基于仿真和蚁群算法的公交动态交通规划研究

针对越来越复杂的道路交通系统，研究其中的动态交通规划问题。以达到对交通进行合理规划的目的。采用计算机仿真技术构建动态交通规划模型，应用蚁群算法解决基于仿真的动态交通规划优化问题。在所建模型的基础上，通过蚁群算法进行求解。实验结果令人满意。仿真方法可以将普通动态交通规划模型无法反映的随机因素考虑在内，使得动态交通规划的结果更加具有现实中的指导意义。将优化技术嵌入到仿真过程中。在仿真环境下使输出响应不断地得到改进，从而实现道路交通系统性能的优化。数据实例表明，该方法是正确的、可行的、有效的，可以为实际的道路交通规划提供有力地决策支持。

Bus Dynamic Traffic Planning Based on Simulation and Ant Colony Algorithm

Aimed at the more complex road traffic system, the paper investigates its dynamic traffic planning problem for the purpose of rational planning of the traffic. It constructs a dynamic traffic planning model based on computer simulation technology, and then applies the ant colony algorithm to solve the optimization problem of the dynamic traffic planning model. Based on the model of road traffic system, through the solving by ant colony algorithm, the final experiment result is satisfactory. Dynamic traffic planning based on simulation can include many random factors, which are out of the reach of common dynamic traffic planning models. It is more suitable for the fact, so it is more useful for the practical requirements. It integrates the optimization technology into simulation process, improves the output continually in the simulation environment and achieves the optimization of system performance finally. The numerical example suggests that this method is correct, feasible and effective and it can provide resuhful decision support to the practical road traffic planning.