Proceedings of the AAAI Conference on Artificial Intelligence · 2014 · 17 citations · 7 references
ManagementElectrical EngineeringTransportation PlanningTransportTransport PlanningTransportationMobility ManagementRoute PlanningShortest Path AlgorithmsTransportation ModelsTransportation ProblemsVehicle SchedulingBattery Electric VehiclesElectric Vehicle SchedulingEnergy Supply ConstraintsHeuristicsRoad Traffic NetworksShortest Path OptimizationShortest Path PlanningVehicle Routing
Compared to conventional cars, electric vehicles still suffer from a considerably shorter cruising range. Combined with the sparsity of battery loading stations, the complete transition to E-mobility still seems a long way to go. In this paper, we consider the problem of placing as few loading stations as possible such that on any shortest path there are enough to guarantee sufficient energy supply. This means, that EV owners no longer have to plan their trips ahead incorporating loading station locations, and are no longer forced to accept long detours to reach their destinations. We show how to model this problem and introduce heuristics which provide close-to-optimal solutions even in large road networks.
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Electric vehicle charging station placement
Albert Y. S. Lam, Yiu-Wing Leung, Xiaowen Chu · 2013 · 105 citations
Natural Sciences, Transportation Planning, Urban Planning +17
PHAST: Hardware-Accelerated Shortest Path Trees
Daniel Delling, Andrew V. Goldberg, Andreas Nowatzyk et al. · 2011 · 57 citations