Multimodal transport path optimization method considering uncertain conditions

Abstract

The invention discloses a multimodal transport path optimization method considering uncertain conditions. The multimodal transport path optimization method comprises the following steps: establishinga multimodal transport path optimization model under the uncertain conditions; utilizing a random simulation method and a powerful law to generate input and output data for training the RBF neural network model; inputting the uncertain transportation speed and transfer time generated by random simulation, and outputting expected delay punishment cost and an expected delivery time constraint valueby the trained RBF neural network model; and calculating a multimodal transport optimal path scheme under an uncertain condition based on a differential evolution algorithm. According to the method, the multimodal transport path scheme with the optimal expected total transport cost can be output under the condition that the cargo transport speed and the transport time are uncertain, the transporttimeliness and economy are improved, and decision support is provided for a transport enterprise to formulate a reasonable logistics path scheme.

Description

Technical field [0001] The present invention relates to the technical field of cargo multimodal transport and route planning, in particular to a method for optimizing multimodal transport paths under conditions of uncertain cargo transportation speed and transit time. Background technique [0002] With the prosperous development of urban economy and e-commerce, residents' logistics demand is increasing, and the business volume of the logistics industry has also surged. How to plan logistics transportation routes, improve cargo transportation efficiency, and realize the trade-off between transportation time and transportation costs is the main problem facing the current logistics transportation industry. Compared with a single mode of transportation, multimodal transportation of goods can reduce transportation costs by about 20% and increase the space utilization rate of freight vehicles by 63%. Therefore, the use of roads, railways, shipping and other transportation methods to d...

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Problems solved by technology

[0003] At present, most of the transportation mode selection and route optimization in the process of multimodal transportation are based on manual experience and prediction and decision with the help of historical logistics data. This method has certain limitations, and it is difficult to give full play to the benefits and advantages of comprehensive transportation.

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