Autonomous Vehicle Fleet Routing With 5G Radio Resource Allocation
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Solution Overview
Problem
Current 5G mobile communication networks lack a comprehensive approach to manage both autonomous vehicle fleets and vehicular traffic information jointly with mobile communication network status and subscriber information, which affects data traffic management for connected vehicles.
Innovation Solution
A method and system for managing data traffic in 5G networks that involves receiving transport requests, identifying compliant vehicles and routes, and arranging radio resources based on network, vehicle, and radio state information, while adapting to perturbing events and prioritizing customers and vehicles, to ensure efficient and secure transport services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a comprehensive joint approach is implemented to manage autonomous vehicle fleets and vehicular traffic information together with mobile communication network status and subscriber information, then data traffic management efficiency is improved, but system complexity increases
Solution Approach 1:
The patent merges the management of autonomous vehicle fleets with mobile communication network status and subscriber information into a unified management system. The method integrates transport request processing, vehicle identification, route planning, and radio resource allocation into a single comprehensive approach, allowing joint optimization of data traffic management across multiple domains simultaneously.
Solution Approach 2:
The management system performs multiple functions simultaneously: it processes transport requests, identifies compliant vehicles, plans routes, monitors radio state, and allocates radio resources. This multi-functional approach allows the same system to handle both autonomous vehicle management and mobile network resource management, improving overall efficiency while avoiding the need for separate specialized systems.
2Reliability
If radio resources are arranged dynamically based on network, vehicle, and radio state information, then service quality for transport requests is improved, but processing time and computational load increase
Solution Approach 1:
The system performs preliminary identification of compliant vehicles and preliminary planning of compliant routes before final transport service execution. By pre-processing transport requests and identifying suitable vehicles and routes in advance, the system reduces the processing time required during actual service delivery while maintaining high service quality through informed resource allocation decisions.
Solution Approach 2:
The method continuously monitors radio state information and uses this feedback to dynamically adjust radio resource arrangement. The system processes radio state feedback from the network and uses it to optimize resource allocation for transport services, ensuring high service quality while adapting to changing network conditions in real-time.
Data Source
AI summary
A method for managing data traffic of customers and self-driving vehicles includes receiving a transport request by a requesting customer, processing the received transport request, and identifying, among the self-driving vehicles, a compliant vehicle compliant with the transport request. The method also includes identifying a compliant route, compliant with the transport request, and causing the compliant vehicle to perform a transport service over the identified compliant route according to said transport request. identification of a compliant vehicle, identification of a compliant route, and causation of the compliant vehicle to perform a transport service are based on information about the mobile communication network, information about the compliant vehicle, and information about a radio state in the mobile communication network between the customers, between the vehicles, and between the customers and the vehicles.