基于遗传算法的城市交通应急车辆控制

M. Pătrașcu, Vlad Constantinescu, Andreea Ion
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引用次数: 7

摘要

应急人员通常可以从基于持续交通监控和复杂决策的路线规划系统中受益,通过协助应急单位及时到达受害者身边,寻求给受害者带来另一丝希望。主要的挑战是在规定的时间框架内,在不断变化的环境中提供响应,同时使用有限的资源和信息,这些资源和信息往往是不完整或不确定的。本文提出了一种应急车辆通过城市交通的路径控制概念。所提出的遗传控制器能够在车辆通过路网时动态地重新评估路线,并根据当前交通状况不断生成新的路线。在一个包含交通参与者和分布式交通控制系统的基于智能体的仿真模型中对该算法进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Controlling Emergency Vehicles in Urban Traffic with Genetic Algorithms
Emergency officers could often benefit from a route planning system that is based on constant traffic monitoring and complex decision making, seeking to give victims another breath of hope by assisting emergency units with reaching them on time. The main challenge is providing responses in a continuously evolving environment within a prescribed time frame, while using limited resources and information that is often incomplete or uncertain. This paper presents a route control concept for emergency vehicles through urban traffic. The proposed genetic controller is designed to dynamically reassess the route while the vehicle passes through the road network, continuously generating new routes based on current traffic. The algorithm is tested in an agent based simulation model that includes both traffic participants and a distributed traffic control system.
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