Geospatial data based assessment of driver behavior

A method of a server device, comprising:

• determining, through the server device, telemetry data is associated with a vehicle of a plurality of vehicles communicatively coupled in contact with the server device;
• comparing, through a processor of the server device communicatively coupled to a memory, the telemetry data with driver objective data associated with a driver of the vehicle;
• determining, through the processor, a total variance between the telemetry data and the driver objective data,
• wherein determining the total variance between the telemetry data and the driver objective data further comprises executing an algorithm by the processor,
• wherein the algorithm, comprises:
• calculating differences between the vehicle's telemetry data to speed limit data, engine idling duration data, vehicle acceleration data, and vehicle deceleration data of the driver objective data,
• dividing the calculated differences by their respective driver objective data to obtain percentage values, and
• adding the percentage values to obtain the total variance;
• generating, through the processor, a performance score of the driver indicative of an efficiency rating associable with the driver, based on the total variance;
• and
• displaying, through a dashboard display of the vehicle through a reporting module, the performance score of the driver, along with performance scores of other drivers driving the plurality of vehicles,
• wherein:
• the speed limit data is a posted speed limit at a particular geospatial location surrounding a present location of the vehicle as determined through a mapping data source of the server device and calculating the difference between the vehicle's telemetry data to the speed limit data comprises calculating the difference between the vehicle's average speed and the posted speed limit,
• the engine idling duration data is a predetermined and preferred amount of time an engine of a vehicle is idle in the geospatial vicinity surrounding the present location of the vehicle and calculating the difference between the vehicle's telemetry data to the engine idling duration data comprises calculating the difference between the vehicle's engine idling duration time and the predetermined and preferred amount of time,
• the vehicle acceleration data is a predetermined and preferred average acceleration rate of a vehicle in the geospatial vicinity surrounding the present location of the vehicle and calculating the difference between the vehicle's telemetry data to the vehicle acceleration data comprises calculating the difference between the vehicle's average acceleration rate and the predetermined and preferred average acceleration rate, and
• the vehicle deceleration data is a predetermined and preferred average deceleration rate of a vehicle in the geospatial vicinity surrounding the present location of the vehicle and calculating the difference between the vehicle's telemetry data to the vehicle deceleration data comprises calculating the difference between the vehicle's average deceleration rate and the predetermined and preferred average deceleration rate.