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The Traveling Salesman Problem: Route Planning of Recharging Station-Assisted Drone Delivery

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Proceedings of the Fourteenth International Conference on Management Science and Engineering Management (ICMSEM 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1191))

Abstract

The far-reaching distribution distance is a challenging problem in the rural UAV logistics market. With the use of UAV recharging stations, the maximum flight distance of the UAV can be extended, which greatly reduces the total time to complete the truck delivery. This paper mainly discuss a route planning problem of a single drone and truck under the construction of recharging stations during the package delivery, which is a single-objective optimization process. A mixed integer linear programming (MILP) formulation is proposed to solve the above problem. Finally, the results of an illustrative instance are calculated to show the feasibility and accuracy of our model.

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Correspondence to Rui Qiu .

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Sun, D., Peng, X., Qiu, R., Huang, Y. (2021). The Traveling Salesman Problem: Route Planning of Recharging Station-Assisted Drone Delivery. In: Xu, J., Duca, G., Ahmed, S., García Márquez, F., Hajiyev, A. (eds) Proceedings of the Fourteenth International Conference on Management Science and Engineering Management. ICMSEM 2020. Advances in Intelligent Systems and Computing, vol 1191. Springer, Cham. https://doi.org/10.1007/978-3-030-49889-4_2

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