Automatic Train Operation (ATO) is one of the most important functions for an advanced train control system in high-speed railway systems. Research on optimization methods for ATO has been done before it is implemented in a train control system. From a theoretical point of view, it can be formulated as one of the functions of multi-objective Optimal Control Theory. This paper presents a new mul...

A new era of automatic train control has begun, in which mass transit trains will be commanded with precision beyond the capabilities of past systems. Although transit properties such as San Francisco's Bay Area Rapid Transit (BART) have controlled their trains automatically for decades, the control systems have limited capability. Increases in capacity now require trains to run closer together...

In order to solve the problem that automatic train operation control system considering the single factor and control is not easy to be accurate, a multi-objective optimization (MO) based on improved genetic algorithm (GA) and fuzzy PID control method is proposed in this paper. Firstly, based on train operation characteristics, a multi-objective model of train operation process is established. ...

Traditionally train control and signalling systems have been relying heavily on human operators. However, with the advances in technology, electronic systems have become not only economical to use but also increasingly reliable to gain the confidence of human operators. In this paper, we focus on some important features of the modern train control systems. We emphasize that multiple sensors hav...

Traditional control algorithms in Automatic Train Operation (ATO) system have some drawbacks, such as high energy consumption and low comfort. In this paper, two Intelligent Train Operation (ITO) models based on data mining for the subway train control are proposed combining with the driving experience. Firstly the training data set is sorted out and sieved out from the real train operation dat...