Dynamic Stowage Optimization Of Vehicles And Cargoes In Road Freight Yard Considering Loading Options

Since the 1990s,China’s social and economic progress.Logistics industry is also developing rapidly,and the scale of freight is expanding.In recent years,the total freight volume trend of China has been improving.By 2020,the freight volume of our country reach 463.4 × 10~8t,of which,road transportation as the most common of the five modes of transportation,will occupy more than 70% of the total transportation per year.With the implementation of the national "a country with strong transportation network" strategy,road freight yard,as the hub and key node in road transportation,should reasonably formulate the stowage plan for the corresponding freight tasks while improving its hardware facilities.However,most of the freight yard staff still rely on their accumulated experience to complete the cargo distribution and transportation of the stowage plan arrangement.Its accuracy and rationality can not be guaranteed,and indirectly causing the waste of human and material resources in the yard.The traffic jam caused by the increasing of urban vehicles will also make the yard unable to accurately grasp the travel time information of the turnover vehicle,which will bring inconvenience to the arrangement of vehicles and cargos stowage.In the case of the freight yard in batches to arrange the freight vehicles for transportation tasks,this paper makes the corresponding optimization research on the vehicle-cargo stowage of the yard.In terms of the prediction of the turnover vehicles travel time,this paper selects the BP neural network model which is commonly used at present,and brings the historical data of the travel time of the corresponding sections and the delay time of the corresponding intersections into the training,and obtains the prediction results of the return time of the freight vehicles dispatched in each period.Next,dynamic vehicle-cargo stowage optimization is carried out for each departure period.Firstly,the vehicle resources of each period are counted.Considering the influence of the return vehicles and maintenance factors,taking the minimum number of vehicles required as the objective function,the initial stowage optimization model was established for the remaining vehicles and cargos in the yard,and the initial stowage optimization scheme of each stage was obtained by solution multiplier method.Then,considering the actual warehouse yard,handling equipment,personnel restriction and the number of drivers and vehicles that can participate in transportation in each time,the initial stowage scheme is further optimized from the perspective of loading priority.Taking the maximum number of vehicles that can be sent on the basis of existing restrictions as the objective function,the transportation batches and the completion time of the whole task can be reduced as far as possible,and the dynamic loading scheme of vehicles and cargos at each final stage is presented through the selected greedy strategy.Finally,the paper uses Matlab software to program and solve the above model algorithm,and proves the effectiveness of the greedy strategy by the intlinprog function.The results show that the dynamic loading results can effectively save the freight resources in the yard and assist the yard to make reasonable dispatch arrangement,so that the spare vehicles can better serve other transportation tasks,reduce the waste of manpower and material resources,and improve the economic benefits of the yard.