Category: Additions3

This study investigates the collaborative green vehicle routing problem with time-dependent travel speeds (CGVRP-TD), which integrates horizontal collaboration among multiple depots with time-dependent traffic conditions. The problem jointly optimizes customer allocation, vehicle routing, and departure-time decisions to minimize transportation-related carbon …

This study proposes a delay-adaptive neural network (DANN) for querying the TOP-k critical vertices (kCV) on time-dependent shortest paths. Traditional kCV queries are typically formulated on static networks with fixed edge weights, whereas real-world network states often exhibit significant temporal …

Current urban logistics models often struggle to reconcile diurnal traffic dynamics with rigid spatial–temporal regulations. This decoupling causes “cascading infeasibility,” where traffic delays trigger structural regulatory violations and UAV energy depletion. This study formulates a time-dependent vehicle–UAV joint routing problem …

Timely collection of infectious medical waste (IMW) is essential for reducing the risk of cross-infection under China’s standardized epidemic prevention and control measures. Given the limited duration of protective clothing, medical staff work is divided into shifts, whose duration constitutes …

Real-time navigation systems are increasingly used to provide optimal driving routes together with accurate travel time predictions that reflect dynamic urban traffic conditions. Recent advances have focused on integrating structured traffic data from traditional APIs with unstructured, context-rich information extracted …

Existing truck-drone delivery research often neglects dynamic traffic and inter-route flexibility. To address this, we investigate the Time-Dependent Vehicle Routing Problem with Drones and Inter-route Recovery (TD-VRP-D-IR). We formulate a Mixed-Integer Linear Programming (MILP) model incorporating FIFO-based piecewise speed functions …

© 2023 Elsevier LtdDue to global warming and environmental deterioration, the development of electric vehicles (EVs) is seen as a key measure to promote energy saving and emission reduction in logistics industries. However, EVs’ limited driving range and long recharging …

© 2023 Elsevier LtdUnanticipated commuter railway disruptions inevitably tend to result in passenger bunching and frustration with considerable delays. Bus bridging strategy is a timely response approach to operationally handle and ease these scheduling disturbance issues. Conventional strategies, in this …

© 2023 Elsevier B.V.We consider a new combined truck–drone routing problem with time windows in the context of last-mile logistics. A fleet of trucks, each equipped with an identical drone, is scheduled to provide both pickup and delivery services to …