Mall Parking Recommendation Using Vehicle and Shopping Data
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Solution Overview
Problem
Existing parking systems in malls face inefficiencies such as the need for multiple guides, longer search times for parking spaces, inaccurate guidance, and lower parking accuracy, leading to reduced customer stickiness due to unsuitable parking and potential congestion.
Innovation Solution
A system that uses vehicle information, including size and license plate number, to determine member status and historical consumption patterns, recommending optimal parking spaces based on member preferences and shop locations, and providing guided paths to these spaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple guiding persons are employed to guide vehicles to park, then parking coverage and guidance availability are improved, but labor cost and operational complexity increase
Solution Approach 1:
The system enables vehicles to autonomously locate and navigate to parking spaces using onboard terminals that receive and process guidance information from the server, eliminating the need for human guiding persons to physically direct each vehicle
Solution Approach 2:
The patent replaces the mechanical system of human guiding persons with an automated information system comprising detection devices, servers, and vehicle terminals that automatically match vehicles with suitable parking spaces and provide navigation guidance
2Device complexity
If vehicles search for parking spaces manually without guidance, then system complexity is reduced, but parking time and operational duration increase
Solution Approach 1:
The system performs preliminary actions by pre-establishing a database of parking spaces with their characteristics (size, location, availability) and pre-matching vehicles with suitable spaces based on vehicle information before the vehicle even arrives at the parking area, enabling rapid guidance upon arrival
Solution Approach 2:
The system implements feedback mechanisms where the server continuously monitors parking space availability and vehicle arrival status, dynamically adjusting guidance information and re-matching vehicles with newly available spaces to minimize search time
3Ease of operation
If generic parking guidance is provided without considering vehicle characteristics, then system simplicity is maintained, but parking accuracy and suitability decrease
Solution Approach 1:
The system applies local quality by providing customized parking guidance to each vehicle based on its specific characteristics (size, type, price category) rather than generic guidance, matching each vehicle with a parking space that is locally optimal for its particular needs
Solution Approach 2:
The system changes parameters by considering multiple vehicle parameters (size, price, type) and matching them with corresponding parking space parameters (area, location, category) to achieve accurate matching while maintaining systematic operation through automated parameter comparison
Data Source
AI summary
A method for recommending parking is provided. The method obtains vehicle information of a vehicle. Where the vehicle information is provided with a price and a license plate number. The method further determines whether a member of a mall corresponding to the vehicle has a consumption record of the mall according to the license plate member of the vehicle. The method further determines historical consumption areas according to the consumption record of the mall if yes, and determines a target parking space of the vehicle according to the historical consumption areas. The method further determines target shops of the mall according to the price of the vehicle if not, and determines the target parking space according to an area where the target shops of the mall are located. The method further recommends the target parking space to the vehicle. An electronic device and a non-transitory storage medium are also disclosed.