Autonomous Vehicle Parking Coordination System
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Solution Overview
Problem
Urban parking is inefficient due to selfish driver behavior, scarcity of prime parking spots, and lack of incentives for optimal parking arrangements, which autonomous and shared vehicles aim to address.
Innovation Solution
A system that monitors the locations of autonomous and shared vehicles, generates instructions for them to vacate or relocate to optimize parking by selecting vehicles based on user requests and geographic locations, using GPS and mobile devices to manage parking spaces and provide incentives for efficient parking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If drivers select parking spots based on selfish behavior, then individual drivers can secure convenient parking, but overall parking efficiency deteriorates and prime spots become scarce
Solution Approach 1:
The system introduces a central server as an intermediary that coordinates parking spot allocation between individual drivers and the overall parking system. The server receives requests from multiple drivers, monitors vehicle locations, and makes centralized decisions about which vehicles should move or park where, replacing the selfish individual decision-making process with a coordinated system that optimizes overall parking efficiency while still providing convenient parking for individual users.
2Reliability
If drivers take multiple parking spots or park inefficiently, then individual drivers ensure available parking, but parking spot utilization deteriorates
Solution Approach 1:
The system implements continuous feedback loops where the server monitors the locations of all monitored vehicles, tracks parking spot occupancy in real-time, and uses this information to make dynamic allocation decisions. The server can see when spots are underutilized or when vehicles are blocking access, and adjusts assignments accordingly to maintain both individual parking availability and overall spot utilization efficiency.
Solution Approach 2:
The parking allocation system is dynamic rather than static. The server continuously receives requests, monitors vehicle movements, and adjusts parking assignments in real-time. Vehicles can be instructed to move from one spot to another based on changing conditions, allowing the system to adapt to varying demand patterns and maintain optimal utilization while ensuring parking availability for individual users who need it.
3Productivity
If autonomous vehicles are used for parking optimization, then parking efficiency improves through centralized control, but system complexity increases
Solution Approach 1:
The system instructs autonomous vehicles to self-service by moving themselves to designated parking spots without requiring manual intervention. The server sends instructions to the autonomous vehicles' control systems, and the vehicles autonomously execute the parking maneuvers, reducing the operational complexity for human operators while maintaining high parking optimization efficiency through centralized coordination.
Data Source
AI summary
Parking spaces are optimized by orchestrating the movement of one or more autonomous vehicles or shared vehicles. A computing device monitors locations of multiple vehicles. The computing device receives a request for a parking space from a user at or in route to a geographic location. The computing device selects one of the monitors vehicles based on the geographic location of the parking request. The computing device generates an instruction to make available a parking space of the selected one of the vehicles. In the case of autonomous vehicles, the vehicle drives away from the parking space. In the case of shared vehicles, a rental appointment is modified to make the parking space available.