A vehicle control signal generator includes emulation circuitry for emulating at least one operation of at least one vehicle control circuit. The emulation circuitry is programmed or configured to determine or receive user input and based at least partially on the user input, generate at least one control signal for controlling at least one of the following onboard vehicle subsystems: a propulsion system, a train line control system, an air brake system, a dynamic braking system, a head of train (HOT) system, an end of train telemetry (EOT) system, a 4-Aspect cab signaling system, a positive train control (PTC) system, an event recorder system, or any combination thereof.

Systems and methods for material handling vehicle simulation are provided. In one aspect, a method for material handling vehicle simulation using a material handling vehicle includes connecting a simulation controller to a simulation port, providing an input to a soft switch on a touch screen, upon providing the input to the soft switch on the touch screen, triggering the material handing vehicle to transition from the standard mode to the simulation mode, and projecting a simulated environment onto a simulation display. The simulated environment is configured to simulate operation of the material handling vehicle on the simulation display.

Systems and methods for material handling vehicle simulation are provided. In one aspect, a method for material handling vehicle simulation using a material handling vehicle includes connecting a simulation controller to a simulation port, providing an input to a soft switch on a touch screen, upon providing the input to the soft switch on the touch screen, triggering the material handing vehicle to transition from the standard mode to the simulation mode, and projecting a simulated environment onto a simulation display. The simulated environment is configured to simulate operation of the material handling vehicle on the simulation display.

Systems and methods are described for determining a driving score for an individual and updating a related vehicle-usage profile. The system and methods may include one or more processors, sensors, or transceivers to determine that an individual associated with an auto insurance policy is located in a driver seat of a vehicle for a vehicle trip. Telematics data may be collected from the sensors that indicates a time of day and an amount of time that the individual typically drives the vehicle. The telematics may be associated with the individual and a driving score for the individual may be determined. A vehicle-usage profile for the vehicle may then be updated with the telematics data or the driving score. The vehicle-usage profile may indicate a driving behavior of the individual and an auto insurance policy may be updated based on the profile.

An information system includes an in-vehicle terminal that is mounted on a host vehicle and a server that communicates with the in-vehicle terminal. The server includes a running history DB in which a running history of the host vehicle is stored for each driver, a driving skill-level determination unit, a driving skill-level DB in which a driving skill-level determined by the driving skill-level determination unit is stored, and a distribution information control unit that distributes driving assistance information based on the driving skill-level stored in the driving skill-level DB to the in-vehicle terminal. The driving skill-level determination unit determines a driving skill-level of a driver based on the running history stored in the running history DB and a driving skill element definition list representing a difficulty level of driving predefined for each driving skill element.

According to the present disclosure, there is provided an information processing apparatus including: an acquisition unit (102) that acquires a log related to driving on a driving simulator and acquires a transition time period for mode switching obtained corresponding to the log; a learning unit (104) that learns a relationship between the log and the transition time period; and a calculation unit (302) that calculates the transition time period corresponding to a certain driving state based on a learning result of the learning unit.

Systems and methods are described for performing vehicular collision reconstruction and battery conservation for an electric or battery-powered vehicle. In various aspects, an indication of a trigger event may be detected from computer analysis of telematics data gathered by one or more sensors associated with a vehicle. The trigger event may be associated with a vehicle collision. A camera mounted on the vehicle may be activated, based upon the indication of the trigger event, to acquire an image of a second vehicle associated with the vehicle collision. Image data associated with the image may then be transmitted to a remote server computer for analysis of the image data, in which the remove server is capable of generating from the image data, a reconstruction of the vehicle collision, and determining, from the reconstruction of the vehicle collision, a cause of loss associated with the vehicle collision.

Systems and methods for material handling vehicle simulation are provided. In one aspect, a material handling vehicle simulation system includes a material handling vehicle having a plurality of controls operable to manipulate the material handling vehicle to perform a desired operation, and a vehicle controller configured to selectively transition between a standard mode where the vehicle controller is configured to instruct the vehicle to perform standard operating tasks and a simulation mode. The material handling simulation system further includes a simulation kit having a simulation display, and a simulation controller in communication with the plurality of controls and the simulation display. When the vehicle controller is in the simulation mode, the simulation controller is configured to simulate operation of the material handling vehicle on the simulation display in response to manipulation of at least one of the plurality of controls.

Systems and methods for material handling vehicle simulation are provided. In one aspect, a material handling vehicle simulation system includes a material handling vehicle having a plurality of controls operable to manipulate the material handling vehicle to perform a desired operation, and a vehicle controller configured to selectively transition between a standard mode where the vehicle controller is configured to instruct the vehicle to perform standard operating tasks and a simulation mode. The material handling simulation system further includes a simulation kit having a simulation display, and a simulation controller in communication with the plurality of controls and the simulation display. When the vehicle controller is in the simulation mode, the simulation controller is configured to simulate operation of the material handling vehicle on the simulation display in response to manipulation of at least one of the plurality of controls.

A remote operation device receives a changeover instruction to make a changeover between an actual work mode, a simulation mode, and a test mode, and executes the received mode. A server includes a work history database that stores an actual work record in the actual work mode, a simulation record in the simulation mode, and a test result in the test mode as a work history. The server calculates a skill level of an operator for a remote operation based on the work history stored in the work history database, and presents the calculated skill level.