Abstract
With the recent developments in information and communication technologies, automatic train operations have been attracting increasing attention. In this paper, we propose a novel train group control method that utilizes train operation forecasts under complex timetable disruptions. In particular, we examine the effects of the proposed method using simulation results. The results reveal that the proposed method reduces the number of iterations required for searching the optimal cruising speed compared with bisection methods.
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