Based on train operation data, Bayesian networks (BN) are used to model the cascading
effects of traffic control actions and their influences (such as changes in train delays) for two …

A virtually coupled train set (VCTS) is regarded as a complete train. To better serve
passengers, train units (TUs) in a VCTS require synchronous stopping and departure with …

Railway operations are regularly affected by incidents such as disturbances and disruptions,
which cause temporary operational restrictions to the trains in the network. Compared to real …

Cloud computing leads to efficient resource allocation for network users. In order to achieve
efficient allocation, many research activities have been conducted so far. Some researchers …

With the proliferation of electric vehicles (EVs), the transportation network and power grid
become increasingly interdependent and coupled via charging stations. The concomitant …

Traffic control in mass transit consists of the regulation of both vehicle dynamics and
passenger flows. While most of the existing approaches focus on the optimization of vehicle …

In high-speed railway systems, unexpected disruptions may cause the delays of multiple
trains and greatly affect the service quality to passengers. Our study proposes a deep …

Chinese high-speed railway has developed rapidly in the more intelligent and automatic
direction over the past few decades. In this paper, we consider the optimization problem of …

The arrival interval at high-speed railway stations is one of the key factors that restrict the
improvement of the train following intervals. In the process of practical railway operation …

With the development of computing intelligence, reinforcement learning has recently
proposed to solve the problem of train timetable rescheduling (TTR). However, the …