Autonomous Vehicle Storage Routing for Congestion Control
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Solution Overview
Problem
There is a need for efficient and convenient solutions to manage and store autonomous vehicles during low usage hours or recharging, as existing systems lack comprehensive control over traffic and vehicle management, leading to congestion and inefficiencies in metropolitan areas.
Innovation Solution
A computer-implemented method and system that utilizes a server with storage facilities and preference databases to facilitate the storage of autonomous vehicles by determining a preferred storage facility based on the vehicle's location and user preferences, generating vehicle control instructions for navigation, and integrating with third-party service providers for maintenance and charging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If autonomous vehicles operate independently without centralized coordination, then vehicle autonomy is maintained, but traffic congestion and inefficiency increase in metropolitan areas
Solution Approach 1:
A centralized server acts as an intermediary between autonomous vehicles and storage facilities. The server receives location data from vehicles, determines optimal storage facilities based on multiple factors, and generates navigation instructions. This mediator coordinates vehicle-stORAGE facility interactions without requiring complex direct communication between vehicles and multiple facilities, thereby improving overall system efficiency while managing complexity centrally.
2Ease of operation
If autonomous vehicles are stored at nearest available facilities, then storage accessibility is improved, but user preferences and specific requirements are not considered
Solution Approach 1:
The system determines storage facility selection based on location-specific factors including user preferences, vehicle requirements, and facility characteristics. The server evaluates multiple storage facilities and selects the most appropriate one by considering local conditions such as user-defined preferences, vehicle type, and facility capabilities, rather than simply choosing the nearest facility. This ensures both accessibility and adaptability to specific needs.
3Productivity
If centralized server controls all autonomous vehicle navigation, then traffic congestion is reduced, but system response time and communication overhead increase
Solution Approach 1:
The server proactively determines optimal storage facilities and generates navigation instructions before vehicles arrive at decision points. By calculating routes and providing instructions in advance based on current vehicle locations and predicted storage facility availability, the system reduces real-time decision delays and maintains efficient traffic flow without requiring lengthy communication exchanges at critical moments.
Data Source
AI summary
Systems and methods for facilitating storage of an autonomous vehicle (“AV”) in a storage facility are disclosed. A server receives a storage request from an electronic device and retrieves a set of available storage facilities stored in a storage facilities database. The server obtains a current location of the AV and determines a preferred storage facility of the set of available storage facilities based in part on the current location of the AV and a set of storage preferences stored in a storage preference database. The server generates a set of vehicle control instructions based on a location of the preferred storage facility and the location of the AV, and transmits the set of vehicle control instructions to the AV causing the AV to navigate to the preferred storage facility from the current location of the AV.


