Parking Area Recommendation Using Occupancy Data
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Solution Overview
Problem
Current parking space recommendation methods primarily focus on distance from entrances and elevators, failing to accurately recommend optimal parking areas due to considering only a single factor, leading to a poor parking experience for users.
Innovation Solution
A method and apparatus that determine parking space occupancy data for a target parking lot and select a target parking area from candidate areas based on this data, using a parking area recommendation model trained on historical parking behaviors to improve recommendation accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If parking space recommendation is based only on distance from entrance and elevator, then the recommendation system is simple to implement, but the recommendation accuracy is low
Solution Approach 1:
The parking lot is segmented into multiple candidate parking areas, and the recommendation system processes each area separately based on occupancy data, enabling more accurate recommendations without overwhelming system complexity
Solution Approach 2:
The system transitions from considering only spatial distance (one dimension) to incorporating occupancy data (another dimension), creating a multi-dimensional recommendation approach that improves accuracy while maintaining manageable complexity through structured data processing
2Ease of operation
If only distance factors are considered for parking recommendation, then the system is easy to operate, but the parking experience is poor
Solution Approach 1:
The system automatically collects and processes occupancy data from various sources without requiring user input, maintaining ease of operation while improving reliability through comprehensive data-driven recommendations
Solution Approach 2:
The system incorporates real-time occupancy feedback into recommendations, continuously improving parking experience quality while keeping the interface simple and easy to use for drivers
Data Source
AI summary
Provided are a parking area recommendation method and apparatus, an electronic device, and a medium. The parking area recommendation method includes: determining parking space occupancy data of a target parking lot; and selecting a target parking area from a plurality of candidate parking areas of the target parking lot according to the parking space occupancy data, where each candidate parking area includes at least two parking spaces.