Patent Issued for Vehicle mode detection systems (USPTO 11915535): Allstate Insurance Company
2024 MAR 19 (NewsRx) -- By a
The patent’s inventors are Ber, Jeremy (
This patent was filed on
From the background information supplied by the inventors, news correspondents obtained the following quote: “Insurance providers value the ability to collect driving information of various users for use in evaluating risk, providing incentives, adjusting premiums, and the like. Although techniques exist to generally capture data from sensors on smartphones and in vehicles, they may not recognize a type of vehicle or mode of transportation associated with data sets (e.g., car vs. train, etc.). While providers desire information relating to the operation of a vehicle by a user, data recorded while the user is a passenger in a car, train, airplane, boat, bicycle, or other mode of transportation may hinder the ability to determine accurate driving information related to the user. Therefore, it is beneficial to recognize the vehicle mode associated with the user during a travel segment.”
Supplementing the background information on this patent, NewsRx reporters also obtained the inventors’ summary information for this patent: “The following presents a simplified summary in order to provide a basic understanding of some aspects of the disclosure. The summary is not an extensive overview of the disclosure. It is neither intended to identify key or critical elements of the disclosure nor to delineate the scope of the disclosure. The following summary merely presents some concepts of the disclosure in a simplified form as a prelude to the description below.
“Various aspects discussed herein are related to improving data collection by analyzing location data and acceleration data to determine a vehicle mode of a user during travel. Aspects of the disclosure relate to methods, computer-readable media, systems, and apparatuses for determining a vehicle mode based on real-time or near real-time navigational analysis using sensor data, acceleration data, positioning data, digital image data, and/or a map database. In some arrangements, the system may be a vehicle mode system that includes at least one processor; and at least one memory storing computer-executable instructions that, when executed by the at least one processor, cause the vehicle mode system to perform vehicle mode analysis.
“In some aspects the computing device may determine one or more real-time factors and real-time data associated with the one or more real-time factors. These factors may include map information, roadway information, geographic information, vehicle information, train information, bus route information, and/or additional factors that may influence determination of vehicle mode. The collection and storing of real-time data will allow for the development of a portfolio of historical data that may be used in improving the predictive analysis for determining the vehicle mode of a user.
“In accordance with aspects of the disclosure, a sensor system may record, based on a user traveling during a trip, acceleration data and location data throughout the trip. In different aspects the user may be the operator of a vehicle during the trip, a passenger in a vehicle during the trip, or the operator of a vehicle during some segments of the trip and a passenger in a vehicle during other segments of the trip. The acceleration data and location data may be communicated to a server where it may be stored and/or analyzed. In some aspects, the server may receive current map data from an external database, a network, a server, or other source, and may perform analysis comparing the recorded acceleration data and location data to the received current map data to perform vehicle mode analysis. In accordance with certain aspects the system may perform a first vehicle mode analysis on the recorded acceleration data and location data, and subsequently perform a second vehicle mode analysis on the recorded acceleration data and location data to verify vehicle mode detection accuracy.
“In accordance with some aspects of the disclosure, a sensor system may record, based on a user traveling during a trip, acceleration data and location data throughout the trip. The acceleration data and location data may be recorded by a mobile device, and may be stored and/or analyzed at the mobile device. In some aspects, the mobile device may receive current map data from an external database and store the current map data on the mobile device. In certain aspects portions of the map data or other data received from an external database may be cached at the mobile device. In these aspects, there are advantages to having the map data cached at the mobile device as it will improve efficiency and reduce the need for additional transfer of data. In some arrangements the mobile device may perform analysis comparing the recorded acceleration data and location data to the received and/or stored current map data to perform vehicle mode analysis. In accordance with certain aspects the system may perform a first vehicle mode analysis on the recorded acceleration data and location data, and subsequently perform a second vehicle mode analysis on the recorded acceleration data and location data to verify vehicle mode detection accuracy. In certain aspects the mobile device may cache the map data and be configured to perform the mode detection analysis at the mobile device without needing to communicate to an external server.”
The claims supplied by the inventors are:
“1. A system for detecting a vehicle mode associated with a travel segment, comprising: at least one processor; and at least one memory storing computer-executable instructions that, when executed by the at least one processor, cause the system to: receive first mobile device sensor data collected by mobile device sensors of a mobile device during a trip, the first mobile device sensor data including acceleration data and location data; receive map data from a first external database, the map data including data comprising information about one or more routeways; determine based on the acceleration data and location data, a plurality of stopping points encountered during the trip; assign first mobile sensor data collected between a first stopping point and a second stopping point as a first travel segment; calculate a number of acceleration actions per distance unit for the first travel segment; determine, based on the number of acceleration actions per distance unit and a predefined acceleration action threshold value, a first vehicle mode associated with the first travel segment; assign the first vehicle mode to the first travel segment; and store the first travel segment at a memory for analysis of travel data during the trip, the travel data associated with a user of the mobile device.
“2. The system of claim 1, wherein the number of acceleration actions per distance unit include one or more acceleration data points greater than 1 m/s2.
“3. The system of claim 1, wherein the predefined acceleration action threshold value is 10 acceleration actions per mile.
“4. The system of claim 1, wherein the map data including data comprising information about one or more routeways further comprises stopping object data.
“5. The system of claim 1, wherein the computer-executable instructions when executed by the at least one processor, further cause the system to receive map data from a second external database.
“6. The system of claim 1, wherein the computer-executable instructions when executed by the at least one processor, further cause the system to: determine, based on the location data and the map data, an average snapping distance between the location data collected during the first travel segment and a predetermined routeway type; determine, based on the average snapping distance and a predefined snapping distance threshold value, a second vehicle mode; determine whether the first vehicle mode and the second vehicle mode are the same; and if so, store the second vehicle mode at the memory.
“7. The system of claim 6, wherein the predetermined routeway type is at least one of: a roadway and train tracks.
“8. The system of claim 6, wherein the predefined snapping distance threshold value is less than 20 m.
“9. A method for detecting a vehicle mode associated with a travel segment, the method comprising: receiving, by a computing device, first mobile device sensor data collected by mobile device sensors of a mobile device during a trip, the first mobile device sensor data including acceleration data and location data; assigning the first mobile device sensor data to a first user associated with the mobile device; receiving, by the computing device and from an external database, map data comprising data comprising information about one or more routeways; determining, by the computing device and based on the acceleration data and location data, a plurality of stopping points encountered during the trip; assigning, by the computing device and based on a first stopping point and a second stopping point, a first travel segment; determining, based on the location data collected during the first travel segment, a first vehicle mode associated with the first travel segment; assigning the first vehicle mode to the first travel segment; and storing the first vehicle mode at a memory for analysis of travel data during the trip, where the first vehicle mode and the travel data are associated with the first user.
“10. The method of claim 9, further comprising: determining, based on the first vehicle mode, an operation state of the first vehicle mode, where the operation state is either driver or passenger; assigning the operation state to the first vehicle mode; and, storing the operation state assigned to the first vehicle mode at the memory.
“11. The method of claim 9, wherein the number of acceleration actions per distance unit include one or more acceleration data points greater than 1 m/s2.
“12. The method of claim 9, wherein the map data including data comprising information about one or more routeways further comprises stopping object data.
“13. The method of claim 9, further comprising receiving map data from a second external database.
“14. The method of claim 9, further comprising: determining, based on the location data and the map data, an average snapping distance between the location data collected during the first travel segment and a predetermined routeway type; determining, based on the average snapping distance and a predefined snapping distance threshold value, a second vehicle mode; determining whether the first vehicle mode and the second vehicle mode are the same; and if so, store the second vehicle mode at the memory.
“15. The method of claim 14, wherein the predetermined routeway type is at least one of: a roadway and train tracks.
“16. The method of claim 14, wherein the predefined snapping distance threshold value is less than 20 m.
“17. A non-transitory computer readable medium storing computer-executable instructions that, when executed, cause a computing device to: receive first mobile device sensor data collected by mobile device sensors of a mobile device during a trip, the first mobile device sensor data including acceleration data and location data; receive map data from a first external database, the map data including data comprising information about one or more routeways; determine based on the acceleration data and location data, a plurality of stopping points encountered during the trip; assign first mobile sensor data collected between a first stopping point and a second stopping point as a first travel segment; calculate a number of acceleration actions per distance unit for the first travel segment; determine, based on the number of acceleration actions per distance unit and a predefined acceleration action threshold value, a first vehicle mode associated with the first travel segment; assign the first vehicle mode to the first travel segment; and store the first travel segment at a memory for analysis of travel data during the trip, the travel data associated with a user of the mobile device.
“18. The non-transitory computer readable medium of claim 17, wherein the computer-executable instructions when executed by the computing device, further cause the computing device to receive map data from a second external database.
“19. The non-transitory computer readable medium of claim 17, wherein the computer-executable instructions when executed by the computing device, further cause the computing device to: determine, based on the location data and the map data, an average snapping distance between the location data collected during the first travel segment and a predetermined routeway type; determine, based on the average snapping distance and a predefined snapping distance threshold value, a second vehicle mode; determine whether the first vehicle mode and the second vehicle mode are the same; and if so, store the second vehicle mode at the memory.
“20. The non-transitory computer readable medium of claim 17, wherein the map data including data comprising information about one or more routeways further comprises stopping object data.”
For the URL and additional information on this patent, see: Ber, Jeremy. Vehicle mode detection systems.
(Our reports deliver fact-based news of research and discoveries from around the world.)
Study Results from University of Greifswald Provide New Insights into Chronic Pain (PAIN2.0: study protocol for a multicentre randomised controlled trial to evaluate the efficacy of a 10-week outpatient interdisciplinary multimodal pain therapy …): Musculoskeletal Diseases and Conditions – Chronic Pain
Patent Issued for Systems and methods for controlled access to blockchain data (USPTO 11914728): State Farm Mutual Automobile Insurance Company
Advisor News
Annuity News
Health/Employee Benefits News
Life Insurance News