The electromagnetic interferences (EMI) are threats that affect the reliability of the railway signalling systems. Consequently, the identification of the reliability requirements dependent on environment conditions is a major issue for signalling systems designers, and therefore for evaluators, and testing and certification bodies. Signalling systems work in the complex and heterogeneous railw...

1 The congestion problem of urban transportation is becoming increasingly critical for many 2 metropolises. The Urban Rail Transit (URT) system has attracted substantial attention due to its 3 safety, high speed, high capacity and sustainability. With a focus on providing a holistic 4 modelling framework for train scheduling problems, this paper proposes a novel optimization 5 methodology that ...

Disruptions of a railway system are responsible for longer travel times and much discomfort for the passengers. Since disruptions are inevitable, the railway system should be prepared to deal with them effectively. This paper explains that, in case of a disruption, rescheduling the timetable, the rolling stock circulation, and the crew duties is so complex that solving them manually is too time...

Increased patronage of railways in the UK in the past 20 years has put demands on rolling stock to operate at peak availability with reduced time available for maintenance. One possible tool to enable this is the use of real time fault detection and diagnosis on board railway vehicles to detect faulty components and provide information about the current running condition of the system. This pap...

How does competition in a firm's product market affect the behavior of its stock? We examine this question in a noisy rational expectations economy in which firms operate under monopolistic competition. Production is subject to productivity shocks and requires capital, raised on a perfectly competitive equity market. Investors observe firms' past profits and collect private information about th...

We estimate a large Bayesian time-varying parameter vector autoregressive (TVP-VAR) model of daily stock return volatilities for 35 U.S. and European financial institutions. Based on that model we extract a connectedness index in the spirit of Diebold and Yilmaz (2014) (DYCI). We show that the connectedness index from the TVP-VAR model captures abrupt turning points better than the one obtained...