Assessment of safe and sustainable workload for train controllers and signallers

As a result of the introduction of advanced technology train control systems With high degrees of automation. there is a need to develop a Workload Assessment Model for Area Controllers and Train Controllers which will enable the design of each Controller's Diagram/Scope to ensure a safe and efficient workload. We propose and test a stochastic model of complexity that seeks to describe the cognisant workload faced by a controller in normal and emergency modes. In addition 10 describing the demands experienced, it provides advice as to the levels of complexity that could be determined as safe and sustainable, and where intervention may be necessary for ad-hoc events. Theoretically, the model incorporates the variability in human performance and work methods observed in dealing with an increasing level of incidents while also making value judgments on the productivity and safety of those methods. In evaluating the accuracy of the model, it is apparent that limitations in human performance remain, despite the apparent advantages of new technology in managing high workload situations.