Train timetabling and rolling stock circulation planning are two important optimization
problems that arise in the daily operations of urban rail transit lines. This study proposes a …

Railway operations are highly susceptible to delays and disruptions caused by various
factors, such as technical issues, operational inefficiencies, and unforeseen events. To …

This paper presents an adaptive control system for coordinated metro operations with
flexible train composition by using a multi-agent deep reinforcement learning (MADRL) …

This paper studies the problem of rescheduling trains with speed management in uncertain
disruptions that lead to temporary speed restrictions (TSRs) in high-speed railway systems …

With the emerging of virtual coupling technologies, the concept of train platoon, where
different vehicles can be flexibly and dynamically grouped or decoupled, has become a hot …

In public transport, eg, railways, crowding is of major influence on passenger satisfaction
and also on system performance. We study the passenger-oriented traffic control problem by …

In recent years the concept of virtual coupling, where multiple train units are virtually coupled
into a platoon with very short following distances, has received considerable attention in the …

This paper aims to simultaneously optimise train timetabling and rolling stock scheduling in
a bidirectional urban rail transit line. A novel variable train composition strategy is adopted to …

To balance the limited capacity and constantly changing demand in the high-speed rail
network, a transport capacity optimization problem is investigated by adjusting train …

This paper studies an integrated train timetabling and rolling stock circulation planning
problem with stochastic demand and flexible train composition (TRSF). A novel stochastic …