无人机
随机性
公共交通
计算机科学
约束(计算机辅助设计)
布线(电子设计自动化)
路径(计算)
最短路径问题
预算约束
流量网络
数学优化
运筹学
计算机网络
运输工程
工程类
数学
经济
遗传学
机械工程
新古典经济学
图形
统计
理论计算机科学
生物
作者
Hailong Huang,Andrey V. Savkin,Chao Huang
标识
DOI:10.1109/tte.2020.3011682
摘要
Focusing on using drones to deliver packages, this article considers a new delivery mode exploiting public transportation vehicles. Due to the battery capacity constraint, which limits the delivery area of drones, the public transportation vehicles are used to transport a drone to someplace unreachable by flying only. The problem under investigation is the round trip routing problem that finds the shortest path in terms of time in a time-dependent network, subject to the delivery deadline constraint and the energy budget constraint. The time-dependent network composes of the transit network and some extra drone flights. An exact solution algorithm is developed to find the optimal round trip path, and then, it is extended to accommodate the randomness of the considered network. The effectiveness is demonstrated via computer simulations.
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