System and methods for displaying contextualized driver scoring and coaching feedback

Abstract

Embodiments of the present disclosure present systems, devices, methods, and computer readable medium for contextual driver evaluation and feedback. The disclosed techniques allow for a graphical user interface to collect and annotate trip data from various sensors integrated in a mobile device for a user. The techniques presented describe the segmentation of the data into one or more populations and the identification of event and behavior features for each segment in order to evaluate a driver's ability. The techniques described present this information to the user through a graphical user interface that includes a driver score and coaching tips to improve the driver's future behavior.

What is claimed is: 
     
         1 . A method for displaying a graphical user interface on a computing device with a display, comprising:
 displaying a soft-key selector switch to allow a driver to indicate whether the driver is on-duty or off-duty, the soft-key selector switch controlling a collection of trip data for the driver;   displaying a score meter on a display, the score meter comprising a multi-colored graduated bar;   displaying an indicator on the score meter, the indicator representing a total driver score a selected driver, the total driver score calculated from a plurality of segment scores, wherein the segment scores are calculated from trip data associated with one or more driving trips, wherein the segment score indicates a comparison between one or more trip features of a first trip segment and one or more population characteristics of one or more populations; and   displaying one or more coaching tips on the display to indicate how the driver can improve the total driver score.   
     
     
         2 . The method of  claim 1 , wherein the trip data includes motion data comprising one or more of the following representations of driving conditions: location, vehicle bearing, velocity, acceleration, and jerk. 
     
     
         3 . The method of  claim 1 , wherein a plurality of nonconsecutive trip segments associated with a population having one or more common population characteristics are processed as one trip segment. 
     
     
         4 . The method of  claim 1 , wherein the one or more of population characteristics correspond to one or more of the following driving conditions: driver identity, driver age, geographic location, source of trip data, vehicle speed, vehicle weight, vehicle type, time of day, traffic conditions, weather, topography, population density, and cultural norms. 
     
     
         5 . The method of  claim 1 , wherein the graphical user interface further comprises a focus score for the driver. 
     
     
         6 . The method of  claim 1 , wherein the graphical user interface further comprises a handling score for the driver. 
     
     
         7 . The method of  claim 1 , wherein the graphical user interface further comprises a ranking for the driver out of a plurality of drivers. 
     
     
         8 . The method of  claim 1 , wherein the graphical user interface further comprises a team label for the driver. 
     
     
         9 . The method of  claim 1 , wherein one or more of the segment scores correspond to one or more of the following scoring metrics: aggression, distraction, eco, and overall performance. 
     
     
         10 . The method of  claim 1 , wherein the segment scores are used to calculate one or more scaled segment scores, wherein scaled segment scores indicate a normalized distribution of the segment scores. 
     
     
         11 . The method of  claim 10 , wherein the trip data is further processed to calculated scaled segment scores for each trip segment of the one or more driving trips, and wherein a trip score is calculated by weighting and aggregating a plurality of the one or more scaled segment scores. 
     
     
         12 . The method of  claim 10 , wherein a plurality of trip segments from the one or more driving trips are processed as one trip segment, each of the plurality of trip segments being associated with one or more of the populations having one or more common population characteristics and one or more common driving conditions. 
     
     
         13 . The method of  claim 12 , wherein a driver score is calculated by weighting and aggregating a plurality of the one or more scaled segment scores. 
     
     
         14 . The method of  claim 1 , wherein the one or more of trip features correspond to one or more of the following events: acceleration, brake, turn, jerk, swerve, speeding, phone movement, and crash. 
     
     
         15 . The method of  claim 1 , wherein one or more event feature thresholds are multi-variable event feature thresholds, each multi-variable event feature threshold comprising a function of a plurality of event feature thresholds. 
     
     
         16 . The method of  claim 1 , wherein the trip data associated with the first trip segment is processed using event feature thresholds associated with the one or more associated populations. 
     
     
         17 . The method of  claim 1 , wherein the trip data is collected by a phone, and wherein behavior features indicate a duration of the first trip segment in which there was phone movement relative to a driving condition. 
     
     
         18 . A non-transitory computer readable medium for storing processor-readable instructions configured to cause a processor to:
 displaying a soft-key selector switch to allow a driver to indicate whether the driver is on-duty or off-duty, the soft-key selector switch controlling a collection of trip data for the driver;   displaying a score meter on a display, the score meter comprising a multi-colored graduated bar;   displaying an indicator on the score meter, the indicator representing a total driver score a selected driver, the total driver score calculated from a plurality of segment scores, wherein the segment scores are calculated from trip data associated with one or more driving trips, wherein the segment score indicates a comparison between one or more trip features of a first trip segment and one or more population features of one or more populations; and   displaying one or more coaching tips on the display to indicate how the driver can improve the total driver score.   
     
     
         19 . A computing device, comprising:
 a display;   one or more processors configured to:
 display a soft-key selector switch to allow a driver to indicate whether the driver is on-duty or off-duty, the soft-key selector switch controlling a collection of trip data for the driver; 
 display a score meter on a display, the score meter comprising a multi-colored graduated bar; 
 display an indicator on the score meter, the indicator representing a total driver score a selected driver, the total driver score calculated from a plurality of segment scores, wherein the segment scores are calculated from trip data associated with one or more driving trips, wherein the segment score indicates a comparison between one or more trip features of a first trip segment and one or more population features of one or more populations; and 
 display one or more coaching tips on the display to indicate how the driver can improve the total driver score.