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An intelligent allocation method for shared bicycles based on vehicle demand prediction

A technology for shared bicycles and demand forecasting, applied in forecasting, neural learning methods, data processing applications, etc., can solve problems such as low dispatching efficiency and unreasonable dispatching, and achieve low dispatching costs, meet vehicle demand, and minimize dispatching costs Effect

Active Publication Date: 2022-06-03
北京瀚文智远信息技术有限公司
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  • Application Information

AI Technical Summary

Problems solved by technology

But it still has the problem of low scheduling efficiency and unreasonable scheduling, which has certain limitations

Method used

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  • An intelligent allocation method for shared bicycles based on vehicle demand prediction
  • An intelligent allocation method for shared bicycles based on vehicle demand prediction
  • An intelligent allocation method for shared bicycles based on vehicle demand prediction

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Embodiment Construction

[0052] According to an embodiment of the present invention, there is provided a method for intelligently deploying shared bicycles based on the prediction of vehicle demand.

[0060] Step S7, outputting how many bicycles each dispatcher transports from which grid to which grid.

[0064] First, the shared bicycle operation area is divided into a grid map g of m × m;

[0067]

[0069]

[0071]

[0072] Among them, μ(re) is the mean value of the precipitation of all the training data samples, σ(re) is the precipitation of all the training data samples

[0074]

[0076] The temperature temperature of the training data set is standardized as follows:

[0077]

[0079] The poi quantity poi of the training data set is standardized as follows:

[0080]

[0081] The cell number co of the training data set is standardized as follows:

[0082]

[0084] The normalized historical data and bicycle demand in step 2 are divided into a training data set and a test data set;

[0085] The training da...

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Abstract

The invention discloses an intelligent allocation method for shared bicycles based on vehicle demand prediction, which relates to the technical field of shared bicycle demand forecasting and dispatching, and includes the following steps: performing grid division on the shared bicycle operation area, and obtaining N-day training for each grid Data, standardize the data, divide the daily data by Δt (Δt≠0) minutes as a time slice, and input it into the LSTM to complete the forecast of the demand for bicycles in the grid. In order to balance the supply and demand of bicycles in the grid, the dispatcher Construct the objective integer programming model with the lowest cost, and output how many bicycles each dispatcher will transport from which grid to which grid. Compared with the general method of obtaining real-time demand by only using the current number of code-scanners, the present invention obtains accurate prediction results, so that the dispatcher can dispatch ahead of time, satisfying the needs of users for using cars, and improving the public awareness of shared bicycle companies. Evaluation and market competitiveness.

Description

An intelligent deployment method of shared bicycles based on the forecast of vehicle demand technical field The present invention relates to the technical field of shared bicycle demand forecasting and dispatching, in particular, to a kind of demand based on vehicle use Predicted intelligent deployment method of shared bicycles. Background technique [0002] Shared bicycles are gradually being widely used in the It can be used in a wide range of fields such as classes, college travel, entertainment and leisure, cycling and social interaction. However, with the investment of enterprise capital and the increase of users, a total of Some problems faced by the bicycle-sharing operation have gradually emerged. After the user rides the shared bicycle and stops, the bicycle will need to be There are fewer bicycles in places with high demand for bicycles, but more bicycles in places with low demand for bicycles. If the bicycles are not adjusted in time Matching, for bicycl...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/26G06N3/04G06N3/08
CPCG06Q10/04G06Q10/06311G06Q10/06315G06Q50/26G06N3/049G06N3/08G06N3/048Y04S10/50
Inventor 杜文硕应文吴晗
Owner 北京瀚文智远信息技术有限公司
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