Overview
Topic status: We're looking for students to study this topic.
There are numerous near-miss incidents on rail level crossings each year, however, the reporting of these incidents may be inconsistent with actual events due to issues such as the unwillingness of drivers to report incidents or divulge their own errors for fear of action being taken against them. Accurate incident reporting is important to help identify why accidents do not occur, evidence system-wide hazards and identify where safety improvements can be made. The PhD thesis will investigate the use of image processing for the automated evaluation of level crossing incidents both from the perspective of the train driver, using video taken from the train cab, and from fixed video cameras at level crossings. The research aims to develop an automated incident reporting system and the algorithms necessary to identify and classify different types of incidents.
A scholarship for this topic is available.
- Study level
- PhD
- Supervisors
- QUT
- Organisational unit
Faculty of Science and Technology
- Research area
- Contact
- Please contact the supervisor.
Professor Andry Rakotonirainy
