Simulation analysis of the effect of doubling and electrification on the reliability of the rail networks: A case study of Tehran-Mashhad railroad

Document Type : Article


1 Department of Transportation Engineering and Planning, School of Civil Engineering, Iran University of Science & Technology, Tehran, Iran

2 Department of Marine and Transport Technology, Delft University of Technology, Mekelweg 2, 2628 CD Delft, The Netherland

3 Department of Transportation Engineering and Planning, School of Civil Engineering, Sharif University of Technology, Tehran, Iran


The reliability assessment of the railway services is a complex procedure that is affected by many different factors. A railway system is reliable when the trains arrive at their destination within the allowed delay threshold. The objective of this study is to investigate the effect of the infrastructure doubling and electrification on the reliability of the train schedules. In this study, advanced event-driven stochastic simulation software is developed to determine the reliability of the train movements. The calculation of the average train delay as a benchmark is provided to evaluate performance. We compared average train delay with the acceptable delay to define a new benchmark to determine the reliability of the train movements. We also analyzed the delay cascading effect along the railway line in order to better illustration of a number of correlations between the arrival and departure delays at different stations. The model has been validated through a real-world case study of Iranian railway. Successful validation of the developed simulation system demonstrated that the model provides accurate reliability estimations in both congested and non-congested situations. Furthermore, the experimental results showed that electrification and doubling improve the reliability significantly.


Main Subjects

1. Isaai, M.T. An intelligent search technique for solving
train scheduling problems: Simulated annealing and
constraint satisfaction", Scientia Iranica, 14(5), pp.
442-449 (2007).
2. Cheng, Y.-H. and Y.-C. Tsai Train delay and
perceived-wait time: passengers' perspective", Transport
Reviews, 34(6), pp. 710-729 (2014).
3. Hassannayebi, E., Zegordi, S.H., and Yaghini, M.
Train timetabling for an urban rail transit line using a
Lagrangian relaxation approach", Applied Mathematical
Modelling, 40(23-24), pp. 9892-9913 (2016).
4. Larsen, R., Pranzo, M., D'Ariano, A., Corman, F.,
and Pacciarelli, D. Susceptibility of optimal train
schedules to stochastic disturbances of process times",
Flexible Services and Manufacturing Journal, 26(4)
pp. 466-489 (2014).
5. Rausand, M. and Hyland, A. System reliability
theory: models, statistical methods, and applications",
396 John Wiley & Sons (2004).
6. Hassannayebi, E., Zegordi, S.H., Amin-Naseri, M.R.,
and Yaghini, M. Train timetabling at rapid rail transit
lines: a robust multi-objective stochastic programming
approach", Operational Research, 17(2), pp. 435-477
7. Abril, M., Barber, F., Ingolotti, L., Salido, M.A.,
Tormos, P., and Lova, A. An assessment of railway
capacity", Transportation Research Part E: Logistics
and Transportation Review, 44(5) pp. 774-806 (2008).
8. Corman, F., D'Ariano, A., Pacciarelli, D., and Pranzo,
M. Dispatching and coordination in multi-area railway
trac management", Computers & Operations
Research, 44 pp. 146-160 (2014).
9. Hassannayebi, E. and Zegordi, S.H. Variable and
adaptive neighbourhood search algorithms for rail
rapid transit timetabling problem", Computers & Operations
Research, 78 pp. 439-453 (2017).
10. Morant, A., Gustafson, A., Soderholm, P., Larsson-
Kr/aaik, P.O. and Kumar, U. Safety and availability
evaluation of railway operation based on the state of
signalling systems", Proceedings of the Institution of
Mechanical Engineers, Part F: Journal of Rail and
Rapid Transit, pp. 09544 09715 624466 (2016).
11. Fayez, M.S., Kaylani, A., Cope, D., Rychlik, N., and
Mollaghasemi, M. Managing airport operations using
simulation", Journal of Simulation, 2(1) pp. 41-52
12. Kelton, W.D., Sadowski, R.P., and Sadowski, D.A.
Simulation with ARENA": McGraw-Hill, Inc. (2002).
3086 M. Shakibayifar et al./Scientia Iranica, Transactions A: Civil Engineering 25 (2018) 3066{3087
13. Sajedinejad, A., Mardani, S., Hasannayebi, E., and
Kabirian, A. SIMARAIL: simulation based optimization
software for scheduling railway network", Proceedings
of the Winter Simulation Conference (WSC),
IEEE (2011).
14. Hasannayebi, E., Sajedinejad, A., Mardani, S., and
Mohammadi K.S. An integrated simulation model
and evolutionary algorithm for train timetabling problem
with considering train stops for praying", Proceedings
of Simulation Conference (WSC), IEEE (2012).
15. Hassannayebi, E., Sajedinejad, A., and Mardani,
S. Urban rail transit planning using a two-stage
simulation-based optimization approach", Simulation
Modelling Practice and Theory, 49, pp. 151-166 (2014).
16. Jovanovic, P., Kecman, P., Bojovic, N., and Mandic,
D. Optimal allocation of bu er times to increase train
schedule robustness", European Journal of Operational
Research, 256(1) pp. 44-54 (2017).
17. Hassannayebi, E., Zegordi, S.H., Yaghini, M., and
Amin-Naseri, M.R. Timetable optimization models
and methods for minimizing passenger waiting time
at public transit terminals", Transportation Planning
and Technology, 40(3), pp. 278-304 (2017).
18. Yaghini, M., Khoshraftar, M.M., and Seyedabadi, M.
Railway passenger train delay prediction via neural
network model", Journal of advanced transportation,
47(3), pp. 355-368 (2013).
19. Hassannayebi, E. and Kiaynfar, F. A greedy randomized
adaptive search procedure to solve the train sequencing
and stop scheduling problem in double track
railway lines", Journal of Transportation Research,
9(3), pp. 235-257 (2012).
20. Vromans, M.J., Dekker, R., and Kroon, L.G. Reliability
and heterogeneity of railway services", European
Journal of Operational Research, 172(2), pp. 647-665
21. Rietveld, P., Bruinsma, F.R., and Van Vuuren, D.J.
Coping with unreliability in public transport chains:
A case study for Netherlands", Transportation Research
Part A: Policy and Practice, 35(6), pp. 539-559
22. Hassannayebi, E., Zegordi, S.H., Amin-Naseri, M.R.,
and Yaghini, M. Demand-oriented timetable design
for urban rail transit under stochastic demand", Journal
of Industrial and Systems Engineering, 9(3), pp.
28-56 (2016).
23. Hallowell, S.F. and Harker, P.T. Predicting ontime
performance in scheduled railroad operations:
methodology and application to train scheduling",
Transportation Research Part A: Policy and Practice,
32(4), pp. 279-295 (1998).
24. Huisman, T. and Boucherie, R.J. Running times
on railway sections with heterogeneous train traf-
c", Transportation Research Part B: Methodological,
35(3), pp. 271-292 (2001).
25. Carey, M. and Carville, S. Scheduling and platforming
trains at busy complex stations", Transportation
Research Part A: Policy and Practice, 37(3), pp. 195-
224 (2003).
26. Yin, Y., Lam, W.H., and Miller, M.A. A simulationbased
reliability assessment approach for congested
transit network", Journal of Advanced Transportation,
38(1), pp. 27-44 (2004).
27. Dingler, M., Lai, Y.-C., and Barkan, C. Impact
of train type heterogeneity on single-track railway
capacity", Transportation Research Record: Journal of
the Transportation Research Board, 2117, pp. 41-49
28. Murali, P., Dessouky, M., Ordo~nez, F., and Palmer, K.
A delay estimation technique for single and doubletrack
railroads", Transportation Research Part E: Logistics
and Transportation Review, 46(4), pp. 483-495
29. Marinov, M. and Viegas, J. A mesoscopic simulation
modelling methodology for analyzing and evaluating
freight train operations in a rail network", Simulation
Modelling Practice and Theory, 19(1), pp. 516-539
30. Zheng, Y., Zhang, X., Bin, X.U., and Linli, W.A.N.G.
Carrying capacity reliability of railway networks",
Journal of Transportation Systems Engineering and
Information Technology, 11(4), pp. 16-21 (2011).
31. Eskandari, H., Rahaee, M.A., Memarpour, M., Hasannayebi,
E., and Malek, S.A. Evaluation of di erent
berthing scenarios in Shahid Rajaee container terminal
using discrete-event simulation", in Proceedings of
Simulation Conference: Simulation: Making Decisions
in a Complex World, IEEE Press (2013).
32. Ilati, G., Sheikholeslami, A., and Hassannayebi, E. A
simulation-based optimization approach for integrated
port resource allocation problem", PROMET-Trac
& Transportation, 26(3), pp. 243-255 (2014).
33. Corman, F., D'Ariano, A. and Hansen, I.A. Evaluating
disturbance robustness of railway schedules",
Journal of Intelligent Transportation Systems, 18(1),
pp. 106-120 (2014).
34. Shakibayifar, M., Hassannayebi, E., Mirzahossein,
H., and Shahabi, A. An integrated train scheduling
and infrastructure development model in railway networks",
Scientia Iranica, 24(6), pp. 3409-3422 (2017).
35. Hassannayebi, E., Sajedinejad, A. and Mardani, S.
Disruption management in urban rail transit system:
A simulation based optimization approach", in
Handbook of Research on Emerging Innovations in Rail
Transportation Engineering, IgI-Global, pp. 420-450
36. Shakibayifar, M., Sheikholeslami, A., and Corman, F.
A simulation-based optimization approach to reschedule
train trac in uncertain conditions during disruptions",
Scientia Iranica, 25(2), pp. 646-662 (2018).
37. Yaghini, M., Sarmadi, M., Nikoo, N., and Momeni,
M. Capacity consumption analysis using heuristic solution
method for under construction railway routes",
Networks and Spatial Economics, 14(3-4), pp. 317-333
M. Shakibayifar et al./Scientia Iranica, Transactions A: Civil Engineering 25 (2018) 3066{3087 3087
38. Hansen, I.A. and Pachl, J. Railway timetable & trac
analysis", Modelling Simulation, 1, pp. 1-288 (2008).