Abstract: Techniques involving modeling and analysis of operational metrics in transportation industries are disclosed. Representative methods involve defining a set of fuel consumption performance factors having a potential to impact vehicle fuel economy. Fuel consumption performance factors are received, and categorical variables are identified from at least a subset of the fuel consumption performance factors to create one or more categorical groupings. The fuel consumption performance factors associated with at least one of the categorical groupings are processed to identify a hypothetical maximum fuel economy or “baseline” for the at least one of the categorical groupings, and to identify fuel economy deduction coefficients based on the fuel consumption performance factors that adversely impact the hypothetical maximum fuel economy.

Abstract: Techniques for authorizing fuel purchases based on vehicle available fuel tank capacity. The authorization may be performed on a transaction basis, such that each fueling event may be independently authorized. A current fuel tank capacity for the vehicle is obtained, and transmitted to an authorization entity. An authorization is obtained for dispensing a quantity of fuel that does not exceed the current fuel tank capacity.

Abstract: Techniques for authorizing fuel purchases based on vehicle available fuel tank capacity. The authorization may be performed on a transaction basis, such that each fueling event may be independently authorized. A current fuel tank capacity for the vehicle is obtained, and transmitted to an authorization entity. An authorization is obtained for dispensing a quantity of fuel that does not exceed the current fuel tank capacity.

Abstract: Techniques involving modeling and analysis of operational metrics in transportation industries are disclosed. Representative methods involve defining a set of fuel consumption performance factors having a potential to impact vehicle fuel economy. Fuel consumption performance factors are received, and categorical variables are identified from at least a subset of the fuel consumption performance factors to create one or more categorical groupings. The fuel consumption performance factors associated with at least one of the categorical groupings are processed to identify a hypothetical maximum fuel economy or “baseline” for the at least one of the categorical groupings, and to identify fuel economy deduction coefficients based on the fuel consumption performance factors that adversely impact the hypothetical maximum fuel economy.

Abstract: Method and apparatus provide for electronically processing vehicle location data wherein the vehicle location data specifies a sequence of vehicle locations, and wherein the processing determines if the sequence of vehicle locations form a sequence of the vehicle's travel that is acceptable for the purposes of filing tax reports relating to the vehicle. Processing further provides for determining the acceptability of the sequence according to one or more criteria, and provides a user tools that enable the user to accept or revise the vehicle location data for the unacceptable part of the sequence.