Parking-lot parking space predication and recommendation method based on real-time traffic query and cloud model

Abstract

The invention provides a parking-lot parking space predication and recommendation method based on a real-time traffic query and a cloud model. A system according to the parking-lot parking space predication and recommendation method comprises a real-time traffic query feedback module and an idle parking space predication module. At a parking-lot parking space predication aspect, a guiding meaning of a parking-lot idle parking space historical rule to predication is considered, real-time number change of parking spaces and in-future possible change factors are considered, thereby realizing self-adaptive predication on the number change of parking-lot parking spaces in short time, well preventing a predication error problem caused by a noise, and furthermore satisfying requirements for high predication accuracy and high real-time performance. The parking-lot parking space predication and recommendation method overcomes the problems of randomness, fuzziness and non-linearity in parking-lot parking space predication, greatly improving predication accuracy, facilitating settlement for a problem of high difficulty in vehicle parking in a city, alleviating traffic jams, facilitating balancing parking space utilization rates of the parking lots and improving parking space management efficiency of the parking lot.

Description

technical field [0001] The invention belongs to the technical field of data mining and information processing in smart city traffic systems, and specifically relates to the technology of predicting and recommending berths of parking lots in cities. Background technique [0002] As a means of transportation for the public, private cars play an important role in people's daily life and greatly expand the space and radius of people's activities. With the rapid increase of car ownership, people's demand for parking spaces in the city has risen sharply. However, due to the limited space available for parking in the city, there is a serious shortage of parking spaces. As the gap between the number of private cars and the number of parking spaces in the city continues to widen, it often occurs that due to incomplete information, when the driver drives to the parking lot at the destination, there is no vacant parking space in the parking lot, and it takes a long time Waiting for t...

AI Technical Summary

Problems solved by technology

[0006] In order to solve the problem of high prediction accuracy in the prior art parking lot vacant berth number prediction model, the amount of calculation is large, it is difficult to ensure the real-time and adaptability of short-term prediction, and the simple model cannot fit the actual number of berths well. , the predicti

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