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基于交通组织的物流园区功能区块布局
引用本文:孙焰,高源发.基于交通组织的物流园区功能区块布局[J].同济大学学报(自然科学版),2017,45(3):0369-0376.
作者姓名:孙焰  高源发
作者单位:同济大学 道路与交通工程教育部重点实验室, 上海 201804,同济大学 道路与交通工程教育部重点实验室, 上海 201804
摘    要:将物流园区内部交通网络和货车行驶时间引入布局模型中,并考虑货车通过交叉口的时间,构建了基于交通组织的物流园区功能区块布局模型.设计遗传算法,在染色体转化为布局方案后,抽象出内部交通网络,在全有全无交通组织的基础上计算车辆行驶时间,所得到的结果更符合实际要求.结果表明,相比现有模型,按该布局车辆行驶时间平均可以减少9.5%.

关 键 词:物流园区  功能区块布局  遗传算法  交通组织  货车行驶时间
收稿时间:2016/5/12 0:00:00
修稿时间:2017/1/12 0:00:00

Traffic Organization based Layout of Function Area in Logistics Park
SUN Yan and GAO Yuanfa.Traffic Organization based Layout of Function Area in Logistics Park[J].Journal of Tongji University(Natural Science),2017,45(3):0369-0376.
Authors:SUN Yan and GAO Yuanfa
Institution:logistics park; function area layout; genetic algorithm; traffic organization; truck travel time and logistics park; function area layout; genetic algorithm; traffic organization; truck travel time
Abstract:A new functional areas layout model was proposed, in which the traffic network in logistics park and travel time of trucks were involved. Meanwhile, the travel time in the intersection was also considered. Then genetic algorithm was designed to solve the model. With the chromosome based layout transformation and in accordance with the model, the traffic network was built so as to calculate the travel time of truck by all or nothing assignment. In this way, the result will meet the actual demand. The case study results indicate that the total truck travel time can be reduced by 9.5% on average in comparison with those acquired by the existing models.
Keywords:logistics park  function area layout  genetic algorithm  traffic organization  truck travel time
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