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Method for determining sharing time window of accessory parking space of public building based on actual measurement data

A technology of measured data and shared time, applied in data processing applications, forecasting, instruments, etc., can solve the problem of the difficulty in effectively guiding the specific implementation of parking sharing management measures, the lack of the best time for parking lot opening and sharing, and the quantitative determination of the length of opening time Methods and other issues

Active Publication Date: 2017-01-04
SOUTHEAST UNIV
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] At present, the qualitative research on the sharing of parking spaces for public buildings is mainly focused on the feasibility of sharing and sharing parking models. There is a lack of the best time to determine the opening and sharing of parking lots and the quantitative determination of the length of the opening time. It is difficult to provide effective guidance. The specific implementation of parking sharing management measures

Method used

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  • Method for determining sharing time window of accessory parking space of public building based on actual measurement data
  • Method for determining sharing time window of accessory parking space of public building based on actual measurement data
  • Method for determining sharing time window of accessory parking space of public building based on actual measurement data

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Experimental program
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Embodiment Construction

[0053] The present invention will be further described below in conjunction with the accompanying drawings.

[0054] 1. Historical measured data collection and parking demand forecasting

[0055] Collect historical parking lot occupancy over time for more than one day, and make statistics at a frequency of every half hour as a historical parking demand data. Then based on the historical data, parking demand is forecasted using time series forecasting methods.

[0056] Time series forecasting of parking demand proceeds in the following steps:

[0057] (1) Arrange all the historical berth occupancy data collected in chronological order as the original time series.

[0058] (2) Time series stationarity test

[0059] Perform a stationarity test on the original time series formed by the data. If the data is a stationary sequence, pass the test and go to the next step; if the data is a non-stationary sequence, first perform a difference operation until it passes the stationarity te...

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Abstract

The invention discloses a method for determining a sharing time window of an accessory parking space of a public building based on actual measurement data. The method comprises the steps: firstly collecting the actual measurement data, and carrying out the parking demand prediction through employing a time sequence method; secondly determining the maximum demand peak value according to a prediction result; thirdly determining the minimum number of parking spaces, so as to determine a nonenforceable sharing time period which does not meet the requirements of the minimum number of parking spaces; and finally determining the sharing time window of parking spaces according to the minimum sharing time duration. The method provided by the invention does not affect the parking demands of the public building on the basis of historical actual measurement data, and can provides references for the design of a public building parking space sharing scheme.

Description

technical field [0001] The invention belongs to the field of urban parking and traffic management, and relates to a method for determining a shared time window of a parking space in a public building based on measured data. Background technique [0002] With the continuous acceleration of urbanization, the number of motor vehicles owned by urban residents continues to increase. While the demand for parking continues to grow, the growth rate of the total supply of new parking spaces in cities lags behind the growth rate of motor vehicle ownership, especially in urban centers where parking demand is concentrated, and the imbalance between supply and demand is more prominent. [0003] The development intensity of land in the central area of ​​the city is high, the demand for parking is large, and there is a serious shortage of parking spaces during peak parking hours. However, the land use in the urban center is often mixed development, different types of buildings have differ...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/26
CPCG06Q10/04G06Q10/06315G06Q50/26
Inventor 陈峻刘志广杨琦吴炜光
Owner SOUTHEAST UNIV
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