Abstract: Systems, methods, and related computer programs are provided wherein vehicle operation data is extracted from an internal automotive network. In an embodiment, a method comprises: i) obtaining data available on the internal automotive network via iterative interrogation; ii) analyzing the obtained data to identify a set of candidate data values having at least one common feature within a suitable proximity margin; and iii) heuristically selecting a candidate data value best matching one or more selection criteria to identify a true value. These systems and methods allow data to be extracted from proprietary and non-proprietary busses in the internal automotive network.

Abstract: Systems and methods for the generation and sharing of vehicle operation are provided. The system includes: a data harvesting device connected to a vehicle, the data harvesting device capturing vehicle information from the vehicle and processing the vehicle information to generate current vehicle operation data; and a computer system in communication with the data harvesting device, the computer system including one or more server computers. The computer system includes a database system for logging the current vehicle operation data, the database system including a profile for the vehicle configured to store the received current vehicle operation data. The computer system is configured to transmit the current vehicle operation data to one or more remote server computers. The computer system is also operable to enable the sharing of vehicle operation data and related information via social networks.

Abstract: Systems, methods, and related computer programs are provided wherein vehicle operation data is extracted from an internal automotive network. In an embodiment, a method comprises: i) obtaining data available on the internal automotive network via iterative interrogation; ii) analyzing the obtained data to identify a set of candidate data values having at least one common feature within a suitable proximity margin; and iii) heuristically selecting a candidate data value best matching one or more selection criteria to identify a true value. These systems and methods allow data to be extracted from proprietary and non-proprietary busses in the internal automotive network.