City logistics service providers are expected to offer high quality, reasonably-priced delivery services in the environment of congested conurbations. Increasing complexity of underlying supply chains and increasing customer requirements demand for modern planning systems producing cost-efficient and customer-friendly delivery tours. Todays planning systems, however, are usually limited to static information such as distances or average travel times. Resulting pickup and delivery tours may be far from optimality, reliability and sometimes even far from feasibility, leading to unnecessary costs and a limited level of service quality.
Cost-Efficient and Reliable Routing in City Logistics
Interval-based travel times can be a data thrift compromise between the classic, well-researched deterministic route planning and complex, data-intensive, stochastic route planning. This research project develops methods for robust shortest routes and interval based trip planning and evaluates them in a city logistics context.