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Fleet management for autonomous vehicles: Online PDP under special constraints

机译:自动驾驶车辆的车队管理:特殊的在线pDp   限制

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摘要

The VIPAFLEET project consists in developing models and algorithms for man-aging a fleet of Individual Public Autonomous Vehicles (VIPA). Hereby, weconsider a fleet of cars distributed at specified stations in an industrialarea to supply internal transportation, where the cars can be used in differentmodes of circulation (tram mode, elevator mode, taxi mode). One goal is todevelop and implement suitable algorithms for each mode in order to satisfy allthe requests under an economic point of view by minimizing the total tourlength. The innovative idea and challenge of the project is to develop andinstall a dynamic fleet management system that allows the operator to switchbetween the different modes within the different periods of the day accordingto the dynamic transportation demands of the users. We model the underlyingonline transportation system and propose a correspond- ing fleet managementframework, to handle modes, demands and commands. We consider two modes ofcirculation, tram and elevator mode, propose for each mode appropriate on- linealgorithms and evaluate their performance, both in terms of competitiveanalysis and practical behavior.
机译:VIPAFLEET项目包括开发模型和算法,以管理一组个人专用自动驾驶汽车(VIPA)。因此,我们考虑了分布在工业区中指定站点的车队,以提供内部运输,在这些车厢中,车可以用于不同的流通模式(电车模式,电梯模式,出租车模式)。一个目标是针对每种模式开发和实现合适的算法,以便通过最小化总游程长度来从经济角度满足所有要求。该项目的创新思想和挑战是开发并安装动态车队管理系统,该系统可让操作员根据用户的动态运输需求在一天的不同时段之间在不同模式之间进行切换。我们对基础在线运输系统进行建模,并提出相应的车队管理框架,以处理模式,需求和命令。我们考虑两种循环模式,有轨电车和电梯模式,针对每种模式提出合适的在线算法,并从竞争分析和实际行为两个方面评估其性能。

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