Vehicle and UAV Collaborative Delivery Path Optimization Model

In the context of frequent public emergencies, emergency logistics distribution is particularly critical, and because unique advantages unmanned aerial vehicles (UAVs), model coordinated delivery UAVs gradually becoming an essential form distribution. However, omission start-up costs prevents cost UAV battery replacement sorting, assembly verification packages from being factored into total cost. Furthermore, most existing models focus on route optimization cost, which cannot fully reflect customer’s desire for service satisfaction under conditions. It necessary to convert unsatisfactory degree time window a penalty rather than constraint. Additionally, there lack analysis mutual waiting between when one them performing tasks. Considering effects window, customer demand, maximum load capacity, duration benefits, we propose collaborative path minimize A genetic algorithm used obtain solution constraints subloops, order, take-off landing nodes. To assess efficacy vehicle model, this paper employs county-level district in Xi’an city as pilot area delivery. Compared with vehicle-alone UAV-alone vehicle-UAV can significantly reduce utilization while also lowering Thus, effectively improve timeliness satisfaction. The 39.2% less that 16.5% model. Although its slightly higher reduction decrease overall by 11.8%. This suggests cut all sizes conserve half resources vehicles, employing preferable. Moreover, integrating etc., more express requirements