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针对城市道路车辆密集的特点,利用LTE-V定期发送位置信息的机制,提出了一种快速收敛的蚁群优化算法,通过确定节点选择带的预处理方法,减少了参与蚁群优化节点的数量,进而了提高算法的收敛速度。同时,在信息素初始值设定中,低概率增加选择带以外的节点的参与程度,降低了蚁群优化不能收敛的风险。仿真结果显示,优化后的蚁群算法,收敛速度获得显著提升。
Aiming at the characteristics of dense urban road vehicles, this paper proposes a fast convergence ant colony optimization algorithm by utilizing the mechanism of LTE-V periodically sending location information. By determining the pre-processing method of node selection band, the number of nodes involved in ant colony optimization is reduced , And then to improve the convergence rate of the algorithm. At the same time, in the setting of pheromone initial value, the probability of nodes outside the selection band is increased with a low probability, which reduces the risk that ant colony optimization can not converge. Simulation results show that the optimized ant colony algorithm can significantly improve the convergence speed.