A vehicle window glass shear system and method for causing shearing breakage of vehicle window glass under emergency conditions by a concealed and easily operated system, having a concealed handle unit having a handle, a handle-unit bracket, and a handle-unit cable brace, having a concealed shear unit mounted on the bottom edge of the vehicle window with a shear-unit bracket, window-clamping plate, and fasteners, a shear bolt with a piercing point, a shear drive wheel, and a shear-unit cable brace, and having a cable within a cable sleeve transferring the activation force from the handle unit to the shear unit, driving the shear bolt toward the vehicle window and driving the piercing point into the vehicle window causing shearing breakage of the window glass.

A method for testing the functional capability of an emergency call device of a transportation vehicle. In an emergency mode, at least one specific audio signal is generated for a vehicle passenger by the emergency call device and emitted to the interior of the transportation vehicle. For testing, the emergency call device is put into a testing mode in which the at least one audio signal intended for the emergency is generated and wherein, in the testing mode, the generated audio signal passes, within the vehicle-internal emergency call device, through a signal path which is modified compared with the emergency mode.

Disclosed herein are a vehicle emergency notification method and apparatus using interaction with an external terminal. Some of functions of a conventional vehicle emergency notification apparatus are performed by a replaceable or detachable external terminal. The apparatus may provide notification of a vehicle emergency via interaction with the external terminal. The external terminal generates a Minimum Set of Data (MSD) related to an accident involving the vehicle. A proxy Public Safety Answering Point (PSAP) receives the MSD from the external terminal. The PSAP finally determines whether an accident involving the vehicle has occurred via interaction with a proxy PSAP FE and interaction with a vehicle occupant, and requests dispatch from an emergency agency if it is finally determined that the accident involving the vehicle has occurred.

A fall detection system for detecting falls off a mobility vehicle includes a first sensor, a second sensor, and a processor disposed in the mobility vehicle or a mobile device. The first sensor is disposed on the mobility vehicle and generates a first sensor reading corresponding to movement of the mobility vehicle. The second sensor is disposed in the mobile device and generates a second sensor reading corresponding to movement of the mobile device. The processor is disposed in the mobility vehicle or the second vehicle, wherein the processor performs the following: a) retrieving the first sensor reading and the second sensor reading; b) determining a correlation between the first sensor reading and the second sensor reading and entering into a first mode if the correlation exceeds a minimum correlation threshold, otherwise repeating step a) after a first time period if the correlation is below the minimum correlation threshold; c) determining the correlation between the first sensor reading and the second sensor reading after a second time period, and entering into a second mode if the correlation is below the minimum correlation threshold; d) generating a fall detected signal if the correlation between the first sensor reading and the second sensor reading after a third time period correspond respectively to stationary movement of the mobility vehicle and the mobile device.

A passenger protection method includes obtaining in-vehicle passenger information and in-vehicle environment information; determining an abnormal state type and an abnormality degree based on the in-vehicle passenger information and the in-vehicle environment information; and determining, based on the abnormal state type and the abnormality degree, an emergency measure for reducing the abnormality degree.

Methods and systems for evaluating the effectiveness of autonomous operation features of autonomous vehicles using an accident risk model are provided. According to certain aspects, an accident risk model may be determined using effectiveness information regarding autonomous operation features associated with a vehicle. The effectiveness information may indicate a likelihood of an accident for the vehicle and may include test data or actual loss data. Determining the likelihood of an accident may include determining risk factors for the features related to the ability of the features to make control decisions that successfully avoid accidents. The accident risk model may further include information regarding effectiveness of the features relative to location or operating conditions, as well as types and severity of accidents. The accident risk model may further be used to determine or adjust aspects of an insurance policy associated with an autonomous vehicle.

A vehicle emergency system includes an accident detection unit for detecting a collision strength to generate an accident signal, a telematics unit for generating a flag signal in response to the accident signal and for storing the flag signal, and a call center server for recognizing an emergency situation when the flag signal is delivered, and for executing an emergency procedure after emergency call, in which the telematics unit, even when reset by the accident signal, checks the flag signal stored before reset, and automatically transmits at least one of the flag signal and an accident message generated based on the flag signal into the call center server.

A data recorder system for a vehicle, including an evaluation and control unit and a memory device. The evaluation and control unit continuously evaluating internal, accident-relevant driving data, and external, accident-relevant driving data, which are received and provided by a communication device from other road users and/or infrastructure objects, which are situated within a predefined detection area in the surroundings of the associated vehicle, ascertaining distance information between the associated vehicle and the other road users and/or the infrastructure objects from the internal and external, accident-relevant driving data, buffering the internal and external, accident-relevant driving data and the pieces of distance information in a buffer memory of the memory device, and, after an accident is recognized, transmitting and securing the accident-relevant driving data and distance information stored in the buffer memory, which are suitable for reconstructing the course of events leading to the accident, in a permanent memory.

The proposed method and system is a client-server system where client is an application monitoring and processing the readings of the sensors of a personal mobile device in a moving vehicle and when the possibility of a crush is predicted, transmit to the remote server a provisional alarm. If after a predefined time period a FALSE ALARM signal not received by the remote server from the client then an accident alarm ticket will be forwarded from the remote server to an emergency service center.

The invention provides a water-activatable luminescent particulate material (1) comprising particles (100), wherein each particle (100) comprises a solid state light source (10) functionally coupled with a water-activatable battery (20) and a water absorbing shell (120) enclosing at least part of the water-activatable battery (20). The invention also provides a luminescent particulate material spray device comprising a container configured to host the water-activatable luminescent particulate material.