Abstract: A system and method are disclosed for analyzing location-related data and presenting location-related data and analytics. Embodiments receive raw location data of a subject being tracked, identify stops of the subject being tracked based on the raw location data, correlate the identified stops with know points of interests (POIs), and create a trips file using the raw location data, the identified stops, and the correlated information. Embodiments further extracts and processes data in the trips file, generating processed location-related data and other data, determine an analysis to perform based on the trips file, perform the determined analysis on the processed location-related data and other data to generate one or more results, and forward the results of the analysis to a client to generate a dashboard or other display to be displayed.

Abstract: A system and method of identify fuel savings opportunity in a fleet of vehicles based on a determination of fuel consumption due to modifiable use conditions is described. Modifiable use conditions, such as unauthorized usage, speeding and excessive idling, which represent opportunities for fuel savings are identified and fuel consumption based on the modifiable use conditions is determined. A user-defined statistical metric for the fleet, or a portion of the fleet, can be determined for each of the modifiable use conditions evaluated. Fuel consumption of an individual vehicle, or a group of vehicles, resulting from modifiable use conditions can be compared with a larger group of vehicle, or the fleet, to determine vehicles which correspond to a metric of the fleet. Fleet managers can use this information to modify the use conditions of individual or group of vehicles to provide fuel savings for the fleet.

Abstract: A system and method of identifying the occurrence of modifiable use conditions related to the safe use of fleet vehicles is described. Modifiable use conditions, such as the speed at which the vehicle is drive, tailgating and an excessive number of lane changes, represent opportunities to reduce unsafe uses of the vehicle. Modifiable use conditions are identified and the occurrence of such use conditions is determined. A user-defined statistical metric for the fleet, or a portion of the fleet, can be determined for each of the modifiable use conditions evaluated. The occurrence of modifiable use conditions related to safety of an individual vehicle, or a group of vehicles, can be compared with a larger group of vehicle, or the fleet, to determine vehicles which correspond to a metric of the fleet. Fleet managers can use this information to modify the use conditions of individual or group of vehicles to provide fuel savings for the fleet.

Abstract: A method for assessing the undesired use of vehicles within a fleet is described. At least one exception is defined relating to the use of vehicles within the fleet, wherein the exception is selected from the group of safety exceptions, maintenance exceptions, legal compliance exceptions, and unauthorized use exceptions. Data is received relating to the use of each vehicle within the fleet. The at least one exception is then applied to the data for each vehicle and it is determined whether any defined exceptions have occurred. A statistical metric is determined representative of the undesired use of the vehicles within the fleet based upon the defined exceptions.

Abstract: Monitoring an actionable metric associated with a fleet is disclosed. A first data set is received that includes fleet management data for the fleet. A second data set is received that includes field service data associated with the fleet. A third data set is received that includes vehicle diagnostic data and/or vehicle positioning data. A performance indicator is calculated using data elements associated with at least two of the three data sets. An actionable metric is reported, based upon the performance indicator.

Abstract: A system and method of identify fuel savings opportunity in a fleet of vehicles based on a determination of fuel consumption due to modifiable use conditions is described. Modifiable use conditions, such as unauthorized usage, speeding and excessive idling, which represent opportunities for fuel savings are identified and fuel consumption based on the modifiable use conditions is determined. A user-defined statistical metric for the fleet, or a portion of the fleet, can be determined for each of the modifiable use conditions evaluated. Fuel consumption of an individual vehicle, or a group of vehicles, resulting from modifiable use conditions can be compared with a larger group of vehicle, or the fleet, to determine vehicles which correspond to a metric of the fleet. Fleet managers can use this information to modify the use conditions of individual or group of vehicles to provide fuel savings for the fleet.