Ullrich Martin & Di Liu 
Neues verkehrswissenschaftliches Journal – Ausgabe 16 [EPUB ebook] 
Capacity Research in Urban Rail-Bound Transportation with Special Consideration of Mixed Traffic

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In urban mixed traffic zones, urban rail-bound transport interacts with road traffic, which includes motorized road traffic as well as non-motorized road traffic. The quality of operation and the capacity of urban rail-bound transport are heavily influenced by the road traffic in urban mixed traffic zones. Capacity research is one of the most important methods for the validation of timetables on an existing or planned infrastructure, for adequate railway capacity design of the infrastructure, as well as the performance evaluation for railway operation. For the urban mixed traffic zones, two developed approaches in this research can be used to carry out capacity research with consideration of the road traffic influences on urban rail-bound transport. As a result of the stochastic influences of road traffic on urban rail-bound transport, the waiting time function will be adapted to mixed traffic conditions, which can derive the recommended area of traffic flow for the situation of urban mixed traffic more plausibly. In addition, an algorithm for modeling an event-driven system is developed for preliminary determining the results of capacity research. Accordingly, the operating performance for urban rail-bound transport with road traffic influences can be determined and evaluated.

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About the author

Di Liu was born in 1987 in Harbin, China. She completed her master’s degree in Infrastructure Planning at the University of Stuttgart in 2011 with the research emphasis of transportation, urban, and regional planning. In 2012 she started her Ph D, and during her doctoral period she also worked as a Research Assistant at the Institute of Railway and Transportation Engineering at the University of Stuttgart in Stuttgart, Germany.

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Language English ● Format EPUB ● Pages 156 ● ISBN 9783743147607 ● File size 5.8 MB ● Publisher Books on Demand ● Published 2017 ● Edition 1 ● Downloadable 24 months ● Currency EUR ● ID 6834900 ● Copy protection without

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