US2019005588A1PendingUtilityA1

Enhancement using analytics based on vehicle kinematic data

61
Assignee: SPEEDGAUGE INCPriority: Apr 15, 2014Filed: Aug 14, 2018Published: Jan 3, 2019
Est. expiryApr 15, 2034(~7.8 yrs left)· nominal 20-yr term from priority
G06Q 40/08G07C 5/008
61
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Claims

Abstract

A computer-implemented method includes receiving from a telemetric apparatus carried by a first vehicle an identity of an operator of the first vehicle and kinematic data characterizing movement and first location of the first vehicle. At least one weather condition associated with the first location is received from a source of environmental data. At least one of terrain geometry of the first location, road speed limit at the first location, vehicle-to-infrastructure (V2I) data generated by an instrument proximate the first location, and vehicle-to-vehicle (V2V) data generated by an instrument proximate the first location is received from a source of location-specific data. The data received by the first communication device is stored in a database. Data from the database is provided to at least one entity.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
         1 . A method for enhancing positioning accuracy in a vehicle, the method comprising:
 storing an identity of an operator of a vehicle;   receiving kinematic data characterizing movement of the vehicle from a telematics device at the vehicle;   receiving a location of the vehicle from the telematics device;   generating a driver safety index corresponding to the identity of the operator of the vehicle based on the kinematic data characterizing the movement of the vehicle;   generating one or more offsets based on the driver safety index; and   enhancing an accuracy of the location of the vehicle by applying the one or more offsets to modify the received location of the vehicle.   
     
     
         2 . The method of  claim 1 , wherein the location of the vehicle is determined using a Global Navigation Satellite System (GNSS) receiver. 
     
     
         3 . The method of  claim 1 , wherein the location of the vehicle is determined using location specific network information corresponding to one or more wireless telecommunications networks. 
     
     
         4 . The method of  claim 1 , wherein the location of the vehicle is determined using location specific network information corresponding to one or more wireless local area networks. 
     
     
         5 . The method of  claim 1 , wherein the kinematic data characterizing the movement of the vehicle corresponds to at least one trip occurring from an engine of the vehicle turning on to the engine of the vehicle turning off. 
     
     
         6 . The method of  claim 1 , wherein generating the driver safety index based on the kinematic data characterizing the movement of the vehicle includes generating the driver safety index based on the one or more times at which the vehicle was speeding. 
     
     
         7 . The method of  claim 1 , wherein generating the driver safety index based on the kinematic data characterizing the movement of the vehicle includes generating the driver safety index based on the one or more times at which the lateral acceleration of the vehicle exceeded the predetermined threshold level for more than the predetermined threshold time. 
     
     
         8 . The method of  claim 1 , further comprising:
 receiving, kinematic data characterizing movement of the second vehicle from a second telemetric device carried by a second vehicle,; and   modifying the kinematic data characterizing the movement of the vehicle based on the kinematic data characterizing the movement of the second vehicle.   
     
     
         9 . The method of  claim 1 , further comprising:
 generating a score based at least on the kinematic data characterizing the movement of the vehicle;   identifying a deviation between the score and a norm that corresponds to a plurality of similar vehicles; and   dynamically adjusting an insurance pricing based on the deviation, wherein the insurance pricing corresponds to the vehicle.   
     
     
         10 . The method of  claim 9 , further comprising identifying that the deviation between the score and the norm exceeds a threshold, wherein the threshold is based on a standard deviation corresponding to the norm. 
     
     
         11 . The method of  claim 1 , further comprising authenticating the identity of the operator based on biometric data from a biometric sensor of the telemetric device. 
     
     
         12 . A system for enhancing the accuracy of positioning, the system comprising:
 a communication interface that receives a location of the vehicle and kinematic data characterizing movement of the vehicle from a telemetric device at the vehicle;   a memory storing instructions and an identity of an operator of the vehicle; and   a processor, wherein execution of the instructions by the processor:
 generates a driver safety index corresponding to the identity of the operator of the vehicle based on the kinematic data characterizing the movement of the vehicle, 
 generates one or more offsets based on the driver safety index, and 
 enhances an accuracy of the location of the vehicle by applying the one or more offsets to modify the location of the vehicle. 
   
     
     
         13 . The system of  claim 12 , further comprising a temporal database storing the kinematic data characterizing movement of the vehicle as a plurality of events, wherein generating the driver safety index based on the kinematic data characterizing the movement of the vehicle uses the temporal database to bias toward more recent events of the plurality of events. 
     
     
         14 . A method for vehicle analytics and feedback, the method comprising:
 storing information identifying a plurality of road segments;   receiving vehicle traffic data corresponding to the plurality of road segments and movement of a plurality of vehicles;   receiving a plurality of locations of the first vehicle along a first road segment of the plurality of road segments from a telemetric device carried by a first vehicle;   identifying one or more exceedances by the first vehicle based on the plurality of locations, each of the one or more exceedances indicating a time at which an aspect of vehicle driving exceeded one or more thresholds;   ranking the first vehicle against the plurality of vehicles based on exceedances by road segment;   generating a driver safety index for an operator of the first vehicle based at least on ranking the first vehicle against the plurality of vehicles; and   providing risk feedback based on the driver safety index.   
     
     
         15 . The method of  claim 14 , wherein one or more exceedances represent one or more times at which the first vehicle exceeded at least one of one or more speed limits. 
     
     
         16 . The method of  claim 14 , wherein the one or more exceedances represent one or more times at which a lateral acceleration of the first vehicle exceeds a lateral acceleration threshold for more than a threshold amount of time. 
     
     
         17 . The method of  claim 14 , wherein the one or more exceedances represent one or more times at which a change in heading of the first vehicle exceeded a heading change threshold. 
     
     
         18 . The method of  claim 14 , wherein the one or more exceedances are each based on an extent to which a sensor data from a sensor exceeds a sensor data threshold. 
     
     
         19 . The method of  claim 14 , wherein the risk feedback corresponds to an adjustment to an insurance pricing corresponding to the first vehicle. 
     
     
         20 . The method of  claim 14 , wherein ranking the first vehicle against the plurality of vehicles based on exceedances by road segment includes identifying that the first vehicle deviates from a norm.

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