A Corridor-Based Drone-Carrier Vehicle System for Environment-Aware Last-Mile Delivery

This paper proposes a corridor-based drone–carrier framework for last-mile urban delivery that explicitly minimizes environmental impact while improving logistics efficiency. Starting from a central warehouse, customer locations are first partitioned into clusters using the k-means algorithm, and a carrier vehicle transports multiple drones—each loaded with up to a specified number of packages and equipped with on-board charging—and sequentially pauses at optimized “corri-dor entrance” points. At each entrance, a drone departs along a corridor toward its assigned customer cluster. By confining drone trajectories within narrow corridors instead of allowing point-to-point flights, noise dispersion and ecological disturbances are substantially reduced, and airspace congestion is minimized. Within each cluster, the drone applies a nearest-neighbor heuristic followed by a refinement strategy to sequence deliveries, ensuring that battery endurance and payload constraints are respected. After completing its sortie, the drone returns along the same corridor to rendezvous with the moving carrier; if necessary , it may hover until the vehicle arrives. In alternative scenarios, temporary depot stations located near corridor entrances support battery recharging and package replenishment—thus avoiding unnecessary drone hovering and eliminating unnecessary carrier vehicle movement—further extending the operational range without detours into densely populated areas. Simulation results in realistic urban layouts demonstrate that this strategy not only lowers total travel distance and delivery times compared to conventional point-to-point approaches 1 but also confines noise and emissions to narrow aerial corridors, thereby fostering sustainable, community-friendly drone logistics.