Public bicycle dynamic scheduling method based on site short-term demand prediction

A public bicycle and demand forecasting technology, applied in forecasting, instrumentation, business and other directions, can solve the problems of insufficient scheduling accuracy, backward technical means, insufficient accuracy, etc., to ensure high efficiency and accuracy, improve service levels, and enhance attractiveness. force effect

Inactive Publication Date: 2017-03-15
SOUTHEAST UNIV
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AI Technical Summary

Problems solved by technology

In reality, the way of dispatching through manual inspection is outdated in technical means, insufficient in accuracy, and low in efficiency, and it is difficult to meet the dispatching needs of peak periods
The traditional scheduling method lacks real-time prediction of the demand for public bicycles at the site, and

Method used

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  • Public bicycle dynamic scheduling method based on site short-term demand prediction
  • Public bicycle dynamic scheduling method based on site short-term demand prediction
  • Public bicycle dynamic scheduling method based on site short-term demand prediction

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Embodiment Construction

[0043] In conjunction with the accompanying drawings and embodiments, the technical solution of the present invention is described in detail as follows:

[0044] The present invention is a public bicycle dynamic scheduling method based on short-term demand forecasting, and the specific forecasting process is as follows:

[0045] 1) Obtain the time series of free piles at the site

[0046] Taking a public bicycle station in Ningbo as an example, the number R of public bicycle rental at the station during the two weekdays from May 12 to May 23, 2014 was collected at an interval of 10 minutes t and the returned quantity H t , t=1,2,...,T, T=720, then the number of idle piles at the public bicycle station at the end of each time period is K t can be expressed as K t =K t-1 -H t +R t , so as to get the time series K=﹛K of the number of idle piles at public bicycle stations from May 19th to May 23rd 1 , K 2 ,...,K 720 ﹜; use K lt Indicates the number of free piles at the s...

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Abstract

The invention discloses a public bicycle dynamic scheduling method based on site short-term demand prediction. The method comprises the steps of collecting a site free pile number time sequence, constructing a neural network model to predict the short-term demand of each site, calculating the scheduling time window and demand on the basis, constructing a dynamic scheduling model minimizing the cost of scheduling and maximizing satisfaction, solving a scheduling scheme, and adjusting the scheduling plan through information updating. By combining site short-term demand prediction and dynamic scheduling, the efficiency and accuracy of public bicycle scheduling are ensured, the service level of public bicycles is improved, and public bicycles are made more attractive.

Description

technical field [0001] The invention belongs to the field of intelligent dispatching of public bicycles, and relates to a dynamic dispatching method of public bicycles based on short-term demand prediction of stations. Background technique [0002] With the acceleration of the urbanization process, the travel needs of residents have become more diversified, which has promoted the rapid development of motorization. However, the rapid increase in the number of motor vehicles has brought about a series of problems such as urban traffic congestion, noise, and environmental pollution, which have restricted sustainable development of cities. In order to solve the problem of urban transportation, it has become a broad consensus of the whole society to give priority to the development of urban public transportation. The whole transportation service, public bicycle therefore arises at the historic moment. [0003] "Public bicycle" refers to a means of transportation in which the go...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q30/06G06Q50/30
CPCG06Q10/04G06Q30/0645G06Q50/30
Inventor 季彦婕曹雪柠曹先琦
Owner SOUTHEAST UNIV
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