Driving trip and pattern analysis

Patent metadata

Field	Value
Publication number	US-11069159-B1
Application number	US-201916722113-A
Country	US
Kind code	B1
Filing date	Dec 20, 2019
Priority date	Dec 19, 2012
Publication date	Jul 20, 2021
Grant date	Jul 20, 2021

Abstract

A driving analysis server may be configured to receive vehicle location data and/or operation data from one or more vehicle systems, identify driving trips and/or driving patterns based on the vehicle data, determine risk assessment values corresponding to the driving trips and driving patterns, and calculate driver scores based on the analyzed driving trip and driving pattern data. Destination locations may be identified for a vehicle's driving trips, and information relating to the destination locations may be retrieved and analyzed to determine risk factors and risk assessment values associated with driving to and from the destination, as well as parking at the destination. Specific driving trip types or purposes may be identified, and driving scores may be calculated based on the vehicle location and time data, including the risk factors, risk assessment values, and the determined trip types or purposes.

First claim

The invention claimed is:

1. A driving analysis server comprising:
a processing unit comprising a processor; and
a memory unit storing computer-executable instructions, which when executed by the processing unit, cause the driving analysis server to:
receive, in real-time, vehicle data from a plurality of sensors arranged on a first vehicle, the vehicle data corresponding to at least a first driving trip by the first vehicle;
perform, in real-time, an analysis of the received vehicle data and determine one or more risk assessment values corresponding to the first driving trip, determining the one or more risk assessment values including:
determining whether the received vehicle data associated with the first driving trip corresponds to a driving pattern of a plurality of stored driving patterns associated with the first vehicle, determining whether the received vehicle data corresponds to the driving pattern including:
comparing the received vehicle data to data from a plurality of previous driving trips of the first vehicle;
determining whether the received vehicle data for the first driving trip corresponds to a previous driving trip, of the plurality of previous driving trips, having at least a threshold frequency;
responsive to determining that the vehicle data for the first driving trip does not correspond to the previous driving trip having at least the threshold frequency, determining that the received vehicle data for the first driving trip does not correspond to the driving pattern; and
responsive to determining that the received vehicle data for the first driving trip does correspond to the previous driving trip having at least the threshold frequency, determining that the received vehicle data corresponds to the driving pattern;

responsive to determining that the received vehicle data does not correspond to the driving pattern, retrieve information associated with a destination of the first driving trip from a location database;

responsive to determining that the received vehicle data associated with the first driving trip corresponds to the driving pattern of the stored plurality of driving patterns, retrieve a set of previously stored driving trip characteristics, risk factors, and risk assessment values corresponding to the driving pattern; and
calculate a driver score for the first vehicle or a first driver of the first vehicle, based on at least one of: the retrieved risk assessment values corresponding to the driving pattern corresponding to the first driving trip and the retrieved information associated with the destination of the first driving trip.

2. The driving analysis server of claim 1 , wherein the retrieved risk assessment values are based on at least one previous driving trip, of the plurality of previous driving trips, different from the first driving trip.

3. The driving analysis server of claim 2 , wherein the driver score is calculated based on the retrieved risk assessment values of the at least one previous driving trip different from the first driving trip.

4. The driving analysis server of claim 1 , wherein determining whether the received vehicle data associated with the first driving trip corresponds to the driving pattern of the plurality of stored driving patterns further includes:
identifying a source location of the first driving trip, the destination of the first driving trip, and a time of the first driving trip; and
determining whether at least one of the source location of the first driving trip and the destination of the first driving trip are within a predefined location threshold of a source location and a destination of the driving pattern corresponding to the first driving trip.

5. The driving analysis server of claim 1 , wherein determining whether the received vehicle data associated with the first driving trip corresponds to the driving pattern of the plurality of stored driving patterns further includes:
identifying a source location of the first driving trip, the destination of the first driving trip, and a time of the first driving trip; and
determining whether the time of the first driving trip is within a predefined time threshold of time of the driving pattern corresponding to the first driving trip.

6. The driving analysis server of claim 1 , wherein calculating the driver score for the first vehicle or the first driver of the first vehicle, based on the retrieved risk assessment values corresponding to the driving pattern corresponding to the first driving trip further includes:
receiving current weather data or current traffic data associated with a route of the driving pattern;
calculating a risk assessment value associated with the current weather data or the current traffic data; and
calculating the driver score based on the retrieved risk assessment values corresponding to the driving pattern corresponding to the first driving trip and the calculated risk assessment value for the current weather data or the current traffic data.

7. The driving analysis server of claim 1 , wherein calculating the driver score for the first vehicle or the first driver of the first vehicle, based on the retrieved risk assessment values corresponding to the driving pattern corresponding to the first driving trip further includes:
using the vehicle data corresponding to the first driving trip, determining a first parking time corresponding to the first vehicle being parked at the destination of the first driving trip;
calculating a risk assessment value associated with parking the first vehicle at the destination at the first parking time; and
calculating the driver score based on the retrieved risk assessment values corresponding to the driving pattern corresponding to the first driving trip and the calculated risk assessment value for the first vehicle being parked at the destination of the first driving trip.

8. The driving analysis server of claim 1 , further including instructions that, when executed, cause the driving analysis server to:
responsive to determining that the received vehicle data associated with the first driving trip corresponds to the driving pattern of the stored plurality of driving patterns and after calculating the driver score for the first vehicle or the first driver of the first vehicle, receive additional current driving trip data;
identify, based on the received additional current driving trip data, one or more driving behavior variations between the additional current driving trip data and the corresponding driving pattern; and
adjust the calculated driver score for the first vehicle or the first driver of the first vehicle based on the one or more driving behavior variations.

9. A driving analysis server comprising:
a processing unit comprising a processor; and
a memory unit storing computer-executable instructions, which when executed by the processing unit, cause the driving analysis server to:
receive, in real-time, vehicle data from a plurality of sensors arranged on a first vehicle, the vehicle data corresponding to at least a first driving trip by the first vehicle;
perform, in real-time, an analysis of the received vehicle data and determine one or more risk assessment values corresponding to the first driving trip, determining the one or more risk assessment values including:
determining a source location of the first driving trip;
determining a destination of the first driving trip, the destination being the destination to which the first vehicle travelled from the determined source location;
determining whether the source location and the destination correspond to a driving pattern of a plurality of driving patterns associated with the first vehicle, determining whether the source location and the destination correspo

Assignees

• Arity International Ltd

Inventors

• Brinkmann Margaret A
• Kraft Daniel
• Bryer Nathan M
• Huls Eric D
• Warden Thomas Michael

Classifications

• G06Q40/08 Primary

  Insurance · CPC title

• G07C5/02 Primary

  Registering or indicating driving, working, idle, or waiting time only (apparatus forming part of taximeters G07B13/00) · CPC title

• G07C5/008

  communicating information to a remotely located station (transmission systems for measured values G08C) · CPC title

• G01S19/01

  Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO · CPC title