Trimble Navigation Limited

Peoplenet Communications Corporation

Ronald Edward Konezny

James Russell Lowell

Thomas S Fansler

Kelly R Nehowig

Andrew Johnson

Andy Johnson

Kelly Nehowig

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. Models are created based on the hypothetical maximum fuel economy and the fuel economy deduction coefficients to predict fuel economy for vehicles in the at least one of the categorical groupings.

Statistical modeling and analysis of fuel-related factors in transportation industries

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.

Transaction-based fuel purchase authorization

Techniques involving connecting an in-cab computing device to an onboard computing device mounted in a vehicle. Vehicle-related information may be communicated between the in-cab computing device and onboard computing device while the in-cab computing device is connected to the onboard computing device. Techniques involve facilitating disconnection of the in-cab computing device from the onboard computing device and operating the in-cab computing device in a stand-alone mode, and facilitating reconnection of the in-cab computing device to the onboard computing device to resume operations between the in-cab computing device and onboard computing device.

Multi-mode vehicle computing device supporting in-cab and stand-alone operation

A system for managing engine idling operation is provided. The system includes a communication center communicatively coupled to at least one vehicle having an engine. A database is provided that has idling regulation information stored therein based, at least, upon geographic location. The vehicle with the engine further includes an idling detection system. The idling detection system includes an idle detect sensor, a processor and a location information module, such as a GPS receiver. The processor is operably coupled to the idle detect sensor. The location information module is operably coupled to the processor to provide position information relative to the vehicle. The processor is configured to monitor vehicle idling and provide a warning thereof based upon an idling regulation stored in the database selected by current vehicle position information.

Real-time dynamic heavy-vehicle idle alarm

Systems, apparatuses and methods for monitoring wireless communication performance. A fleet of moving vehicles equipped with communication devices communicate data call records, including a geographic location of the vehicle when the communication was attempted, to a central office. Indications of successful and unsuccessful call record communications attempts are aggregated by geographic area using the geographic location data from the vehicles. Call success rate levels for the geographic areas are determined based on the aggregated indications of successful and unsuccessful call record communication attempts. These levels may be presented on geographical maps or otherwise, and/or used for network analysis purposes.

Growing community of inventors

Shorewood, MN, United States of America

Ronald Edward Konezny