Modeling Timetable Coordination in Urban Mass Transit Networks

Article Preview

Abstract:

Timetable coordination is very complex because of the number of alternative transfer directions involved in subway networks and lack of optimization principles. In this paper, transfer binary variable (TBV) that influence transferring are taken into considered in the model. By adjusting the dispatch time, dwell time at stations, the model can construct a high-quality timetable that improves the passenger transfer effectiveness. The numerical experiments show that our model improves TBV to 10 directions of 11 total transfer directions.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 1030-1032)

Pages:

2207-2210

Citation:

Online since:

September 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Karlaftis, M.G. 2010. Ownership and competition in European transit: assessing efficiency. Transportmetrica. 6(2): 143-160.

DOI: 10.1080/18128600903034342

Google Scholar

[2] Caprara, A.; Kroon, L.; Monaci, M.; Peeters, M.; Toth, P. 2006. Passenger railway optimization. In: Barnhart, C., Laporte, G. (Eds. ), Handbooks in Operations Research and Management Science. 14: 129–187.

DOI: 10.1016/s0927-0507(06)14003-7

Google Scholar

[3] Wong, R.C.W.; Yuen, T.W.Y.; Fung, K.W.; Leung, J.M.Y. 2008. Optimization timetable synchronization for rail mass transit. Transportation Science. 42(1): 57-69.

DOI: 10.1287/trsc.1070.0200

Google Scholar

[4] D'Ariano, A. 2008. Improving real-time train dispatching: models, algorithms and applications. TRAIL Thesis Series, T2008/6, The Netherlands.

Google Scholar

[5] Alain, B. 2003. Using integer programming to solve the train problem. Transportation Science Research, 37(2), 13-222.

Google Scholar