrier database, transit time for each of the feasible multi-modal routes is computed with a transit time estimation sub-module of the metric computation module. Based on the cost for each of the feasible multi-modal routes and the transit time for each of the feasible multi-modal routes, multi-objective optimization under uncertainty is carried out with an optimization module, to obtain one or more preferred feasible multi-modal routes.