Railway systems are time-varying and complex systems with nonlinear behaviors that
require effective optimization techniques to achieve optimal performance. Evolutionary …

Focusing on providing a modelling framework for train operation problems, this paper
proposes a new collaborative optimization method for both train stop planning and train …

The development of new technologies that allow us to know more precisely real-time public
transport (PT) passenger demand enables the introduction of new methodologies to improve …

Train stop plans and timetables play key roles in railway operation. Previous research has
demonstrated that their integration can significantly improve the quality of a train timetable …

In this study, we focus on improving system-wide equity performance in an oversaturated
urban rail transit network based on multi-commodity flow formulation. From the system …

We consider the problem of jointly optimizing train stop plan and timetable for a set of trains
on a railway corridor, with focus on time-dependent passenger demand: these are very …

One of the primary challenges of re-planning in high-speed urban railways is the
randomness of disruptive events. In this study, an integrated disturbance recovery model …

In daily operations, passenger demand for metro lines traversing city centers often exhibits
pronounced tidal characteristics, particularly during morning and evening peak hours. Given …

Urban rail transit (URT) demand often exhibits tidal or centripetal shapes during peak/off-
peak hours. Inefficiency occurs when the supply of service is not adjusted to the fluctuating …

This paper develops a real-time agent-based simulation model to optimize the dynamic bus
stop-skip** and holding schemes. The proposed agent-based simulation model is …