17932843. LOCATION-SYNCHRONOUS AVERAGING OF CONNECTED VEHICLE DATA simplified abstract (Ford Global Technologies, LLC)
Contents
- 1 LOCATION-SYNCHRONOUS AVERAGING OF CONNECTED VEHICLE DATA
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 LOCATION-SYNCHRONOUS AVERAGING OF CONNECTED VEHICLE DATA - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
LOCATION-SYNCHRONOUS AVERAGING OF CONNECTED VEHICLE DATA
Organization Name
Inventor(s)
Christopher Wolf of Ann Arbor MI (US)
Michael W. Degner of Novi MI (US)
LOCATION-SYNCHRONOUS AVERAGING OF CONNECTED VEHICLE DATA - A simplified explanation of the abstract
This abstract first appeared for US patent application 17932843 titled 'LOCATION-SYNCHRONOUS AVERAGING OF CONNECTED VEHICLE DATA
Simplified Explanation
Location-synchronous averaging of connected vehicle data is described in this patent application. The data includes events happening to multiple vehicles on roadways and the corresponding location coordinates of these events. A kernel density estimation is used to smooth out neighboring event counts, and locations with aggregate event counts above a predefined threshold are identified as areas of interest.
- Aggregation of connected vehicle data
- Kernel density estimation for smoothing event counts
- Identification of locations with high event counts as areas of interest
Potential Applications
This technology could be applied in traffic management systems, urban planning, and transportation safety analysis.
Problems Solved
This innovation helps in identifying high-risk areas on roadways, improving traffic flow, and enhancing overall road safety.
Benefits
The benefits of this technology include better decision-making in traffic management, targeted interventions in high-risk areas, and improved overall transportation efficiency.
Potential Commercial Applications
Potential commercial applications of this technology include traffic monitoring systems, smart city solutions, and transportation analytics services.
Possible Prior Art
One possible prior art could be the use of similar techniques in geospatial analysis or traffic engineering research.
Unanswered Questions
How does this technology handle real-time data processing?
This article does not delve into the real-time processing capabilities of the system. It would be interesting to know how quickly the data can be analyzed and acted upon in live traffic situations.
What are the privacy implications of collecting and analyzing connected vehicle data?
The patent application does not address the privacy concerns associated with gathering location-specific data from connected vehicles. It would be essential to understand how privacy is safeguarded in this context.
Original Abstract Submitted
Location-synchronous averaging of connected vehicle data is provided. Connected vehicle data, including events occurring to a plurality of vehicles driving along roadways and location coordinates at which the respective events occurred, is aggregated. A kernel density estimation is performed to smoothly aggregate neighboring event counts. The locations of conditions along the roadways are indicated as being where the aggregate neighboring event counts have a value over a predefined threshold.
