Het exploiteren van een stadsdistributiecentrum: 7 lessen uit 10 jaar ervaring met Binnenstadservice

Stadsdistributiecentra (SDC) worden al vele jaren in de literatuur van stadslogistiek besproken. Het aantal succesvolle SDC's is in de praktijk nog steeds zeer schaars. Er is weinig gepubliceerd over de praktische zaken en ervaringen van het daadwerkelijk runnen van een SDC en het aanbieden van SDC-diensten. In Nederland heeft Binnenstadservice ...

Where shall we sync? Clustering passenger flows to identify urban public transport hubs and their key synchronization priorities

Minimizing passenger transfer times through public transport (PT) transfer synchronization is important during tactical planning and real-time control. However, there are computational challenges for solving this Timetable Synchronization Problem (TSP) for large, real-world urban PT networks. Hence, in this study we propose a data-driven,...

Using passenger flows to determine key interchange connections for public transport synchronization

For large urban networks and hubs, optimizing transfer synchronization becomes computationally challenging. The objective of this paper is therefore to develop a generic, data-driven methodology to determine the key line/direction-combinations to synchronize based on passenger flows. We developed an approach to detect communities of directional...

Supervised learning: Predicting passenger load in public transport

In this extended abstract, we show the supervised learning approach to<br/>predicting passenger load of trams, based on historical passenger load patterns. We look at two different cases: predicting long-term passenger load of any given day and time, and predicting short-term passenger load at a particular public transport vehicle.