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Overview EVRPTW-ARC (Arc-Based Realistic Conditions) is a multi-scenario dataset providing realistic travel information for research on the Electric Vehicle Routing Problem with Time Windows (EVRPTW). The dataset is built from the 92 benchmark instances proposed by Schneider et al. (2014). The original routing informat...
Overview EVRPTW-ARC (Arc-Based Realistic Conditions) is a multi-scenario dataset providing realistic travel information for research on the Electric Vehicle Routing Problem with Time Windows (EVRPTW). The dataset is built from the 92 benchmark instances proposed by Schneider et al. (2014). The original routing informat...
Overview This dataset provides a geospatially enriched version of the EVRPTW benchmark instances of Schneider et al. (2014). It is intended for evaluating routing algorithms for electric vehicles when route optimization and physically based energy consumption must be studied together. Every node of every instance (depo...
Overview This dataset provides a geospatially enriched version of the EVRPTW benchmark instances of Schneider et al. (2014). It is intended for evaluating routing algorithms for electric vehicles when route optimization and physically based energy consumption must be studied together. Every node of every instance (depo...
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