Nowadays, railway transport capacity is an important bottleneck for many railway operators that face its ever-increasing demand. This poses a challenge to existing lines as operation under conditions close to saturation tends be unstable. Capacity in urban railway systems depends largely on dwell times at platforms, but capacity measures proposed in literature rarely include the uncertainty associated to these times. In this paper this uncertainty is modeled as fuzzy numbers and two new capacity measures are proposed: the Fuzzy Maximum Capacity and the Fuzzy Occupancy Time Rate. The proposed model makes use of a railway simulator that enables route compression to obtain the conflict-free compressed time of the section under study. Three practical capacity problems from the perspective of the railway traffic operator have been presented and solved. The new measures provide more information to the railway operator than the standard UIC method that does not include uncertainty regarding dwell times. Finally, the model has been applied to the section Gràcia-Sarrià, belonging to the Spanish railway operator FGC.
Keywords: Fuzzy; Urban transport; Dwell times; Capacity
European Transport Research Review. Volume: 10 Issue: 61 Pages: 1-14
JCR Impact Factor and WoS quartile: 1.727 - Q3 (2018)
DOI reference: 10.1186/s12544-018-0335-3
Published on paper: December 2018. Published on-line: December 2018.
L.M. Navarro, A. Fernández-Cardador, A.P. Cucala. Fuzzy maximum capacity and occupancy time rate measurements in urban railway lines. European Transport Research Review. vol. 10, no. 61, pp. 1-14, December 2018. [Online: December 2018]