EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 239 (2018) MATEC Web Conf., 239 (2018) 02001 References
Open Access
Issue
MATEC Web Conf.
Volume 239, 2018
Siberian Transport Forum - TransSiberia 2018
Article Number 02001
Number of page(s) 14
Section Traffic Management and Safety
DOI https://doi.org/10.1051/matecconf/201823902001
Published online 27 November 2018
  1. J. Bulíček Integrace systémů osobní dopravy—technologie provozu přestupních uzlů. University of Pardubice, habilitation thesis, in Czech (2015). http://hdl.handle.net/10195/66917 [Google Scholar]
  2. X. Dou, X. Meng, X. Guo Bus schedule coordination for the last train service in an intermodal bus-and-train transport network. Transport. Res. Part C, 60 360–376 (2015), http://dx.doi.org/10.1016/j.trc.2015.09.006 [Google Scholar]
  3. T.P. Hutchinson Transportation Planning and Technology, 34:8 747–758 (2011), http://dx.doi.org/10.1080/03081060.2011.613584 [CrossRef] [Google Scholar]
  4. L.M. Kieu, et al. An investigation of timed transfer coordination using event-based multi agent simulation. Transport. Res. Part C (2017). http://dx.doi.org/10.1016/j.trc.2017.02.018 [Google Scholar]
  5. D. Lois, A. Monzón, S. Hernandéz Analysis of satisfaction factors at urban transport interchanges: Measuring travellers’ attitudes to information, security and waiting. Transport Policy (2017) http://dx.doi.org/10.1016/j.tranpol.2017.04.004 [Google Scholar]
  6. J. Kleprlík, J. Matuška The demand for public transport and modeling decision-making process of passengers. Proceedings of 21st Int. Scientific Conf.Transport Means 2017 (2017), 20–22. September 2017, Kaunas, Lithuania, p.197-202, ISSN 1822-296X. [Google Scholar]
  7. Y. Wu, J. Tang, Y. Yu, Z. Pan 2015. A stochastic optimization model for transit network timetable design to mitigate the randomness of travelling time by adding slack time. Transport. Res. Part C, 52 15–31 (2015) http://dx.doi.org./10.1016/j.trc.2014.12.012 [Google Scholar]
  8. S. Guo, L. Yu, X. Chen, Y. Zhang. Modelling waiting time for passengers transferring from rail to buses, Transportation Planning and Technology, 34:8 795–809 (2011), http://dx.doi.org/10.1080/03081060.2011.613589 [CrossRef] [Google Scholar]
  9. L. Sun, J. Rong, L. Yao, H. Xu, H. Liu. Entropy-based estimation of transfers in a terminal, Transportation Planning and Technology, 35:3 303–315 (2012) http://dx.doi.org/10.1080/03081060.2012.671038 [CrossRef] [Google Scholar]
  10. V. Trozzi, I. Kaparias, M.G.H.Bell, G. Gentile A dynamic route choice model for public transport networks with boarding queues, Transportation Planning and Technology, 36:1 44–61 (2013) http://dx.doi.org/10.1080/03081060.2012.745720 [CrossRef] [Google Scholar]
  11. NODES—EU project websites. Available from Internet: www.nodes-interchanges.eu [Google Scholar]
  12. J. Carpio-Pinedo, J.A. Martínez-Conde, F.L. Daudén. Procedia—Social and Behavioral Sciences, 160 (2014), 224–233. XI Congreso de Ingenieria del Transporte (CIT 2014). http://dx.doi.org/10.1016/j.sbspro.2014.12.134 [CrossRef] [Google Scholar]
  13. L. Lucietti, C. Hoogendoorn, I. Cré Transportation Research Procedia, 14 1240-1249 (2016) http://dx.doi.org/10.1016/j.trpro.2016.05.195 [CrossRef] [Google Scholar]
  14. X. Karekla, N. Tyler Transportation Planning and Technology, 35:5 525–543 (2012) http://dx.doi.org/10.1080/03081060.2012.693267 [CrossRef] [Google Scholar]
  15. X. Jiang, X. Guo Procedia—Social and Behavioral Sciences, 138 (2014), 501–509. http://dx.doi.org/10.1016/j.sbspro.2014.07.229 [CrossRef] [Google Scholar]
  16. X. Song, J. Teng, G. Chen, Q. Shu Procedia—Social and Behavioral Sciences, 96 (2013), 2287–2299. http://dx.doi.org/10.1016/j.sbspro.2013.08.258 [CrossRef] [Google Scholar]
  17. J. Argote-Cabanero, C.F. Daganzo, J.W. Lynn Res. Part B, 81 (2015), 146–160. http://dx.doi.org/10.1016/j.trb.2015.09.003 [CrossRef] [Google Scholar]
  18. S. Rashidi, P. Ranjitkar, O. Csaba, A. Hooper Transportation Research Procedia, 25C (2017), 1444–1456. http://dx.doi.org/10.1016/j.trpro.2017.05.170 [CrossRef] [Google Scholar]
  19. F. Kaakai, S. Hayat, A. El Moundi, S. Kapoor Schedule coordination for a bimodal connection chain into a Multimodal Hub. 11th IFAC Symposium on Control in Transportation Systems, Delft, August 29–30-31, (2006), 525-530. [Google Scholar]
  20. X. Guo, H. Sun, J. Wu, J. Jin, J. Zhou, Z. Gao Multiperiod-based timetable optimization for metro transit networks. Transport. Res. Part B, 96 (2017), 46–67. http://dx.doi.org./10.1016/j.trb.2016.11.005 [CrossRef] [Google Scholar]
  21. J. Košťálová, J. Matuška Save guiding of visually impaired people - artificial guiding lines arrangements in the infrastructure. In Proceeding of International Conferences on Traffic and Transport Engineering, Belgrade, 24. - 25. 11. (2016). p. 1073–1080. ISBN 978-86-916153-3-8 hdl.handle.net/10195/67378 [Google Scholar]
  22. IDOS timetable websites. CHAPS and MAFRA. Available from Internet: http://jizdnirady.idnes.cz/ [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.