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Evaluation and training of train drivers during normal train operations
conference contributionposted on 06.12.2017, 00:00 authored by Scott SimsonScott Simson, Colin ColeColin Cole, P Wilson, T McLeod, T Sinclair
The Centre for Railway Engineering (CRE) and Queensland Rail (QR) have developed a software system, (Driver Information System), to provide train drivers with a report on the train handling for selected sections of their last train run. The software utilises locomotive control settings and velocity data recorded by the Automatic Train Protection, (ATP) system. The software package developed at CRE searches the ATP record for driver controls identified as likely to cause unfavourable train dynamics or otherwise to damage to rollingstock. Data containing unfavourable train controls can then be viewed for anlysis by the train drivers or by train management improvement officers thus allowing for self improvement training and auditing functions. The data may also be simulated using specially adapted version of the CRE Longitudinal Train Simulator (CRE-LTS) for further analysis. The simulated train is constructed to match the actual train and is synchronised with actual track positions throughout the simulation. The output of the simulation gives complete train dynamics information for both engineering analysis and driver scoring. This makes available a system for on-the-job training and evaluation of train drivers during normal operations. Several areas of cost benefit have been identified. Obvious savings are due to the capability of completing driver training and evaluation during normal train operations. Savings can be realised in terms of wages, travel and accommodation for driver training simulator time. Savings are also expected from the continuing evaluation of the recorded data. Early results from the implementation of this system identified a common driving practice that was previously though to be uncommon in train operations. A wide variability in fuel consumption was also identified. Savings will emerge from the ability to focus efforts of driver training, scheduling, marshalling and maintenance staff on problem trains, problem driving practice and problem track sections. Already the system described here has resulted in improvements in train operations.