车联网环境下交叉口车辆路径优化控制研究

发布时间：2018-05-04 20:40

本文选题：交叉口 + 车联网　；参考：《计算机仿真》2017年04期

【摘要】：在车联网及车辆自动驾驶背景下,研究了交叉口车辆路径控制问题。在定义交叉口分区控制的基础上,利用生成树方法遍历求解车辆可通行序列及安全通过组合,并引入人工蜂群算法求解变速区控制参数以提高运算效率,同时为防止结果陷入局部最优解利用滚动算法对模型进行优化。最后搭建交叉口仿真环境对相关模型进行验证,结果表明,车联网下车辆协同控制模型与现有的信号控制技术相比,能有效地提高交叉口的通行能力,显著降低车辆通过交叉口所需时间;同时,滚动优化下的车联网控制模型相较于无滚动优化的车联网控制效率进一步提升。
[Abstract]:Under the background of vehicle interconnection and automatic driving, the vehicle path control problem at intersections is studied. Based on the definition of intersection zoning control, the method of spanning tree is used to traverse the traversable sequence and safety combination, and artificial bee colony algorithm is introduced to solve the variable speed zone control parameters to improve the computational efficiency. In order to prevent the result from falling into the local optimal solution, the rolling algorithm is used to optimize the model. Finally, the simulation environment of intersection is built to verify the related models. The results show that the vehicle collaborative control model can effectively improve the traffic capacity of intersection compared with the existing signal control technology. At the same time, the vehicle network control model under rolling optimization is more efficient than the vehicle network control model without rolling optimization.
【作者单位】：西南交通大学交通运输与物流学院;
【基金】：国家自然科学基金资助项目(51308475) 四川省科技支撑计划资助项目(2011FZ0050)
【分类号】：U495

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