Drone Distribution Route Optimization of Simultaneous Pick-Up and Delivery

Yueyue Liu () and Guowei Hua ()
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Yueyue Liu: Beijing Jiaotong University
Guowei Hua: Beijing Jiaotong University

A chapter in LISS 2024, 2025, pp 1045-1055 from Springer

Abstract: Abstract In order to effectively integrate forward and reverse logistics, taking advantage of the characteristics of drones with low cost, less influence by ground traffic conditions and less pollutant emission, a drone delivery model comprehensively considering the factors such as drone failure and segmented battery energy consumption is constructed. The ant colony algorithm is used to optimally solve the model, and finally the example scenarios is used to test it. The results show that the new drone delivery model can effectively reduce the logistics cost while better improving the reliability; analyzing key parameters have demonstrated that expanding the drone payload and battery capacity will help improve operational effects.

Keywords: drone delivery; routing optimization; forward and reverse logistics integration; ant colony algorithm (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/978-981-96-9697-0_79

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