Traffic congestion is one of the main concerns of citizens living in big cities. In this article we propose a novel system, called Yellow Swarm, with the aim of improving road traffic at a low cost and easy implementation by using a set of LED panels placed throughout the city in order to spread road traffic over its streets. The system is optimally configured by a new epigenetic algorithm which calculates the time slots for each suggested detour shown in the panels. Yellow Swarm was tested on three scenarios of the city of Malaga, Spain, using the real city layout and actual traffic flows calculated by our flow generator algorithm with data published by the city’s authorities. Our results show shorter average travel times (up to 19 s) and a reduction of greenhouse gas emissions (up to 4.5%) and fuel consumption (up to 1.6%), which have been achieved without increasing the maximum travel times (reduced by 205 s). Yellow Swarm, as a distributed traffic management system in the city, represents a major improvement that benefits drivers on long trips by reducing travel times and preventing traffic jams.

交通拥堵是大城市居民的主要担忧之一。在本文中，我们提出了一种名为 Yellow Swarm 的新型系统，其目的是通过使用一组放置在整个城市的 LED 面板以低成本和易于实施来改善道路交通，从而将道路交通分散到街道上。该系统通过新的表观遗传算法进行优化配置，该算法计算面板中显示的每个建议绕行的时间段。Yellow Swarm 在西班牙马拉加市的三个场景中进行了测试，使用我们的流量生成器算法计算出的真实城市布局和实际交通流量，以及城市当局发布的数据。我们的结果表明，平均旅行时间更短（最多 19 秒），温室气体排放量（最多 4.5%）和燃料消耗（最多 1.6%）减少，这是在不增加最大旅行时间（减少 205 秒）的情况下实现的。Yellow Swarm 作为城市中的分布式交通管理系统，代表了一项重大改进，通过减少旅行时间和防止交通拥堵，使长途旅行的司机受益。