Autonomous Vehicle Fleet Control Platform for Dynamic Routing
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Solution Overview
Problem
Conventional autonomous vehicles are sub-optimally designed, inefficient in resource usage, and poorly suited for managing inventory and navigation in dynamic environments, lacking effective self-driving capabilities and social interaction detection, which limits their safety and efficiency in transportation services.
Innovation Solution
A fleet of bidirectional autonomous vehicles equipped with advanced sensors and communication systems, capable of self-driving, teleoperation, and adaptive lighting, connected through an autonomous vehicle service platform that optimizes routing and resource management, enabling efficient and safe transportation services without the need for human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional autonomous vehicles are designed to accommodate a licensed driver, then the vehicle can be controlled manually when needed, but the vehicle design becomes sub-optimal and resource usage increases
Solution Approach 1:
The patent removes the driver's seat and manual control mechanisms from the vehicle, extracting only the essential autonomous driving functions. This eliminates the need to accommodate human drivers while reducing vehicle complexity and resource usage, as the vehicle is designed specifically for autonomous operation without unnecessary components.
Solution Approach 2:
The vehicle controller is designed to perform multiple functions including autonomous navigation, obstacle detection, path planning, and communication with external systems. This multi-functional approach replaces the need for separate manual control systems, achieving adaptability without requiring physical components for human operation.
2Reliability
If conventional autonomous vehicles require manual steering mechanisms, then human control is possible, but safety-critical functions may fail and require driver intervention
Solution Approach 1:
The vehicle is designed to autonomously handle all driving functions including safety-critical operations without requiring human intervention. The controller continuously monitors the environment, plans paths, and executes maneuvers independently, making the system self-sufficient and eliminating the need for driver backup control.
Solution Approach 2:
The vehicle incorporates continuous feedback loops where sensors monitor the environment, the controller processes this information, and adjustments are made in real-time. This closed-loop control system enhances reliability by constantly adapting to changing conditions without requiring manual intervention.
3Adaptability or versatility
If ride-sharing services use differently-owned vehicles, then service flexibility is improved, but maintenance and safety systems go unchecked
Solution Approach 1:
The vehicle controller continuously monitors system status, sensor functionality, and operational parameters, providing real-time feedback on vehicle health and safety systems. This enables proactive detection of maintenance needs and ensures safety systems remain functional, regardless of vehicle ownership or usage patterns.
Solution Approach 2:
The patent replaces manual inspection and maintenance checks with automated sensor-based monitoring and diagnostic systems. The controller tracks component wear, sensor performance, and system integrity, substituting human maintenance routines with automated detection and reporting mechanisms.
4Quantity of substance
If conventional transportation services use traditional vehicles, then vehicle availability is high, but inventory utilization is poor and rebalancing is difficult
Solution Approach 1:
The autonomous vehicle system dynamically adjusts its operations based on real-time demand patterns, routing, and inventory distribution. Vehicles can autonomously relocate to high-demand areas, adjust scheduling, and optimize utilization without manual intervention, enabling flexible inventory management and improved productivity.
Solution Approach 2:
The vehicle controller acts as an intermediary between the fleet management system and individual vehicle operations, receiving high-level directives about inventory distribution and translating them into autonomous navigation and scheduling decisions, optimizing overall fleet utilization.
Data Source
AI summary
Various embodiments relate generally to autonomous vehicles and associated mechanical, electrical and electronic hardware, computer software and systems, and wired and wireless network communications to provide an autonomous vehicle fleet as a service. In particular, a method may include identifying a location of a user device associated with a user, transmitting a command to an autonomous vehicle system associated with an autonomous vehicle service to transit to the location, and providing information associated with the user device to the autonomous vehicle system, where the information includes configuration data to adapt one or more sub-systems of the autonomous vehicle. Sub-systems of the autonomous vehicle may include interior lighting, ambient sound, road handling, seating configuration, communication synchronization, and temperature control systems.