5G/6G Supercomputer Collision Mitigation for Autonomous Vehicles
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Solution Overview
Problem
Current systems lack the capability to rapidly analyze and respond to imminent vehicle collisions, as human reflexes and judgment are insufficient at freeway speeds, necessitating electronic reflexes and supercomputer-level processing to evaluate and implement effective collision mitigation strategies in real-time.
Innovation Solution
An autonomous vehicle system that rapidly communicates with a supercomputer via high-speed wireless technology to transmit sensor data, receive calculated sequences of actions, and implement them to avoid or minimize collisions, utilizing 5G or higher communication networks to ensure timely and effective collision mitigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If high-speed wireless communication (5G/6G) is used to transmit collision data to supercomputer, then collision analysis speed is improved, but communication channel contention and traffic collisions worsen
Solution Approach 1:
The system performs preliminary actions by pre-establishing communication protocols and priority mechanisms before collisions occur. The supercomputer preemptively allocates communication resources and establishes dedicated channels for emergency collision data, ensuring that when a collision event happens, the data can be transmitted immediately without waiting for channel availability.
Solution Approach 2:
The patent introduces an intermediary layer (communication manager or protocol handler) that mediates between multiple vehicles/supercomputers and the wireless communication channel. This intermediary prioritizes collision-related traffic, manages channel allocation, and coordinates transmission timing to prevent traffic collisions while maintaining high-speed data exchange for safety-critical applications.
2Measurement precision
If multiple supercomputers process collision data simultaneously, then computational accuracy is improved, but synchronization errors and data conflicts worsen
Solution Approach 1:
The system segments the collision analysis task across multiple supercomputers, dividing the computational workload into independent processing units. Each supercomputer handles specific aspects of collision data (e.g., trajectory prediction, impact force calculation, mitigation strategy generation), reducing the need for constant synchronization while maintaining overall analytical accuracy through modular design.
Solution Approach 2:
The patent implements feedback mechanisms where supercomputers continuously exchange processing results and status information. When multiple supercomputers analyze the same collision scenario, they provide feedback to a central coordinator or to each other, allowing for result validation, conflict resolution, and convergence on the most accurate mitigation strategy through iterative refinement.
Data Source
AI summary
A supercomputer, with traffic-modeling software and 5G/6G connectivity, can assist an autonomous vehicle in avoiding, or at least minimizing the expected harm of, an imminent collision. Upon detecting the imminent collision, the autonomous vehicle can transmit a message to an access point, requesting an uncontested direct communication link to the supercomputer, and then transfer sensor data and other traffic data to the supercomputer through the access point. The supercomputer can calculate a multitude of sequences of braking, steering, and accelerating actions of the autonomous vehicle, and can select the sequence that enables the autonomous vehicle to avoid the collision if possible. If all sequences cannot avoid the collision, the supercomputer can select the sequence that results in the least harm (fatalities, injuries, and property damage) in the unavoidable collision. The supercomputer relays the selected best sequence of actions through the access point to the autonomous vehicle, thereby mitigating the collision.