Token-Based Remote Control for Autonomous Vehicles
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Solution Overview
Problem
Current autonomous vehicle systems lack efficient remote control mechanisms that allow centralized management of vehicle operations across multiple vehicles in real-time, especially in response to traffic conditions or emergencies, relying on manual intervention or limited broadcast technologies.
Innovation Solution
A token-based remote control system that enables operators to generate and transmit control tokens via a wireless network to autonomous vehicles, allowing for real-time adjustments such as speed changes, route re-routing, and operation mode switching, using a management portal and global token repository to manage and multicast these tokens across defined service areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual intervention or limited broadcast technologies are used for remote control, then system complexity is reduced, but real-time control capability and coordination efficiency deteriorate
Solution Approach 1:
The control system is segmented into independent control tokens that can be individually generated, transmitted, and executed. Each token represents a discrete control instruction that can be processed independently by autonomous vehicles, enabling real-time control without requiring complex centralized coordination of the entire fleet.
Solution Approach 2:
Control tokens serve as intermediaries between the centralized management system and autonomous vehicles. These tokens encapsulate control instructions and transmit them through the wireless network, enabling real-time control while maintaining system modularity and reducing direct system-to-vehicle complexity.
2Productivity
If centralized real-time control is implemented, then traffic management efficiency and safety response improve, but system complexity and infrastructure requirements worsen
Solution Approach 1:
The control token system is designed to be universal and applicable to multiple autonomous vehicles simultaneously. A single token can be multicast to numerous vehicles, and the same infrastructure can handle various types of control instructions (speed adjustments, route changes, emergency stops), reducing the need for vehicle-specific or instruction-specific infrastructure complexity.
Solution Approach 2:
Control instructions are replicated into identical token copies that are distributed to multiple autonomous vehicles through wireless networks. This copying mechanism enables centralized control of multiple vehicles without requiring complex point-to-point communication infrastructure, as the same token can be broadcast to numerous recipients simultaneously.
3Adaptability or versatility
If control tokens are multicast to multiple vehicles, then coordinated response to traffic conditions improves, but network bandwidth and transmission complexity worsen
Solution Approach 1:
The system employs periodic control tokens that are transmitted at scheduled intervals rather than continuously. This periodic transmission reduces network bandwidth consumption while maintaining coordinated response capability, as vehicles receive control instructions at regular intervals sufficient for safe and effective fleet coordination without excessive data transmission.
Data Source
AI summary
A method, network device, and non-transitory storage medium are described, in which a device receives input from an entity that is authorized to select parameters associated with issuing remote control commands to multiple autonomous vehicles operated in a geographic service area; generates an autonomous vehicle control token based on selected parameters; and transmits the autonomous vehicle control token via a plurality of multicast bearers associated with multiple base stations of the geographic service area in a wireless network, to the multiple autonomous vehicles over a same multicast channel.