Methods and systems for collecting driving information and classifying drivers and self-driving systems
First Claim
1. A method of collecting driving information and classifying drivers, including human drivers or self-driving systems, the method comprising:
- collecting driving information using a device associated with a driver and a vehicle, the driving information including routes driven in the vehicle, geocoded locations, mileage, times of day, and speeds, the collection of driving information being enabled and disabled based on location and movement of the device to reduce use of power and bandwidth;
encoding the driving information and transmitting the encoded driving information to a server;
storing, in a database associated with the server, an identifier associated with the driver and the encoded driving information;
determining, and storing in the database, predicted future typical route segments that the driver is likely to travel over a certain period of time and associated times of day based on the encoded driving information;
classifying the driver into one or more groups based on the encoded driving information;
associating an advertisement or promotional content with at least one of the typical route segments driven by the driver in the vehicle;
determining a point along the associated route segment at which the advertisement or promotional content is to be presented to the driver to provide a sufficient amount of time for the driver to take an action associated with the advertisement or promotional content;
presenting the advertisement or promotional content to the driver via the device when the driver drives along the associated route segment in the vehicle and reaches the point along the associated route segment at which the advertisement or promotional content is to be presented;
enabling the driver to respond to the advertisement or promotional content; and
providing the driver with a share of advertising revenue if the driver responds to the advertisement or promotional content.
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Abstract
Systems and methods for efficiently addressing technical and privacy/authorization obstacles associated with tracking of individuals in a vehicle, and enabling route-based analysis to determine driving behavior, socio-demographics, future profitability, and interests of individuals or self-driving systems. Driving information is collected using a device associated with a driver and a vehicle or using data collected by systems of self-driving vehicles. The frequency and methods used for the collection of driving information can be modified based on location and movement of the device and based on previous classification of the driver or self-driving system, thereby enabling efficient use of bandwidth and battery and increasing accuracy of the classification. The driving information is encoded and transmitted to a server, where future typical route segments that the driver is likely to travel are predicted, and the driver, or the self-driving system, is classified into one or more groups based on the encoded driving information.
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Citations
17 Claims
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1. A method of collecting driving information and classifying drivers, including human drivers or self-driving systems, the method comprising:
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collecting driving information using a device associated with a driver and a vehicle, the driving information including routes driven in the vehicle, geocoded locations, mileage, times of day, and speeds, the collection of driving information being enabled and disabled based on location and movement of the device to reduce use of power and bandwidth; encoding the driving information and transmitting the encoded driving information to a server; storing, in a database associated with the server, an identifier associated with the driver and the encoded driving information; determining, and storing in the database, predicted future typical route segments that the driver is likely to travel over a certain period of time and associated times of day based on the encoded driving information; classifying the driver into one or more groups based on the encoded driving information; associating an advertisement or promotional content with at least one of the typical route segments driven by the driver in the vehicle; determining a point along the associated route segment at which the advertisement or promotional content is to be presented to the driver to provide a sufficient amount of time for the driver to take an action associated with the advertisement or promotional content; presenting the advertisement or promotional content to the driver via the device when the driver drives along the associated route segment in the vehicle and reaches the point along the associated route segment at which the advertisement or promotional content is to be presented; enabling the driver to respond to the advertisement or promotional content; and providing the driver with a share of advertising revenue if the driver responds to the advertisement or promotional content. - View Dependent Claims (2, 3, 4, 5)
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6. A method of collecting driving information and classifying drivers, including human drivers or self-driving systems, the method comprising:
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collecting driving information using a device associated with a driver and a vehicle, the driving information including routes driven in the vehicle, geocoded locations, mileage, times of day, and speeds, the collection of driving information being enabled and disabled based on location and movement of the device to reduce use of power and bandwidth; encoding the driving information and transmitting the encoded driving information to a server; storing, in a database associated with the server, an identifier associated with the driver and the encoded driving information; determining, and storing in the database, predicted future typical route segments that the driver is likely to travel over a certain period of time and associated times of day based on the encoded driving information; classifying the driver into one or more groups based on the encoded driving information, wherein; classifying the driver into one or more groups includes classifying, into the one or more groups, a group of drivers or a fleet of self-driven or partially self-driven vehicles that use materially similar underlying self-driving technology component software, hardware, or sensor configuration; collecting driving information includes collecting driving information using a device associated with each driver and associated vehicle or using connectivity to processors and systems associated with a self-driven or partially self-driven vehicle, the driving information including mileage, routes driven by the vehicle, time of day, and speed; and classifying the driver into one or more groups based on the encoded driving information includes determining an insurance risk for each driver or, in a case of a fleet of self-driven or partially self-driven vehicles, determining an insurance risk by aggregating the encoded driving information of all vehicles of the fleet that uses similar underlying self-driving technology components, the insurance risk determination including applying (i) a plurality of features of the routes driven including speed limit, historical claims along the routes, and zip codes traversed, and (ii) a plurality of features of the driver including historical routes driven, driving behavior, times of day, and (iii) if known, age, gender, zip code, vehicle identification number, driver'"'"'s license number, vehicle information, credit score, and historical infractions or, in a case of a fleet of self-driven or partially self-driven vehicles, the underlying driving technology including sensors sensitivity, historical cumulative mileage, and associated claims, to assigned weights for scaling and determining the insurance risk; presenting the driver or underlying driving technology insurance risk classification to a plurality of entities; receiving requests from at least one of the entities to send promotional messages to drivers within a specific risk classification or to provide insurance for or offer services to the driver or fleet of self-driven vehicles using the underlying driving technology; and selecting one of the entities to provide insurance for or offer services to the driver or fleet of self-driven vehicles using the underlying driving technology. - View Dependent Claims (7, 8)
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9. A system for collecting driving information and classifying drivers, including human drivers or self-driving systems, the system comprising:
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a device associated with a driver and a vehicle and configured to (i) collect driving information, the driving information including routes driven in the vehicle, geocoded locations, mileage, times of day, and speeds, (ii) enable and disable the collection of driving information based on location and movement of the device to reduce use of power and bandwidth, (iii) encode the driving information, (iv) transmit the encoded driving information to a server, (v) present an advertisement or promotional content to the driver as the driver drives along a route segment corresponding to the advertisement or promotional content, and (vi) enable the driver to respond to the advertisement or promotional content; a database associated with the server, in communication with the device, and configured to store an identifier associated with the driver, the encoded driving information, predicted future typical route segments that the driver is likely to travel over a certain period of time and associated times of day based on the encoded driving information, and advertisements or promotional content received from advertising providers; a processor associated with the server, in communication with the database and the device, and configured to determine the predicted future typical route segments and classify the driver into one or more groups based on the encoded driving information, and further configured to (i) associate the advertisement or promotional content with at least one route segment corresponding to the advertisement or promotional content in response to a request from an advertising provider, (ii) determine a point along the route segment at which the advertisement or promotional content is to be presented to the driver to provide a sufficient amount of time for the driver to take an action associated with the advertisement or promotional content, (iii) cause the device to present the advertisement or promotional content to the driver at the determined point along the route segment, and (iv) provide the driver with a share of advertising revenue if the driver responds to the advertisement or promotional content. - View Dependent Claims (10, 11, 12, 13)
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14. A system for collecting driving information and classifying drivers, including human drivers or self-driving systems, the system comprising:
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a device associated with a driver and a vehicle and configured to (i) collect driving information, the driving information including routes driven in the vehicle, geocoded locations, mileage, times of day, and speeds, (ii) enable and disable the collection of driving information based on location and movement of the device to reduce use of power and bandwidth, (iii) encode the driving information, and (iv) transmit the encoded driving information to a server; a database associated with the server, in communication with the device, and storing an identifier associated with the driver, the encoded driving information, and predicted future typical route segments that the driver is likely to travel over a certain period of time and associated times of day based on the encoded driving information; and a processor associated with the server, in communication with the database and the device, and configured to determine the predicted future typical route segments and classify the driver into one or more groups based on the encoded driving information; the processor being further configured to classify, into the one or more groups, a group of drivers or a fleet of self-driven or partially self-driven vehicles that use materially similar underlying self-driving technology component software, hardware, or sensor configuration; the device used to collect driving information including (i) a device associated with each driver and its associated vehicle or (ii) processors and systems associated with a self-driven or partially self-driven vehicle, the driving information including mileage, routes driven by the vehicle, time of day, and speed; and the processor being further configured to; classify the driver into one or more groups based on the encoded driving information by determining an insurance risk for each driver or, in a case of a fleet of self-driven or partially self-driven vehicles, determining an insurance risk by aggregating the encoded driving information of all vehicles of the fleet that uses similar underlying self-driving technology components, the insurance risk determination including applying (i) a plurality of features of the routes driven including speed limit, historical claims, and zip codes traversed, and (ii) a plurality of features of the driver including historical routes driven, driving behavior, times of day, and (iii) if known, age, gender, zip code, vehicle identification number, driver'"'"'s license number, vehicle information, credit score, and historical infractions or, in a case of a fleet of self-driven or partially self-driven vehicles, the underlying driving technology including sensors sensitivity, historical cumulative mileage, and associated claims, to assigned weights for scaling and determining the risk; present the driver or underlying driving technology insurance risk classification to a plurality of entities; receive requests from at least one of the entities to send promotional messages to drivers within a specific risk classification or provide insurance for or offer services to the driver or fleet of self-driven vehicles using the underlying driving technology; and enable selection of one of the entities to provide insurance for or offer services to the driver or fleet of self-driven vehicles using the underlying driving technology. - View Dependent Claims (15, 16, 17)
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Specification