A learning-based co-planning method with truck and container routing for improved barge departure times

Cooperation between container transport service providers can increase efficiency in the logistics sector significantly. However, cooperation between competitors requires co-planning methods that not only give the cooperating partners an advantage towards external competition but also protect the partners from losing information, clients and...

Secure Multi-party Co-planning of Barge Departures

Container transport requires real-time control and a high degree of cooperation to alleviate disturbances and perform smoothly without unnecessary environmental impact and monetary losses. The involved operators are, however, often reluctant to cooperate as they fear loosing valuable information and autonomy, eventually leading their clients...

Integrated Mode Choice and Vehicle Routing for Container Transport

It is desirable to improve the efficiency of container transport both from an economical and an environmental point of view, as increased efficiency decreases costs and emissions per transported container. Modern transport schemes, such as synchromodal transport, use a-modal bookings to increase the flexibility of the transport providers where...

Model predictive control for simultaneous planning of container and vehicle routes

Transport of containers on a-modal bookings enables transport suppliers to route the containers in accordance with the current state of the synchromodal transport network. At the same time, it enables the transport providers to route their vehicles in real time based on the current need for transportation. The interdependency of the routes of...

Model predictive control with memory-based discrete search for switched linear systems

Controlling systems with both continuous and discrete actuators using model predictive control is often impractical, since mixed-integer optimization problems are too complex to solve sufficiently fast. This paper proposes a parallelizable method to control both the continuous input and the discrete switching signal for linear switched...

Learning-Based Co-planning for Improved Container, Barge and Truck Routing

When barges are scheduled before the demand for container transport is known, the scheduled departures may match poorly with the realised demands’ due dates and with the truck utilization. Synchromodal transport enables simultaneous planning of container, truck and barge routes at the operational level. Often these decisions are taken by...

Simultaneous planning of container and vehicle-routes using model predictive control

When containers are transported on a-modal bookings, the transport supplier can decide which combination of trucks, trains, ships, etc. to use. This gives the flexibility to transport suppliers to route the containers in accordance with the current state of the synchromodal transport network. At the same time, it enables the transport...