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Ant colony inspired algorithm for adaptive traffic routing

机译:蚁群启发式自适应交通路由算法

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In this paper we present a new dynamic nature inspired algorithm for the enhancement of routing in problematic parts of the road network affected by traffic jams, accidents and so on. The algorithm is intended to improve the quality of navigation in the critical sections of road network or in its parts affected by accidents. By the Ant Colony Algorithm we search for new up-to-date information characterizing each road in the network in or near the problematic area. We select start and end points and process the roads between them. The result of the optimization can be used for dynamic adaptation of the map information in traditional navigation systems.
机译:在本文中,我们提出了一种新的动态自然启发式算法,用于增强受交通拥堵,事故等影响的路网中有问题的部分的路线。该算法旨在提高道路网络关键部分或其受事故影响的部分中的导航质量。通过蚁群算法,我们搜索新的最新信息,以表征问题区域内或附近的网络中每条道路的特征。我们选择起点和终点,并处理它们之间的道路。优化的结果可以用于传统导航系统中地图信息的动态适配。

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