Provided are a mobile terminal having a display, and particularly, to a mobile terminal capable of transmitting and receiving data to and from a vehicle and a system including the same. The mobile terminal includes a communication unit communicating with a vehicle having a vehicle display, and a controller receiving driving information from the vehicle using the communication unit, wherein the controller executes a certain function in response to occurrence of an event, selects any one execution screen, among a plurality of execution screens corresponding to the executed function, on the basis of the driving information, and transmits the any one execution screen to the vehicle through the communication unit so that the any one execution screen is output on the vehicle display.

Systems, methods and apparatuses to control power usage of a data storage device. For example, the data storage device has a temperature sensor configured to measure the temperature of the data storage device are provided. A controller of the data storage device determines a set of operating parameters that identify an operating condition of the data storage device. An inference engine of the data storage device determines, using an artificial neural network in the data storage device and based on the set of operating parameters, an operation schedule for a period of time of processing input and output of the data storage device. The operation schedule is configured to optimize a performance of the data storage device in the period of time without the temperature of the data storage device going above a threshold.

A system for imaging and analyzing a vehicle may include a frame having a central passage, wherein the central passage is configured and dimensioned to allow a vehicle to pass through. The frame may include, for example, a pair of substantially vertical legs connected at the top by a cross member, wherein the legs and cross member define the central passage. One or more bollards may be positioned in front of and/or behind the frame. A plurality of cameras within the each leg, cross member, and/or bollard may be directed toward the passage to record video images of a passing vehicle. Integrated LED array panels may provide bands of light to aid in detection of surface anomalies, for example by simultaneous analysis of symmetrical sides of the vehicle.

Systems and methods for crash determination in accordance with embodiments of the invention are disclosed. In one embodiment, a vehicle telematics device includes a processor and a memory storing a crash determination application, wherein the processor, on reading the crash determination application, is directed to obtain sensor data from at least one sensor installed in a vehicle, calculate peak resultant data based on the sensor data, where the peak resultant data describes the acceleration of the vehicle over a first time period, generate crash score data based on the peak resultant data and a set of crash curve data for the vehicle, where the crash score data describes the likelihood that the vehicle was involved in a crash based on the characteristics of the vehicle and the sensor data, and provide the obtained sensor data when the crash score data exceeds a crash threshold to a remote server system.

Described herein is a system and method for predicting when repair and maintenance needs to be performed on a vehicle. The estimates can be based on one or more of in-vehicle sensor measurements during vehicle usage, external observations such as weather and traffic and road conditions and manually or digitally input maintenance and service reports. The gathered information is compared to information in a database from historical maintenance and service and the resulting damage and costs for those. The information is classified by the type of vehicle and the age and usage of the vehicle. Maintaining and refreshing the information and predictive models in the system is also part of the invention.

Described herein is a system and method for predicting when repair and maintenance needs to be performed on a vehicle. The estimates can be based on one or more of in-vehicle sensor measurements during vehicle usage, external observations such as weather and traffic and road conditions and manually or digitally input maintenance and service reports. The gathered information is compared to information in a database from historical maintenance and service and the resulting damage and costs for those. The information is classified by the type of vehicle and the age and usage of the vehicle. Maintaining and refreshing the information and predictive models in the system is also part of the invention.

A method includes receiving vehicle data indicative of a least one operating characteristic of one or more vehicles and one or more fault codes from the one or more vehicles, each of the one or more fault codes having a corresponding component; aggregating the one or more fault codes based on the corresponding components of the one or more fault codes; interpreting the vehicle data and the one or more fault codes to determine a potential root cause for the one or more fault codes by comparing vehicle data of a first vehicle of the one or more vehicles to the vehicle data of the one or more vehicles; and providing a graphical user interface to a display device for depicting the one or more fault codes based on the potential root cause.

In some examples, a controller receives information of a route of a vehicle, and selects a first parameter set from among a plurality of parameter sets based on the route of the vehicle, the plurality of parameter sets corresponding to different conditions of usage of the vehicle, where each parameter set of the plurality of parameter sets includes one or more parameters that control adjustment of one or more respective adjustable elements of the vehicle. The controller causes application of the first parameter set to control a setting of the one or more adjustable elements of the vehicle.

Systems and methods for route management are disclosed. A system for use with a communication network includes an electronic logging device, a global positioning device, and a server. The server communicates via a communication network and to access vehicle data and global positioning data via the communication network. The server includes a processor(s) and a non-transitory computer-readable medium storing instructions thereon, that when executed by the one or more processors, cause the processor(s) to: analyze the vehicle data to identify start-and-stop events of the vehicle; analyze each of the start-and-stop events with respect to criteria to identify which of the start-and-stop events is associated with an actual visit event; identify the locations and the times from the global positioning data that correspond to the actual visit events; and correlate the locations and the times of the vehicle with the respective ones of the actual visit events.

A heating system includes at least one electric heater disposed within a fluid flow system and a control device that is configured to determine a temperature of the at least one electric heater based on a model, at least one fluid flow system input, and at least one heater input. The at least one heater input includes at least one physical characteristic of the heating system, the at least one physical characteristic includes at least one of a resistance wire diameter, a heater insulation thickness, a heater sheath thickness, a conductivity, a specific heat and density of the material of the heater, an emissivity of the heater and the fluid flow pathway, and combinations thereof. The control device is configured to provide power to the at least one electric heater based on the temperature of the at least one electric heater.