Central Fleet Operations for Real-Time Autonomous Vehicle Dispatch
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Solution Overview
Problem
The lack of standardization in autonomous vehicles limits the ability of transportation networks to remotely monitor and dynamically control fleets, affecting operational efficiency, safety, and quality of service.
Innovation Solution
The Autonomous Vehicle Enhancement System (AVES) includes a Central Operations Center (COC) that communicates with vehicle equipment and user applications, utilizing AI and a knowledge base to monitor and manage autonomous vehicles, optimize distribution, assign vehicles to users, and dynamically adjust routes and standby locations based on real-time data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If autonomous vehicles are deployed without a centralized monitoring system, then deployment speed is improved, but operational efficiency and safety deteriorate due to lack of real-time control
Solution Approach 1:
The patent introduces a Central Operations Center (COC) as an intermediary system that mediates between autonomous vehicles and transportation network operators. The COC receives real-time data from vehicles via AVES equipment, processes information about vehicle location, condition, and status, and sends back control commands. This intermediary structure enables rapid deployment of autonomous vehicles while maintaining operational safety through centralized monitoring and control capabilities.
2Adaptability or versatility
If different companies' autonomous vehicles are integrated into a single fleet, then fleet versatility is improved, but device complexity increases due to lack of standardization
Solution Approach 1:
The patent creates a universal communication and control platform that can interface with autonomous vehicles from different manufacturers. The AVES equipment and COC use standardized protocols and data formats that work across multiple vehicle types and companies, enabling diverse fleets to be managed through a single system without requiring manufacturer-specific integration solutions for each vehicle.
3Ease of operation
If real-time monitoring of all fleet vehicles is implemented, then operational control is improved, but information processing requirements increase
Solution Approach 1:
The patent extracts and focuses monitoring on critical operational parameters and safety-related data from autonomous vehicles. Rather than processing all possible vehicle data, the COC selectively monitors essential information such as vehicle location, operational status, safety system states, and trip information. This selective extraction approach maintains effective operational control while reducing the overall information processing burden on the centralized system.
Data Source
AI summary
The present application is directed to an Autonomous Vehicle Enhancement System (AVES) and method for monitoring and managing a virtual or existing fleet of autonomous vehicles in a transportation network and dispatching the autonomous vehicles to users. The AVES includes an AVES Central Operations Center (COC) that communicates with AVES vehicle equipment installed in the autonomous vehicles and AVES applications installed on computing devices accessible by the users. The AVES improves the operating efficiency of a transportation network by monitoring the condition of autonomous vehicles, optimizing the geographical distribution of the autonomous vehicles and optimizing assignment of the autonomous vehicles to users requesting services. The AVES COC monitors and controls the autonomous vehicles via the AVES vehicle equipment. The AVES COC communicates with the users via the AVES applications to provide services to the users. The AVES vehicle equipment and the AVES applications installed on the computing devices communicate with each other to fulfill user request for services.