Railway Accidents and "Safety First"

Knowledge Based System for the Evaluation of Safety and the Prevention of Railway Accidents

This paper describes a contribution to improving the usual safety analysis methods used in the certification of railway transport systems. The methodology is based on the complementary and simultaneous use of knowledge acquisition and machine learning. The purpose is contributed to the generation of new accident scenarios that could help experts to conclude on the safe character of a new rail t...

First Experiment on Modeling Safety LifeCycle Process in Railway Systems

The conception and design of Resource Constrained Embedded Systems (RCES) is an inherently complex endeavor. Non-functional requirements from security and dependability are exacerbate this complexity. Model-Driven Engineering (MDE) is a promising approach for the design of trusted systems, as it bridges the gap between design issues and implementation concerns. The purpose of process models is ...

Accidents, Safety and Human Error

Objective: We assessed the driving skills of novice traditionally trained, novice earlytrained, and experienced drivers to evaluate whether supervised early training could improve young drivers’ skills. Background: The overall representation of young male drivers in car crashes is a recurrent problem in developed countries. To prevent this overrepresentation, France institutes an early driver t...

Accidents, Safety and Human Error

Objective: We investigated whether intelligent advanced warnings of the end of green traffic signals help drivers negotiate the dilemma zone (DZ) at signalized intersections and sought to identify behavioral mechanisms for any warning-related benefits. Background: Prior research suggested that warnings of end of green can increase slowing and stopping frequency given the DZ, but drivers may som...

First Aid in Accidents