Terrorist attacks pose a serious threat to the EU, particularly in public transport (PT) hubs such as railway stations due to their level of accessibility and where the individual passenger security screening methods used in airports are impractical. Consequently, methods of increasing station resilience against terrorist attacks in Europe have been explored as part of the recent SecureStation project. To support this work, PT passengers from across Europe were surveyed to gauge their opinion on current counter-terrorism security measures in stations and the acceptability and perceived effectiveness of potential security enhancements. The results, from a total sample of 489 respondents, provide indications of passenger priorities, their opinions of current station security, the acceptability of different security measures and the degree to which they increase feelings of safety. The results, together with summaries of similar studies, give an overview of passenger acceptance of various counter-terrorism security measures and point to areas for further research.

This study is part of a greater body of research on the electromagnetic compatibility in the railway environment throughout Europe. In particular, this study focuses on the broadcasting services as a victim area and identifies the electromagnetic interference threats in the railway environment. After the definition of the pantograph arcing as the worst-case scenario in terms of interference to these services, a test method was carried out in a controlled environment in order to examine the characteristics of these transient arcing events. It was found out that the power radiated is a broadband signal and the high levels of the radiated emissions require further investigation and examination, including addition to the railway standards that define the cross-domain interoperability of equipment, rolling stock and fixed installations in the railway environment.

RSSB and the University of Southampton's GeoData Institute have collaborated to research and develop a toolkit for managing large volumes of rail risk data. The pilot system encompasses concepts of highly complex geospatial ‘big data’, open standards, open source development tools and methodologies, and enables stakeholders to filter, analyse and visualise risk across the rail network, for a range of risk models. These include train derailments, suicides and passenger slip, trips and falls, and feature a wide range of spatially dependent parameters that affect the causal, escalation and consequence mechanisms. The risk has been calculated to a high resolution, splitting 2,100,000 m of track typically into 10 m sections. By creating geospatial representations of risk, the tool can help to identify risk hotspots and in this way contribute to the improvement of rail safety. Once scaled up to a National level and full range of risk models, the tool will deliver a powerful capability, unique across Europe. Further research is extending the prototype to incorporate live and historic environmental and related rail incident data to augment and improve the risk model.

In this study, the authors report the findings from a study of the contributory factors leading to slips, trips and falls (STFs) amongst elderly passengers at train stations and how these are likely to change in the future over the medium to long term (the period 2035–2050). Their data draws on: stakeholder interviews with rail personnel and elderly passengers; a set of station observations carried out across the UK; and, a survey of the views of station managers. The findings point to a set of 22 contributory factors covering aspects of organisational, station environment and passenger (individual) influence on STFs. Amongst the factors which most concern station managers at the present and over the next few decades are: rushing behaviour on train platforms; the consumption of alcohol by passengers; aspects of station design (e.g. flooring); and, training for station staff as regard the risks of STFs. The authors summarise their findings in the form of a systems model which highlights priorities with regard to STFs in terms of all of the stakeholders taking part in the study. A final section discusses a set of issues which might form the basis for a future agenda for research and practice in this area.

The safe guidance of railway vehicles is dependent on the contact geometry between the wheel and the rail as defects in the running surface of the wheels can increase the risk of derailments and wheel catastrophic failures, and significantly increase the damage done by the vehicle to the track. An automatic optical based system for detecting wheel defects of rail vehicles passing in service has been developed and tested. The system is described, detailing the process of capturing consistent high resolution and quality images of the wheel tread and flange suitable for processing to detect defects. Tests of the system have been carried out with a wide variety of different rail vehicles, some with defects created artificially on the test wheel to test the image capturing capability of the system and its ability to automatically detect the defects. The prototype system was successfully installed in an operational railway site and captured high-resolution images of the tread and flanges of the entire circumference of rail vehicle wheels as they passed through the system. The system was also shown to be successful at automatically analysing the captured images to detect wheel surface defects.

The application of Lean principles to terminus operations of high-speed railways has the potential of enhancing the efficiency of resource usage during both the construction and operation periods, through faster turnarounds and, hence, a reduced space requirement thanks to fewer platform tracks being needed. However, this greater efficiency must not be allowed to result in less robust services. The robust design of products and processes has been studied extensively in the manufacturing industry. By contrast, the robustness of high level railway operational concepts and system design has been investigated rarely. In this study, Taguchi methods that originated in the manufacturing industry are applied to a robustness assessment of system designs in the context of railway operations. The approach is used to assess terminus designs with different numbers of platform tracks, layouts with particular conflict patterns, minimum required turnaround times and signalling facility capability. The authors use a Monte–Carlo simulation with statistical delay distributions. The simulation results show that the signalling system's capability is the most important factor in achieving high capacity and that the robustness of railway terminus operations is not affected by adopting faster turnaround and having fewer platform tracks at termini. Finally, some suggestions for future planning are presented.

To become more competitive, railways are developing methods and technologies that enable cost reduction, higher capacity, better punctuality and greater sustainability. The authors of this study address the last two objectives and propose a method that can be used to minimise the impact of a single delay on the system by reducing both the deviation from timetabled arrival at timing points and the energy consumed by trains. The technique uses a combined macro- and microscopic level approach in an optimisation algorithm to calculate the maximum speed a train should travel at on different sections of its route, so that the train meets time constraints and saves energy. The algorithm interacts with the traffic management system to obtain the applicable time constraints. The initial results from a case study based on a single-track railway line show that applying this method to a freight train that needs to pass a late running passenger train at a loop and to arrive on time at its last station allows a 9% reduction in energy use by comparison with a situation where the freight train trajectory is not adjusted as a function of the actual traffic conditions.

Delivering the railway infrastructure whose functionality is sustainable and uncompromised in terms of safety and availability under ever decreasing budget constraints is a great challenge. The successful accomplishment of this task relies on the effective management of individual assets within a wider whole system perspective. This is a highly complex decision-making task where mathematical models are required to enable well-informed choices. In this study, a novel modelling framework is proposed for performing the whole system lifecycle cost analysis. The framework is based on two models: railway network performance and costs. Using the former model investigations of the effects of decisions can be carried out for the individual asset and the whole system. A Petri net modelling technique is used to construct the model. A form of Monte Carlo simulation is then used to obtain model results. The infrastructure performance model is then integrated with the cost model to perform the lifecycle cost analysis. A superstructure example is presented to demonstrate the application of the approach. The results show that taking into account interdependencies among the intervention activities greatly influences, not only the performance of the infrastructure, but also its lifecycle costs and thus should be included in the cost analysis.