Automatic Passenger Detection in Safety Critical Mass Transit Environments

Automatic Passenger Detection in Safety Critical Mass Transit Environments

Enhancing user safety constitutes a major issue in railway transport. In this paper, a novel solution for detection and identification of objects falling on railway tracks is proposed. This solution is based on a system using a set of consecutive ultra wideband (UWB) monostatic radars fed by a common transmission line. The main objective of this work is to study the different radiofrequency and...

Passenger safety in cars.

Comparison of child passengers between January 1983 and 1984 showed an increased use of rear safety restraints after the wearing of front seat belts became mandatory. In 1984, however, only 25% of children were restrained, most commonly in a safety seat.

Automatic Safety Helmet Wearing Detection

Surveillance is very essential for the safety of power substation. The detection of whether wearing safety helmets or not for perambulatory workers is the key component of overall intelligent surveillance system in power substation. In this paper, a novel and practical safety helmet detection framework based on computer vision, machine learning and image processing is proposed. In order to asce...

Common-Lines and Passenger Assignment in Congested Transit Networks

Equipment Collaboration Expressions in Automatic Test of Safety Critical Systems

-The trustworthiness of safety critical system (SCS) is very important. To assess their trustworthiness depends on data from test. In order to ensure the reliability and validity of test data, especially for such complex SCS, development of test languages is inevitable trend for automatic test of SCS. As general test language for SCS should be independent of specific equipment, in the paper typ...