The article considers the problem of planning transport solutions for development and improvement railway in suburban direction because impossibility to separate describe flows requests, as well determine system states. It has been stated that under such conditions approach using correspondence matrices modeling looks promising. applicability methods passenger transportation by is being conside...

This paper is the second of two papers entitled “Airline Planning Benchmark Problems”, aimed at developing benchmark data that can be used to stimulate innovation in airline planning, in particular, in flight schedule design and fleet assignment. The former has, to date, been under-represented in the optimization literature, due in part to the difficulty of obtaining data that adequately reflec...

COVID-19 pandemic has brought difficult situations for the global economy and their economic activities. However, passenger traffic is one of activities that felt impact most. The movement passengers was reduced to a minimum, some forms were completely suspended. One such example railway transport in Republic Croatia, whose activity stopped April 2020, which also affected business company Croat...

BACKGROUND Traffic volume and speed is going to be increased in Indian Railways successively, leading to higher stress in staff connected with train operations. The jobs of railway engine pilots come under the category of high-strain jobs, necessitating a need to conduct multicentric study to unfold the factors associated with occupational stress and organizational strategies. MATERIALS AND M...

This study reviews the development of railway safety in Finland from 1959 to 2008. The results show that the level of safety has greatly improved over the past five decades. The total number of railway fatalities did not show any obvious decreasing or increasing trend during the first decade, but since the early 1970s the annual number of fatalities has decreased from about 100 to 20. The estim...

One of the most popular data mining areas, which estimate future trends of data, is classification. This research is dedicated to predict Iranian passenger train delay with high accuracy over Iranian railway network. A hybrid method based on neuro-fuzzy inference system and Two-step clustering is used for this purpose. The results indicate that the hybrid method is superior over the other commo...