Improving the capacity and performance assessment of railway nodes on the French network

Capacity and performance (evaluated through delay propagation) analysis methods have mostly focused on railway line track sections, but less attention has been given to nodes. Still, a few analytical methods for the capacity and performance assessment of the switch areas between station platform tracks and line tracks can be classified upon...

The effectiveness of alternative graph-based rail traffic rescheduling models versus infrastructure layouts and traffic patterns

The impact of delays and disturbances in railway traffic can be mitigated by advanced rail traffic rescheduling models (RTRMs) which make use of mathematical optimization models. In the past several researches have been carried out on the effectiveness of an RTRM in reducing delay and improving punctuality. However, in most of these researches...

A Data-Driven Approach for Generation of Tactical Planning Rules Regarding Buffer Time in Initial Railway Timetables: A Case Study on the Differentiation of Buffer Times in the Railway Timetable of Nederlandse Spoorwegen

Despite advanced communication, monitoring, and control facilities, train operations are still subject to uncertainties that can disturb train services, cause delay to multiple trains, and propagate through the network. One option is to mitigate delay propagation in the timetable design by adding buffer time to the minimum difference between the...

Max-Plus Extensions: A Study of Train Delays

A study of train delay propagation using max-plus algebra and extensions of the max-plus model.

A Queuing Network Model of a Multi-Airport System Based on Point-Wise Stationary Approximation

A multiple-airport system (MAS) consists of more than two airports in a metropolitan area under a large block of terminal airspace that is managed by one or two air traffic control units. When the capacity of an airport or of the terminal airspace drops, flight delays occur in the MAS system. A quick estimation and predication of traffic...

Designing Recurrent and Graph Neural Networks to Predict Airport and Air Traffic Network Delays

In this paper, we propose open machine learning models that can provide airport delay predictions in a network with an error of around or less than five minutes. Due to the complexity of different components of air traffic networks, traditional flight performance model-based predictions fall short when dealing with numerous flights and often are...

Rescheduling models for network-wide railway traffic management

In the last decades of railway operations research, microscopic models have been intensively studied to support traffic operators in managing their dispatching areas. However, those models result in long computation times for large and highly utilized networks. The problem of controlling country-wide traffic is still open since the coordination...