We have concentrated the majority of our efforts in developing stochastic models and algorithms for dynamic routing on intermodal networks in the form of Stochastic Dynamic Programming (SDP). We have met and exceeded our goals in terms of the practicality of the models and algorithms developed. In particular, we have expanded the scope of the models developed in the first year, where we only considered a single inter-modal shipment. While this approach is suitable in most part for the shippers (e.g. for our collaborator Ford) and to some extent for the freight forwarders (e.g. C.H.Robinson), multiple shipments with milk run deliveries is the most common scenario in the freight forwarding industry and to some extent for the shippers with multiple facilities.
Value of ITS Information for Congestion Avoidance in Inter-Modal Transportation Systems - Phase II
2010
46 pages
Report
Keine Angabe
Englisch
Transportation & Traffic Planning , Transportation , Intermodel transportation systems , Traffic congestion , Cargo transportation , Shipping , Airports , Trucks , Computer networks , Information systems , Optimization , Heuristic methods , Stochastic processes , Case studies , Milk run pickups and deliveries
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