AV Fleet Dispatch Using Microservices for Real-Time Routing
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Solution Overview
Problem
Current autonomous vehicle (AV) systems operate independently, lacking effective communication and coordination at a regional level, which limits their ability to optimize routing and provide efficient user experiences.
Innovation Solution
An AV fleet management system that utilizes a microservices-based architecture, real-time data processing, and user interaction models to optimize dispatching by determining AV availability, routing, and trip management, allowing for communication between AVs and integration with user devices for improved service delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If AVs operate independently without communication, then vehicle system complexity is reduced, but routing efficiency and coordination capability deteriorate
Solution Approach 1:
The system divides the fleet management functionality into independent microservices (dispatch service, telemetry service, user service, etc.), allowing each service to operate autonomously while contributing to overall fleet coordination. This segmentation maintains low individual component complexity while achieving high system-level routing efficiency through service composition.
Solution Approach 2:
The patent introduces a centralized fleet management system as an intermediary that coordinates between independent AVs and external systems. This mediator enables efficient routing and coordination without requiring direct complex communication between all AVs, resolving the contradiction by providing centralized intelligence while maintaining distributed vehicle operation.
2Productivity
If AVs communicate and are controlled at fleet level, then routing coordination and efficiency improve, but system complexity increases
Solution Approach 1:
The fleet management system is segmented into specialized microservices, each handling specific coordination tasks (dispatch, telemetry, user management). This segmentation allows the system to achieve high routing coordination through distributed specialized services rather than a monolithic complex system.
Solution Approach 2:
The microservices architecture creates universal building blocks that can perform multiple functions across different contexts. For example, the dispatch service handles both route optimization and vehicle assignment, reducing overall system complexity while maintaining high coordination capability.
3Loss of time
If real-time data processing is implemented, then user interaction latency is reduced, but computational resource requirements increase
Solution Approach 1:
The system performs preliminary data processing and route calculations before users need the information. Telemetry data is pre-processed and cached, and potential routes are pre-computed, allowing real-time responses to user interactions without heavy computational burden during critical moments.
Solution Approach 2:
The AVs and fleet management system automatically process and analyze their own telemetry data without requiring constant external computational resources. The system self-monitors its state, detects anomalies, and adjusts operations autonomously, reducing the computational overhead required for real-time processing.
Data Source
AI summary
Systems and methods provide for optimizing dispatching of autonomous vehicles (AVs) using an AV fleet management system. The AV fleet management system can receive first data indicative of client application to the AV fleet management system being opened on a client device. The AV fleet management system can determine availability of an AV within proximity of the client device. The AV fleet management system can determine a first route from a first location of the AV to a second location of the client device. The AV fleet management system can dispatch the AV from the first location to the second location via the first route prior to determining a destination of a second route from the second location to the destination.