20240034290. SYSTEM AND METHOD FOR SURFACE ADAPTIVE BRAKING simplified abstract (VOLVO TRUCK CORPORATION)

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SYSTEM AND METHOD FOR SURFACE ADAPTIVE BRAKING

Organization Name

VOLVO TRUCK CORPORATION

Inventor(s)

Chidambaram Subramanian of Greensboro NC (US)

SYSTEM AND METHOD FOR SURFACE ADAPTIVE BRAKING - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240034290 titled 'SYSTEM AND METHOD FOR SURFACE ADAPTIVE BRAKING

Simplified Explanation

The patent application describes a system, methods, and computer-readable storage media for using neural networks to prevent jackknifing in articulated vehicles. The system can receive operational parameters of both the vehicle and the trailer being towed. It can also identify the current surface condition and predict road conditions for a portion of the road ahead using a neural network. When distinctions between current and predicted conditions are defined, the system can modify the operational parameters of the vehicle and/or the trailer.

  • The system uses neural networks to adapt the braking capabilities of articulated vehicles to prevent jackknifing.
  • It receives operational parameters of the vehicle and trailer, as well as identifies the current surface condition.
  • A neural network is used to predict road conditions for a portion of the road ahead.
  • When distinctions between current and predicted conditions are defined, the system modifies the operational parameters of the vehicle and/or the trailer.

Potential applications of this technology:

  • Transportation industry: This technology can be applied to improve the safety and stability of articulated vehicles, such as semi-trucks and trailers, reducing the risk of accidents and jackknifing.
  • Autonomous vehicles: The neural network-based system can be integrated into autonomous vehicles to enhance their ability to adapt to changing road conditions and prevent jackknifing.

Problems solved by this technology:

  • Jackknifing prevention: The system addresses the problem of jackknifing in articulated vehicles by using neural networks to adapt the braking capabilities based on current and predicted road conditions.
  • Safety improvement: By modifying the operational parameters of the vehicle and trailer, the system improves the safety and stability of articulated vehicles, reducing the risk of accidents and jackknifing.

Benefits of this technology:

  • Enhanced safety: The technology improves the braking capabilities of articulated vehicles, reducing the likelihood of jackknifing and improving overall safety on the road.
  • Adaptability to road conditions: By predicting road conditions using neural networks, the system can proactively adjust the operational parameters of the vehicle and trailer, ensuring optimal performance in different road conditions.


Original Abstract Submitted

systems, methods, and computer-readable storage media for using neural networks to ensure the braking capabilities of articulated vehicles are adapted to prevent jackknifing. a system can receive operational parameters associated with both a vehicle and a trailer being towed by the vehicle. the system can also identify a current surface condition and predict, using a neural network, road conditions for a portion of the road which the vehicle is approaching. when distinctions between current and predicted, future conditions are defined, and the system can cause modification of the operational parameters of the vehicle and/or the trailer.

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