针对集装箱堆场内作业车辆多,道路狭窄且数量有限的特点,提出了以道路资源为研究对象的思想,并给出了基于欧拉方法的集卡路径控制策略.详细论证了欧拉方法在集卡路径控制中的实现过程,定义了欧拉因子、距离因子和路径选择因子,使集卡能够从时间和空间两个方面预测堆场道路的畅通或阻塞趋势,从而选择较畅通且距离较短的路线行驶.实验表明,该方法能有效提高堆场作业效率,减少堆场作业时间.
When a small number of narrow paths are provided for many vehicles in a container yard, we put forward the idea of path-resource-oriented study, and introduce the Euler method for the routing control of vehicles. The Euler factor, distance factor and route-choosing factor are presented. By this method, we can predict paths in congestion and in passage-clear, so that a short and through path can be selected for the traveling vehicle. Experimental results show that both the congestion time and the total operational time can be reduced significantly.