Lytx has filed a patent for a system that determines and ranks location risks based on vehicle events and accident data. The system uses an interface to receive accident and event data, and a processor to group accidents and events by location proximity. It also determines traffic estimations and ranks incident groups based on accidents, events, and traffic estimations. GlobalData’s report on Lytx gives a 360-degree view of the company including its patenting strategy. Buy the report here.
According to GlobalData’s company profile on Lytx, usage monitoring vehicle telematics was a key innovation area identified from patents. Lytx's grant share as of September 2023 was 74%. Grant share is based on the ratio of number of grants to total number of patents.
Location risk determination and ranking system based on vehicle events and accidents
A recently filed patent (Publication Number: US20230245560A1) describes a system for risk ranking accidents and events based on location proximity and traffic estimations. The system includes an interface to receive accident data or event data, and a processor to determine incident groups and rankings.
The system determines incident groups by grouping accidents or events based on their proximity to each other. It then calculates a set of traffic estimations associated with each incident group. The ranking of incident groups is determined based on the accidents or events, traffic estimations, and other factors.
The accident data can be collected by a government organization or non-governmental organization, while event data can be collected by a vehicle event recorder. The accident data or event data may include metadata tags such as object type tags, road type tags, weather tags, geography tags, region tags, or time tags.
The incident group score, which contributes to the ranking, is calculated based on the accidents or events associated with the incident group and a set of weightings. These weightings can include factors such as injury, fatality, or severity.
The system uses clustering algorithms to determine the set of incident groups and can merge compatible incident groups. It also determines rankings at both regional and sub-regional levels. Low-ranking incident groups may be omitted from the rankings.
The traffic estimations are based on traffic count data collected by government or non-governmental organizations, or determined through traffic flow computation.
Additionally, the system can provide a display set of incident groups for visualization purposes by selecting a top-ranked set of incident groups from the ranking.
The patent also describes a method for risk ranking and a computer program product for implementing the system.
Overall, this patent presents a system that utilizes accident and event data, along with traffic estimations, to determine rankings of incident groups based on location proximity and other factors. The system can be used to identify high-risk areas and prioritize resources for accident prevention and mitigation efforts.
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