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机构地区:[1]东北大学信息科学与工程学院,辽宁沈阳110004
出 处:《东北大学学报(自然科学版)》2009年第4期503-506,共4页Journal of Northeastern University(Natural Science)
基 金:国家自然科学基金重点资助项目(70431003;60521003;70771021);国家创新研究群体科学基金资助项目(60521003);国家支撑计划项目(2006BAH02A09)
摘 要:描述了Ye等建立的在集装箱堆场内作业车辆多、道路狭窄且数量有限的情况下,车辆如何选择行驶路径及提高堆场作业效率的模型.研究了堆场中集卡路径选择的控制与决策问题,提出了以道路资源为研究对象的思想,引入了欧拉方法,使堆场中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.实验结果表明,该方法的阻塞时间和总的作业时间均明显短于Ye等的策略,验证了该方法的有效性.Discusses the model or strategy developed by Ye et al for improving the production efficiency via container yard where only few narrow paths are provided for the lots of vehicles. Then, the Euler method is introduced into the path-resource-orientated study on the control and decision-making of vehicles' route choosing in a container yard. In this study whether a path is unimpeded or not can be predicted spatially and temporally for vehicles which will therefore travel along a path that is unimpeded and comparatively shorter. Testing results showed that the congestion time and total operational time will both be clearly shortened if the route is chosen according to the proposed strategy in comparison to that developed by Ye et al.
分 类 号:TP391.9[自动化与计算机技术—计算机应用技术]
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