Conference article

In recent years, to increase transportation capacity, new intelligent signalling systems such as moving block have been proposed and put in operation. In addition, research and development on prediction control are now ongoing. Prediction control is a kind of optimization of train operation curves to minimize train headway, which leads to decrease the propagation of train delay. Hence, it is important to estimate the effects of new signalling systems or train control systems because replacement of current system may incur high costs. In this study, we first proposed and formulated new methods for applying prediction control for under both fixed and moving block. Then, we developed new functions on Train Operation/Passenger Behaviour Simulator to analyse the activity of trains with prediction control, taking into account the drivers’ operational requirements. Finally, we applied the simulation system to an actual commuter line, aiming to evaluate the quantification of effects of moving block and prediction control. As a result, we confirmed that both moving block and prediction control are effective to decrease train headway, which lead to the faster recovery from delay.

moving block, prediction control, train traffic control, simulation, passenger flow