Railway capacity is not only the basic condition for the allocation of railway resources but also an index set for the evaluation of the usage of them. Sometimes the maximum theoretical results calculated according to the coefficient methodology for the capacity calculation of the Existed Chinese traditional railway (abbreviated as ECTR) would be less than those statistical results from the rea...

BACKGROUND Railway suicides strongly impact psychological and socioeconomic aspects of the railway company, its employees and possible eye witnesses. We aimed to assess the incidence of railway suicides compared with the total burden of suicides in Germany and its time trend over a 10-year observation period. METHODS From 1991 to 2000, a total of 8,653 fatal railway suicides were recorded by ...

Railway transport becomes a more popular transportation in many countries due to its large capacity, low energy consumption, and benign environment. The passenger train service planning is the key of rail operations system balance demand. In this paper, we propose mixed binary linear programming formulation for optimize route, frequency, stop schedule, assignment simultaneously. addition, analy...

The Alp Transit Gotthard is an ambitious railway construction project, which will incorporate the world's longest railway tunnel of 57 km travelling through the Swiss Alps and under the St. Gotthard massif. Future passenger trains will journey at speeds of up to 250 km/h, adding further to the highly successful European high-speed network and bringing a huge reduction in travelling time. The co...

Planning a railway infrastructure is an extensive process. Placement and interaction of all infrastructural elements including security components like signals and level crossings has to be considered. Verifying the railway infrastructure against legal guidelines is an important task within this planning process. The verification purpose is to ensure a safe operation on the infrastructure. Duri...

This paper develops two dynamic neural network structures to forecast short-term railway passenger demand. The first neural network structure follows the idea of autoregressive model in time series forecasting and forms a nonlinear autoregressive model. In addition, two experiments are tested to eliminate redundant inputs and training samples. The second neural network structure extends the fir...

This paper describes how the MTR Corporation of Hong Kong made use of Artificial Intelligence (AI) and Web 2.0 technology to computerize and streamline daily maintenance scheduling. The application is called the Engineering Works and Traffic Information Management System (ETMS), an intelligent workflow system for maintenance scheduling. ETMS oversees over a thousand workers for railway maintena...

The UK’s railway network is extensive and utilised by many millions of passengers each day. Passenger and train movements around the network create large amounts of data; details of tickets sold, passengers entering and exiting stations, train movements etc. Knowing how passengers want to use the network is critical in planning services that meet their requirements. However, understanding and m...

This article describes a next-generation architecture for wireless communications, based on mobile phone carriers (GPRS) and broadband (WiFi), developed for the field of railways and allowing "train-to-earth" communications. This communication channel aims to complement traditional railway communication systems and its benefits make the deployment of new services, such as passenger oriented ser...

This paper addresses the railway rolling stock circulation problem. Given the departure and arrival times as well as the expected numbers of passengers, we have to assign the rolling stock to the timetable services. We consider several objective criteria that are related to operational costs, service quality and reliability of the railway system. Our model is an extension of an existing rolling...