Data allocation and application for time-dependent vehicle routing in city logistics

Jan Fabian Ehmke and Dirk Christian Mattfeld

European Transport \ Trasporti Europei, 2010, issue 46, 24-35

Abstract: In city logistics, service providers have to consider dynamics within logistics processes in order to achieve higher schedule reliability and delivery flexibility. To this end, city logistics routing demands for time-dependent travel time estimates and time-dependent optimization models. We consider the process of allocation and application of empirical traffic data for time-dependent vehicle routing in city logistics with respect to its usage. Telematics based traffic data collection and the conversion from raw empirical traffic data into information models is discussed. A city logistics scenario points out the applicability of the information models provided, which are based on huge amounts of real traffic data (FCD). Thus, the benefits of time-dependent planning in contrast to common static planning methods can be demonstrated.

Keywords: City Logistics; Time-dependent; Data analysis; Data mining; Vehicle routing (search for similar items in EconPapers)
Date: 2010
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