Parking Space Routing Using Real-Time Occupancy and Congestion Data
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Solution Overview
Problem
Current parking systems face inefficiencies and congestion due to the lack of precise and efficient routing of vehicles to available parking spaces, often relying on manual attendants or driver navigation, which can lead to increased time, fuel consumption, and pollution.
Innovation Solution
A system that aggregates parking data from various sources, such as GPS, cameras, and sensors to identify available spaces and compute ranked routes based on metrics like congestion and convenience, providing automated navigation to parking spaces and allowing for real-time reservation and payment management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If parking attendants are used to manually route drivers to parking spots, then drivers can be directed to available spaces, but the system becomes costly and imprecise due to coordination difficulties
Solution Approach 1:
The patent replaces the mechanical manual routing system with parking attendants using walkie-talkies with an automated electronic routing system. The system uses sensors to detect vehicle presence, processors to generate routing instructions, and transmitters to send these instructions to vehicle onboard systems, eliminating the need for human coordination while providing precise guidance to available parking spaces.
2Device complexity
If drivers navigate to parking spaces without attendants, then the system becomes simpler and less costly, but congestion and accidents increase due to lack of coordination
Solution Approach 1:
The patent implements a self-service parking routing system where vehicles autonomously receive and follow routing instructions to parking spaces. The system uses sensors to detect vehicle presence, processors to generate optimal routes, and transmitters to communicate routing data to vehicles, enabling drivers to navigate efficiently without manual attendance while maintaining high parking throughput and reducing congestion.
3Measurement precision
If real-time parking data is collected from multiple sources, then parking occupancy accuracy is improved, but data processing complexity and time increase
Solution Approach 1:
The patent combines multiple parking data sources including sensors, satellite imagery, and camera systems into a unified parking data structure. The system aggregates occupancy information from these diverse sources, processes the combined data through a centralized processor, and generates comprehensive routing instructions, achieving high accuracy in parking space availability detection while managing data complexity through integrated processing.
Data Source
AI summary
One or more techniques and/or systems are provided for parking space routing. For example, parking data for a parking region, such as a parking lot, may be obtained from one or more data sources (e.g., vehicle sensor data, a parking lot camera, parking meter transaction data, etc.). Routes from a current location of a vehicle to available parking spaces within the parking region may be computed. The routes may be ranked based upon various criteria, such as convenience, congestion, travel time, travel distance, a parking space fill order, etc. A route, having a rank above a threshold (e.g., a highest ranked route), may be provided to a driver of the vehicle, such as through a vehicle navigation unit, a mobile device, a wearable device, etc. The route may be provided to autonomous driving functionality of the vehicle for automatic routing and navigation of the vehicle to the parking space.