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Risk Area Determination from Vehicle-to-Vehicle Communications

IP.com Disclosure Number: IPCOM000240745D
Publication Date: 2015-Feb-25
Document File: 2 page(s) / 73K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a system that aggregates and analyzes data collected about accident prevention actions taken by vehicle-to-vehicle communications or by self-driven vehicles. The system then uses the results to design a model to identify high-risk areas, which can then be evaluated for preventive measures.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 52% of the total text.

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Risk Area Determination from Vehicle-to-Vehicle Communications

The advent of vehicle-to-vehicle communications and self-driving vehicles is expected to prevent many accidents. However, this can result in a loss of data points about accidents, which will increase the difficulty in identifying high-risk areas in the transportation grid.

The proposed solution is to create a system that aggregates the accident prevention actions taken by vehicle -to-vehicle communications or by self-driven vehicles. Those actions are then classified by severity and cause. Using this data, the system designs a better model to identify high-risk areas, which can then be evaluated for preventive measures. These high-risk areas can be monitored in real-time.

Figure: Components and process

The system is composed of a central data repository that aggregates information sent by vehicle -to-vehicle communications or by self-driven vehicles. This information can be captured in multiple forms, including but not limited to vehicle-to-vehicle reception points scattered across the roads and cellular network communications sent by wireless systems or self-driven vehicles communications.

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The system aggregates the data and then analyzes it to determine a probable cause. Potential identifiable causes include:


Human error, not respecting a traffic regulation. This is determined by analyzing the vehicle speed compared to the road limitations. For instance:


- vehicle running above the speed limit


- vehicle is not performing a required stop

    - vehicle is not in the correct lane Unexpected obsta...