基于密度聚类的商用车编队策略

Commercial vehicle formation strategy based on density clustering

编队过程增加的油耗小于队列运行降低的油耗时车辆编队行驶总油耗才会降低。为了形成具有节油潜力的商用车队,提出了基于密度聚类的商用车编队策略。首先,使用Trucksim中的商用车模型采集油耗数据,通过拟合建立等效油耗模型并转化到距离域内进行了简化;其次,利用两车编队优化问题获得具有节油潜力的编队标准;然后,在密度聚类中使用该标准将分散的商用车聚类为子车队簇,定义等效油耗最优函数确定最终整体队列形式。最后,通过联合仿真验证了本文提出的编队策略在编队节油方面的有效性与优越性。

The total fuel consumption will only decrease when the increased fuel consumption during formation is less than the reduced fuel consumption during platoon operation. In order to form a commercial vehicle platoon with fuel saving potential, this paper proposes a density clustering based commercial vehicle formation strategy. First, the commercial vehicle model in Trucksim was used to collect fuel consumption data, and an equivalent fuel consumption model was established through fitting and simplified in the distance domain;Second, utilizing the optimization problem of two vehicle formation to obtain formation standards with fuel saving potential;Then, in density clustering, the dispersed commercial vehicles are clustered into sub platoon clusters using this standard, and the optimal equivalent fuel consumption function is defined to determine the final platoon form. Finally, the effectiveness and superiority of the formation strategy proposed in this paper were verified through co-simulation.