17876616. VEHICULAR MICRO CLOUD FOR A FUTURE ROAD HAZARD PREDICTION simplified abstract (TOYOTA JIDOSHA KABUSHIKI KAISHA)

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VEHICULAR MICRO CLOUD FOR A FUTURE ROAD HAZARD PREDICTION

Organization Name

TOYOTA JIDOSHA KABUSHIKI KAISHA

Inventor(s)

Seyhan Ucar of Mountain View CA (US)

Takamasa Higuchi of Mountain View CA (US)

Onur Altintas of Mountain View CA (US)

VEHICULAR MICRO CLOUD FOR A FUTURE ROAD HAZARD PREDICTION - A simplified explanation of the abstract

This abstract first appeared for US patent application 17876616 titled 'VEHICULAR MICRO CLOUD FOR A FUTURE ROAD HAZARD PREDICTION

Simplified Explanation

The disclosed patent application describes a method for predicting future road hazards in a roadway environment using digital data provided by a vehicular micro cloud. The method involves receiving sensor measurements of the roadway environment and a rule set from the vehicular micro cloud. Based on these inputs, the method predicts that a future road hazard will occur and executes a remedial action plan to prevent the hazard. The prediction and the action plan can be broadcast within the roadway environment.

  • The patent application describes a method for predicting future road hazards using data from a vehicular micro cloud.
  • The method involves receiving sensor measurements of the roadway environment and a rule set.
  • Based on these inputs, the method predicts that a future road hazard will occur.
  • The method then executes a remedial action plan to prevent the hazard.
  • The prediction and action plan can be broadcast within the roadway environment.

Potential applications of this technology:

  • Enhancing road safety by predicting and preventing road hazards in real-time.
  • Improving traffic flow and reducing congestion by addressing potential hazards before they occur.
  • Enabling autonomous vehicles to proactively respond to road hazards.

Problems solved by this technology:

  • Road hazards can be unpredictable and pose risks to drivers and pedestrians. This technology helps in identifying and addressing these hazards in advance.
  • Traditional methods of hazard detection may not be as efficient or timely as this predictive approach.
  • By preventing road hazards, this technology can reduce accidents, injuries, and property damage.

Benefits of this technology:

  • Increased road safety for drivers, passengers, and pedestrians.
  • Improved traffic flow and reduced congestion, leading to smoother and more efficient transportation.
  • Potential cost savings by preventing accidents and reducing damage to vehicles and infrastructure.
  • Enhanced capabilities for autonomous vehicles to navigate safely in complex roadway environments.


Original Abstract Submitted

The disclosure includes embodiments for predicting an occurrence of a future road hazard in a roadway environment using digital data provided by a vehicular micro cloud. A method according to some embodiments is executed by a processor. In some embodiments, the processor is an element of a vehicle that is itself a member of the vehicular micro cloud. The method includes receiving vehicular micro cloud data describing sensor measurements of a roadway environment and a rule set. The method includes predicting, based on the sensor measurements and the rule set, that a future road hazard will occur. The method includes executing a remedial action plan that obviates the future road hazard. In some embodiments, the remedial action plan is executed by one or more members of the vehicular micro cloud. In some embodiments, digital data describing the prediction and the remedial action plan is broadcast within the roadway environment.

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