Parking recommendation method and application thereof

Abstract

The invention relates to a parking recommendation method and application thereof. The scheme comprises the following steps: acquiring a destination of a user, travel plan information and user preference; determining at least one alternative parking lot library in a destination setting range according to the destination; determining the predicted arrival time of the user arriving at each alternative parking lot library; screening out a target parking garage in the ideal walking time interval of the user according to the predicted arrival time, and calculating the walking distance between the target parking garage and the destination; determining parking feasibility data of each target parking lot library; determining parking cost performance data of each target parking lot library; and sorting the target parking lot library based on user preferences in combination with the walking distance, the parking feasibility data, the parking cost performance data and the target parking lot library error tolerance data. According to the method, related parking lot libraries, user behaviors, historical congestion and the like in the parking field are fully developed and utilized, so that effective recommendation of parking lots for planned travel is met, and the situation of parking difficulty in hot areas is relieved.

Description

technical field [0001] The invention relates to the technical field of urban smart parking, in particular to a parking recommendation method and its application. Background technique [0002] Parking difficulties have long been a common problem in major cities. Therefore, the smart parking industry has become a good solution to improve the parking environment and meet the parking needs. Smart parking is an inevitable choice for local governments, enterprises and the public to achieve win-win results. It is also the only way to optimize the allocation of social resources, enhance the image of the city, promote industrial upgrading and promote the construction of an ecologically civilized city. It has a good development prospect. From the user's point of view, users will plan their travel time and destination before traveling, but they cannot know the parking spaces around the future destination, resulting in difficult and tired parking, especially around hospitals and busine...

AI Technical Summary

Problems solved by technology

[0003] However, at present, urban smart parking is still in the stage of exploration and development. At this stage, cities only use parking garages for data access. Urban parking operation companies are paying more and more attention to data. How to effectively use massive parking data and tap the value of data , Solving the current situation of difficult parking, disorderly parking, and many illegal parking is their most concerned issue

On the one hand, with the development of city-level parking, citizens’ needs for planned travel are becoming increasingly clear, and real-time recommendations cannot meet users’ needs. For example, when making parking recommendations in the past, they can only be defined at the current time and cannot meet future plans. For travel scenarios, we can only start with the real-time data of the remaining berths in the current yard, and lack the use of forecast data. Therefore, it is necessary to combine the characteristics of planned travel, including travel time, destination, personal parking habits, driving distance, etc. Another On the one hand, a more reasonable and objective method is needed to effectively recommend suitable parking lots and alleviate parking difficulties

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