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Development of Road Freight Transportation Distribution Model Based on Vehicle Transportation Inter Zone Requirement

机译:基于车辆运输间跨区域要求的道路货运分配模型的发展

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The distribution of road transport goods has the characteristics determined from the commodity and supply chain system of the commodity to be transported. Leading export commodities have an important role in regional economic growth and the drivers of national economic stability. Coffee commodity is one of the main export commodities that have significant economic value in international trade. To support the economic value of better coffee commodities, a more efficient distribution system is needed from the distribution system of coffee commodity production and trade in the coffee commodity production zone to the destination zone. The revenues of coffee commodities are estimated to be based on demographic variables, the condition of road infrastructure and transport vehicles. Production zones of coffee commodity crops have characteristics that develop according to the condition of road infrastructure in the zone. Interactions between production zones use gravity modeling with the loading of transport networks based on the goods traffic in accordance with the dominant characteristics used in transporting the commodities. The development of a freight transportation distribution model with the Breadth-First Search algorithm has the objective to consolidate the interaction of goods transport supply and demand within a zone to determine the efficiency of the traffic load on the road network system. So that the time of coffee commodities distribution will be faster in the destination zone in accordance with the volume of commodity production and the number of available transport vehicles.
机译:公路运输商品的分配具有从要运输的商品的商品和供应链系统确定的特征。领先的出口商品在区域经济增长和国家经济稳定的司机中具有重要作用。咖啡商品是国际贸易中具有重大经济价值的主要出口商品之一。为了支持更好的咖啡商品的经济价值,需要一种更有效的分销系统,从咖啡商品生产区的咖啡商品生产和贸易分配系统到目的地区。估计咖啡商品的收入是基于人口变量,道路基础设施和运输车辆的状况。咖啡商品作物的生产区具有根据该区域道路基础设施条件开发的特点。生产区之间的相互作用使用重力建模与根据货运量的运输网络负载,根据用于运输商品的主要特征。具有广度第一搜索算法的货运分配模型的开发具有巩固货物运输供应和需求在区域内的交互,以确定道路网络系统的交通负荷效率。因此,咖啡商品分布的时间根据商品生产量和可用运输车辆的数量,目的地区将更快。

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