Tag: trip optimisation

  • New ORS Jupyter example about Fleet Scheduling for Disaster Response with ORS and VROOM

    Routing optimization in a humanitarian context Routing optimization generally solves the Vehicle Routing Problem (a simple example being the more widely known Traveling Salesman Problem). A more complex example would be the distribution of goods by a fleet of multiple vehicles to dozens of locations, where each vehicle has certain time windows in which it can operate […]

  • Solve routing optimization with VROOM + openrouteservice

    In a Vehicle Routing Problem (VRP, an example is the Traveling Salesman Problem), we are concerned with finding optimal routes for a fleet of vehicles having to reach given destinations, e.g., in order to deliver goods to customers. Due to its high computational complexity, this task requires dedicated VRP solvers, such as VROOM. In collaboration with […]

  • GIScience Colloquium talk on Adaptive Trip Planning by Dr. Thomas Liebig

    we cordially invite everybody interested to our next open GIScience colloquium talk Adaptive Trip Planning Dr. Thomas Liebig TU Dortmund, Artificial Intelligence Unit Time and date: Tue, September 12, 10:00 am Venue: INF 348, Room 015, Department of Geography, Heidelberg University Route planning makes direct use of geographic data and provides beneficial recommendations to the public. […]