Asger Gitz-Johansen, Mikkel Elkjaer Holm, Laurids Vinther Kirkeby, Dan Kristiansen, Alexander Stoica Ostenfeld, M. K. Schou, Bin Yang
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Thanks to recent e-commerce growth, the parcel delivery industry is booming. We demonstrate a system that provides a practical solution for scheduling and planning parcel delivery routes. Given a parcel delivery workload, e.g., the number of parcels to be delivered and the sizes of the parcels, the system tries to identify a set of delivery routes such that the workload is satisfied and the total delivery cost is minimized. The system is developed on top of aSTEP, a spatio-temporal data analytics platform developed at Aalborg University, and is tested with parcel delivery workloads provided by a large logistic company in Denmark.
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