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Clustered swarm: a live swarm-based traffic load balancing algorithm against traffic jams

机译:集群集群:基于实时集群的交通负载均衡算法

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摘要

Traffic jam. A phenomenon representing one of the biggest and most interesting problems of the 21st century. More than 60% are caused by too many vehicles using the common resource ‘road’. General countermeasures and individual route calculation approaches could not solve the problem until now and can even cause traffic jams under certain circumstances. Current research and developments in the area of mobile communication and car-IT like vehicle to vehicle communication open up new perspectives in the fight against the expected traffic gridlock. This study introduces a concept and a first implementation of a live swarm-based algorithm which pursues the aim of a global traffic optimisation by performing a massive load balancing of all road participants to improve the individual routes for the users and thereby represents a potential solution for the traffic jam problem.
机译:交通阻塞。代表21世纪最大,最有趣的问题之一的现象。超过60%的原因是使用公共资源“公路”的车辆过多。到目前为止,一般的对策和单独的路线计算方法都无法解决问题,甚至在某些情况下甚至可能导致交通阻塞。在移动通信和车载IT(如车对车通信)领域的当前研究与发展为与预期的交通拥堵作斗争提供了新的视角。本研究介绍了一种基于实时群算法的概念和第一个实现,该算法通过对所有道路参与者执行大规模负载平衡以改善用户的单个路线来追求全球交通优化的目标,从而为用户提供了一种潜在的解决方案。交通堵塞问题。

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