The disclosed embodiments are directed to adjusting the operational characteristics of a black box installed in a vehicle. In one embodiment a method is disclosed comprising classifying a mental state of a driver of an automobile, loading at least one setting based on the mental state, the setting defining an operational characteristic of a black box installed in the automobile, configuring the black box using the at least one setting, and recording one or more events by the black box.

Monitoring and reporting methods and apparatus include the acquisition of detailed aircraft state and systems data, analysis of the collected data, and transmission of the collected data and/or analysis of the collected data to a destination automatically via a portable electronic device which is carried onto and off of the aircraft by the pilot or another crew member. More particularly, monitoring and reporting methods and apparatus include collecting analog or digital sensor data onboard an aircraft, analyzing the data in real-time, and automatically transmitting the data and/or analysis of the data to a destination including a portable storage device such as a portable computer, electronic flight bag (EFB), or smart phone, by means such as wireless transmission, for automatic transfer to another destination when the portable computer, electronic flight bag (EFB), or smart phone is off of the aircraft.

Systems and methods are disclosed for data collection from landing gear components and providing predictive analytics. Example methods include sending a signal to excite wheel assembly sensors located on a vehicle, and receiving a return signal encoded with measurement data. The measurement data is then stored on an RFID card, on an edge node, and/or on a remote server. Upon receipt of the measurement data by a remote server, the remote server analyzes the data to generate predictive maintenance analytics data.

The present disclosure provides a device associated with a vehicle, the device including a set of sensors configured to generate a set of data associated with the vehicle; and one or more controllers configured to analyze the set of data to determine if an accident involving the vehicle has occurred, responsive to a determination that an accident involving the vehicle has occurred, determine an accident-severity score associated with the vehicle involved in the accident, the accident-severity score being based on a set of accident-severity scoring rules and at least a portion of the set of data, and transmit an output signal representative of the determined accident-severity score.

A method and system for student driver monitoring which includes configuring student and instructor devices. For each driving session, configuring at least one the student and instructor devices for pairing the devices; generating a driving session log; monitoring continued pairing of the devices; and uploading the driving session log to a driver training database. The method also includes enabling authorized access to the database to retrieve training information. Pairing the student and instructor devices requires the student and instructor devices to be within a limited range of one another, or in the same vehicle. Vehicle and camera information can be collected for the session log. A seat belt sensor system can indicate whether the student seatbelt is fastened. An unfastened student seatbelt can prevent pairing of the student and instructor devices. Pairing the student and instructor devices can include confirming authentication information.

A communication log aggregation device includes: a communicator that obtains flow information including one or more flow records and first statistical information for each flow from each of collection devices, the one or more flow records each including flow identification information included in a message received by at least one observer that is disposed in a control network system, the flow being classified based on the flow identification information, the collection devices each collecting the one or more flow records and the first statistical information for each flow from the message received by the observer; and a flow aggregator that generates aggregated flow information by performing at least one of the following: (i) selecting at least one of the one or more flow records, (ii) adding second statistical information, and (iii) deleting at least one of the one or more flow records, and outputs the aggregated flow information.

Methods are provided for remotely starting up one or a plurality of vehicles. These methods involve starting up hardware and/or software modules of the vehicle in a particular order so as to account for dependencies among the various modules. In one form, states of various hardware and/or software modules in the vehicle, and errors observed in starting up various modules and troubleshooting is applied in an automated manner. Moreover, the methods may involve ensure proper startup of modules for performing a localization procedure for the vehicle.

A diagnostic device, in accordance with a marker condition setting function, sets marker conditions for adding markers to collected data. Next, the collected data are read out from a data collecting device. Next, in accordance with a marking function, markers are added to the collected data at points in time when the set marker conditions are satisfied. Then, in accordance with a file creation function, with reference to the markers of the collected data, the collected data that took place within a predetermined time range before and after the markers is extracted, and the collected data is stored in individual analysis files.

Embodiments of the present invention utilize mobile devices to provide information on a user's behaviors during transportation. For example, a mobile device carried by a user can be used to detect and analyze driving behaviors during trips in vehicles. The mobile device can further be used to assign and display scores relating to the driving behaviors, scores for individual trips, and an overall driving score for the particular user.

A system and method for computer assisted event based reconstruction and forensic analysis of vehicle accidents is provided. The system comprises an event capture device that records audio, video, and other information that collectively comprise one or more events related to a vehicle accident. The event data, including the audio, video, and other related information, is provided to an evaluation server where it is stored in a database for forensic analysis of the events comprising the vehicle accident. Event data for a specific automobile accident event is analyzed and compared to similar types of automobile accident event data in order to forensically analyze the specific event and correlate causal relationships with key elements of the event data to determine the likely cause of the accident or the factors contributing to the accident. Correlation information is also stored at the evaluation server to provide historical data points about causal relationships and key elements.