Journal of Rail Transport Planning & Management

The focus of the Journal of Rail Transport Planning & Management (JRTPM) is scientific and applied research that addresses developments and applications in the field of rail transport. The journal encompasses the design, planning and management of rail transport and operations for both passenger and freight trains, covering the whole range of light rail, metro, mainline, high-speed and other rail systems. The intelligent core of the journal is on the side of rail transport, not on rail assets or technology.

The Journal of Rail Transport Planning & Management encourages the integration of quantitative methods from different scientific disciplines such as transport modelling, scheduling, operations research, control theory, systems engineering, mathematics, complex networks, computer science, artificial intelligence, economics and transport policy analysis.

A non-exhaustive list of topic includes: transport demand estimation, railway network design, line planning, capacity management, timetabling, rail infrastructure maintenance planning, crew and rolling stock scheduling, dispatching, traffic management, disruption management, railway performance and train delay prediction, safety and signalling, train control, automatic train operation, energy-efficient train operation, passenger flows, rail freight and yards, rail governance and economics, and simulation. The journal encourages mathematical modelling and algorithmic approaches with the aim to increase the efficiency and competitiveness of passenger and freight transport, providing higher flexibility, performance and punctuality of trains operating in stations, on dedicated lines and in heterogeneous networks.

The Journal of Rail Transport Planning & Management is affiliated with the International Association of Railway Operations Research (IAROR) and aims at consolidating and extending models, methods and concepts that improves rail transport planning and management.