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

摘要

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