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Personalized parking space recommendation method and system

A recommendation method, a technology for parking spaces, applied in directions such as character and pattern recognition, prediction, etc. to indicate various open spaces in the parking lot, which can solve the problem of ignoring the individual needs of drivers, difficulty in finding parking spaces that meet their own needs, and inaccurate goals, etc. problem, to achieve the effect of improving the parking success rate, low cost, and improving the success rate

Active Publication Date: 2019-01-11
NANJING UNIV OF POSTS & TELECOMM
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AI Technical Summary

Problems solved by technology

[0007] The present invention aims to solve the problem that it is difficult to find a parking space that meets one's own needs, and proposes a personalized parking space recommendation method and system to solve the problem that the target in the existing parking space recommendation algorithm is not accurate enough and the driver's individual needs are ignored

Method used

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  • Personalized parking space recommendation method and system
  • Personalized parking space recommendation method and system

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specific Embodiment

[0100] Another specific embodiment: a personalized parking space recommendation system, including:

[0101] Raw data collection module, used to collect raw data, the data includes the location L of the parking space, all the free parking spaces P within a circle with a specific radius where the parking space is located 0 , all parking spaces P within a circle with a specific radius where the parking spaces are located and the frequency of vehicle departure, the walking distance M between the parking space and the destination, the distance Dd between the parking space and the current position of the vehicle, the behavior plan i for the vehicle to the parking space K, and the travel route The traffic condition V, the parking fee F of the parking space;

[0102] The parking difficulty and safety index determination module is used to determine the parking difficulty index D and the parking safety index S of the parking space;

[0103] The parking success probability C calculation...

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Abstract

The invention discloses a personalized parking space recommendation method and a system. The method comprises the following steps: collecting an original data, and a minimum driving time Tk to reach the parking space, a parking fee F, a parking success probability C, a walking distance M from the parking space to the destination, a parking difficulty D to the parking space, and a parking space safety S which are calculated from the original data; performing cluster analysis by utilizing a K-MEDOIDS algorithm; selecting and matching the center point of each cluster after clustering with the preference weight value of a predetermined parking space; and recommending the parking space suitable for the driver to a specific driver. According to the personalized parking space recommendation method and the system, user-defined weight value and historical data adjustment weight value are introduced by fully considering the characteristic that different drivers have different parking needs; theaggregated cluster is higher in quality, and is closer to the demand of users by improving the Mahalanobis distance formula through the weight values.

Description

technical field [0001] The invention relates to a personalized parking space recommendation method and system, belonging to the technical field of traffic coordination control. Background technique [0002] At present, with the increase of private cars, people's demand for applications that use big data analysis to guide their own transportation and parking is increasing. Due to complex traffic conditions, relatively scarce parking space resources, insufficient timely and comprehensive information collection, and limited communication resources, personalized parking recommendations face greater challenges. However, with the development of big data, communication technology and Internet of Things technology, people's desire to meet their individual needs is gradually realized. [0003] At present, it is more common to recommend centralized parking spaces, presenting parking spaces as resources to users through static or dynamic billboards on the roadside, or guiding drivers ...

Claims

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Application Information

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IPC IPC(8): G08G1/14G01C21/36G06Q10/04G06K9/62
CPCG06Q10/04G08G1/14G01C21/3685G06F18/23213
Inventor 张登银杨小润丁飞王星昌童恩
Owner NANJING UNIV OF POSTS & TELECOMM
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