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Vehicle clustering algorithm for sharing information on traffic congestion

机译：共享交通拥堵信息的车辆聚类算法

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We present a method for clustering vehicles that are in the same congested traffic flow. Our goal is to provide a mechanism for sharing information between vehicles in the same situation to ease traffic congestion in urban areas. Because the most accurate source of information about the congested traffic flow is the vehicle at the head of the traffic flow, it first needs to be identified. To do so, we adapt a clustering algorithm by trajectory abstraction. By grouping the vehicles that have the same or similar trajectory into the same cluster, the vehicle at the tail of the traffic flow can discover the vehicle at the head of the traffic flow. Moreover, we adapt an abstracted trajectory representation to compensate for the error in GPS information. Simulation results show that the proposed algorithm provides a higher rate of correctness than existing commonly used clustering algorithms.
机译：我们提出了一种对交通拥堵程度相同的车辆进行聚类的方法。我们的目标是提供一种在相同情况下的车辆之间共享信息的机制，以缓解城市地区的交通拥堵。因为有关拥堵交通流的最准确信息源是交通流最前端的车辆，所以首先需要对其进行识别。为此，我们通过轨迹抽象调整了聚类算法。通过将具有相同或相似轨迹的车辆分组到同一集群中，位于交通流尾部的车辆可以发现位于交通流首部的车辆。此外，我们采用抽象的轨迹表示法来补偿GPS信息中的误差。仿真结果表明，与现有的常用聚类算法相比，该算法具有更高的正确率。

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