Novel design based Internet of Things to counter lone wolf, part B-Berlin attack

摘要

This paper proposes a new design approach for Intelligent Transportation Systems (ITS) to counter the lone wolf threats. The design uses the existing techniques in ITS based Internet of Things (IoT) and Electroencephalogram (EEG), to detect the irregularity in driver's behavior, which can be categorized into threatened or violated behaviors. In threaten behaviors like deliberate run-over accidents and/or vehicle hijacking, the system will stop the vehicle as soon as possible and inform the security agency to ensure a speed response. In violated behavior like driver drowsiness, the system will alert the driver or inform the responding authorities and stop the vehicle, depending on the level of danger. The proposed system can be attached to vehicles as an embedded system. To minimize the consequences of the vehicle fast stopping, it is proposed to green the next traffic light signs. By applying this system in vehicles, a lot of accidents can be avoided, in particular those caused by lone wolves like deliberate run-over accidents or hijacking of vehicles.