A vehicle, such as an articulated bus, includes a lighting system with a light emitting surface. The lighting system being configured for displaying a first lighting configuration and a second lighting configuration. The first lighting configuration and the second lighting configuration are displayed by different proportions of the light emitting surface. The vehicle further receives a monitoring device with a position monitoring module configured for monitoring the position of a road user with respect to the vehicle. The lighting system being further configured for switching from the first lighting configuration to the second lighting configuration depending on the position of the road user with respect to the vehicle. A corresponding monitoring process is further provided.

A collision avoidance assistance device includes a first determination section that determines a probability that a vehicle changes course, by using a recognition result of a road structure and a detection result by internal field sensors, a second determination section that determines a probability that the vehicle changes course, by using information related to a traveling situation output, a decision section that decides an operation mode of collision avoidance assistance using a collision avoidance assistance mechanism, by using a combination of a determination result of the first determination section and a determination result of the second determination section, and an assistance section that performs a process for controlling the collision avoidance assistance mechanism in the operation mode that has been decided by the decision section, upon detection of a collision probability with an obstacle using the information output by information output devices.

A vehicle visual signaling device or VVSD may be provided. The VVSD may be used in conjunction with existing vehicle lighting features, and may in some exemplary embodiments transmit and receive electromagnetic radiation in the form of a radar signal. The device may emit a high intensity flashing amber or yellow light that is purposed to make the subject vehicle having the VVSD more conspicuous, assisting the subject vehicle to become more visible and helping to prevent potential accidents in high risk accident situations, such as a vehicle pulling in front of another vehicle and head-on collisions. The VVSD may utilize LEDs and radar transmitters/receivers independently housed and controlled by a microcontroller. The device may be designed for use on passenger cars, motorcycles, trucks, RVs, OHRVs, ATVs, snowmobiles and the likes thereof.

A vehicle visual signaling device or VVSD may be provided. The VVSD may be used in conjunction with existing vehicle lighting features, and may in some exemplary embodiments transmit and receive electromagnetic radiation in the form of a radar signal. The device may emit a high intensity flashing amber or yellow light that is purposed to make the subject vehicle having the VVSD more conspicuous, assisting the subject vehicle to become more visible and helping to prevent potential accidents in high risk accident situations, such as a vehicle pulling in front of another vehicle and head-on collisions. The VVSD may utilize LEDs and radar transmitters/receivers independently housed and controlled by a microcontroller. The device may be designed for use on passenger cars, motorcycles, trucks, RVs, OHRVs, ATVs, snowmobiles and the likes thereof.

Generating sounds in a vehicle, including generating turn indicator/hazard warning lights (TI/HWL) sounds via a first channel, and generating additional sounds via a second channel, where the second channel is different than the first channel.

Generating sounds in a vehicle, including generating turn indicator/hazard warning lights (TI/HWL) sounds via a first channel, and generating additional sounds via a second channel, where the second channel is different than the first channel.

A light bar has a circuit board positioned within a housing and having a plurality of light emitting diodes (LEDs) or a thin-film-transistor liquid-crystal display (TFT LCD) is configured to transmit light. The housing has wiring electrically connected to a controller. The controller is configured to receive signals from the electrical system of the vehicle, interpret the signals received from the electrical system of the vehicle, and in response automatically control illumination of independently controllable segments of the vehicle light bar. The controller is initially programmed to perform specific function(s) and/or strobe according to specific patterns and is thereafter at least partially restricted from being reprogrammed by a user to serve other function(s), either by restricting the emission of light in at least one color and/or preventing specific strobing pattern(s).

A light bar has a circuit board positioned within a housing and having a plurality of light emitting diodes (LEDs) or a thin-film-transistor liquid-crystal display (TFT LCD) is configured to transmit light. The housing has wiring electrically connected to a controller. The controller is configured to receive signals from the electrical system of the vehicle, interpret the signals received from the electrical system of the vehicle, and in response automatically control illumination of independently controllable segments of the vehicle light bar. The controller is initially programmed to perform specific function(s) and/or strobe according to specific patterns and is thereafter at least partially restricted from being reprogrammed by a user to serve other function(s), either by restricting the emission of light in at least one color and/or preventing specific strobing pattern(s).

A method and system may identify vehicle collisions in real-time or at least near real-time based on statistical data collected from previous vehicle collisions. The statistical data may be used to train a machine learning model for identifying whether a portable computing device is in a vehicle collision based on sensor data from the portable computing device. The machine learning model may be trained based on a first subset of sensor data collected from vehicle trips involved in vehicle collisions and a second subset of sensor data collected from vehicle trips not involved in vehicle collisions. When a current set of sensor data is obtained from a portable computing device in a vehicle, the current set of sensor data is compared to the machine learning model to determine whether the portable computing device is in a vehicle involved in a vehicle collision.

An automatic alarm system for a vehicle includes a sensor adapted to detect electromagnetic data, a computer system, and an automatic alarm mechanism. The computer system receives data from the sensor. A computer processor analyzes the data from the sensor to determine whether a pattern from the electromagnetic data has been detected and compares the pattern of electromagnetic data detected by the sensor with known patterns of electromagnetic data emitted by emergency vehicles that are stored in a library. The automatic alarm mechanism activates in response to the processor determining that the comparison matches a known pattern of electromagnetic data for an emergency vehicle resulting in the computer processor sending a first signal to activate an alarm of the vehicle.