紧急情况下的后退地平线多车辆路线

Giorgia Chini, Cecilia Poli, G. Oddi, A. Pietrabissa, M. Grigioni
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引用次数: 6

摘要

本文研究了确定性和随机两种情况下的动态多车辆路径问题;目标是为车队找到最佳路径,目的是访问一组目标。本文基于文献[4]中针对欧几里得情况提出的协同后退地平线方法,i)开发了一种图表示任务空间的路由算法,ii)提出了一种切换算法,该算法能够根据车辆和目标的时变配置动态改变车辆的行为,并处理未知目标的发现。仿真结果表明了算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Receding horizon multi-vehicle routing for emergency scenarios
This paper deals with dynamic Multi-Vehicle Routing Problem in both deterministic and stochastic scenarios; the objective is to find the best paths for a fleet of vehicles, with the aim of visiting a set of targets. Based on the Cooperative Receding Horizon approach proposed in [4] for the Euclidean case, this paper i) develop a routing algorithm for graph-represented mission spaces, ii) presents a switching algorithm, which is able to dynamically change the vehicle behaviour according to the time-variable configuration of both vehicles and targets, as well as to handle the discovery of unknown targets. Simulations show the algorithm effectiveness.
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