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A freight demand simulation and prediction method, device and storage medium

A forecasting method and demand technology, applied in forecasting, data processing applications, instruments, etc., can solve problems that cannot reflect the impact of the economic development of industrial sectors on the flow of goods to freight demand

Active Publication Date: 2021-02-26
CHONGQING JIAOTONG UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Considering that there are differences in the economic development of each region, the existing basic data types and data integrity are different, the traditional transportation volume forecasting methods have certain applicability and limitations, and cannot reflect the economic development of various industrial sectors and various The impact of the flow of goods between regions on the demand for freight

Method used

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  • A freight demand simulation and prediction method, device and storage medium
  • A freight demand simulation and prediction method, device and storage medium
  • A freight demand simulation and prediction method, device and storage medium

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no. 1 example

[0030]The applicant's research found that with the continuous and rapid development of my country's economy, the economic exchanges between regions have increased, and the freight volume between regions is closely related to the various economic exchanges in each region. However, the traditional freight volume demand simulation method, Such as time series forecasting method, regression analysis method, system dynamics method and gray model method, etc., all have certain applicability and limitations. For example, for time series forecasting, less data series are required, the method is simple and easy to implement, and the short-term forecasting effect for the future is better, but it cannot reflect the actual factors that affect the change of transportation volume, and cannot cope with the transportation demand caused by external factors such as economic policies. Fluctuation; The system dynamics method can simulate the interaction between the regional freight system and econom...

no. 2 example

[0056] In order to cooperate with the freight demand simulation and prediction method provided in the first embodiment of the present invention, the second embodiment of the present invention further provides a freight demand simulation and prediction device 100 . Please refer to Figure 6 , Figure 6 A block diagram of a freight demand simulation and forecasting device provided by the second embodiment of the present invention.

[0057] The freight demand simulation and forecasting device 100 includes a calibration module 110 , a forecasted cargo value flow calculation module 120 and a freight demand simulation forecast calculation module 130 .

[0058]The calibration module 110 is used for calibrating the input-output line coefficient model based on the trade data between each department in the first region and each region in the base year.

[0059] Wherein, the value calculation module 110 includes a direct consumption coefficient calculation unit, a trade coefficient cal...

no. 3 example

[0066] In order to realize the above step counting method, the third embodiment of the present invention provides an electronic device 200 . Please refer to Figure 7 , Figure 7 It is a block diagram of an electronic device provided by the third embodiment of the present invention.

[0067] The electronic device 200 may include a freight demand simulation and prediction apparatus 100 , a memory 201 , a storage controller 202 , a processor 203 , a peripheral interface 204 , an input and output unit 205 , an audio unit 206 , and a display unit 207 .

[0068] The memory 201, storage controller 202, processor 203, peripheral interface 204, input and output unit 205, audio unit 206, and display unit 207 are electrically connected to each other directly or indirectly to realize data transmission or interact. For example, these components can be electrically connected to each other through one or more communication buses or signal lines. The freight demand simulation and forecas...

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Abstract

The present invention provides a freight demand simulation and prediction method, device and storage medium, and relates to the technical field of transport demand simulation. The freight demand simulation and prediction method is firstly based on the trade data between each department in the first region and each region in the base year, and the input-output line coefficient model is determined, based on the predicted gross regional product of the first region, using The input-output row coefficient model obtains the predicted value flow of goods in the first region, and then converts the predicted value flow of goods into the simulated forecasted quantity of freight demand in the first region. The method for simulating and predicting freight demand uses an input-output model to simulate and predict freight demand through the region's gross regional product, which improves the accuracy of freight demand simulation and prediction, and expresses the impact of national economic development on freight transport demand.

Description

technical field [0001] The present invention relates to the technical field of transportation demand simulation, in particular to a freight demand simulation and prediction method, device and storage medium. Background technique [0002] With the continuous and rapid development of my country's economy, the division of labor between regions is refined, the acquisition of various production factors and the marketing scope of products are expanding day by day, the demand for freight transportation in various regions is strong, and it is possible to accurately predict the future freight demand and the economic policy. It is of great significance to formulate and coordinate the rapid and coordinated development of regional economies. [0003] At present, there are many methods for simulating freight volume demand. The traditional methods mainly include time series forecasting, regression analysis, system dynamics and gray model. Considering that there are differences in the econ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q10/08
CPCG06Q10/04G06Q10/06315G06Q10/083
Inventor 李文杰杨胜发宋晨鹏杨威孟彩霞付旭辉肖毅韩宝宁
Owner CHONGQING JIAOTONG UNIVERSITY