Simulation of Multiple Line Rail Sections - IEOR @IIT Bombay ...

ISCI 2012 10
Table 4: Comparison of variable and fixed time strategies
Time slots Nu Nd F ixedu F ixedd Variable
0-6 7.727 3.818 13.032 16.799 13.712
6-12 5.727 4.182 8.878 17.671 13.544
12-18 4.636 8.727 11.801 14.127 14.172
18-24 5.727 8.818 10.189 11.839 10.391
respect to the other two, the location of crossover points, the traffic density, the traffic
mix and finally the performance measures of relevance to the rail operator. Simulation
provides a good means for evaluating different strategies.
In this paper we have reviewed the performance measures like, traffic intensity and
weighted average traversal time which are used as the decision making parameters for the
3 line railway section. Simulation also plays a major role in railway scheduling which has
been done using the simulator developed by IIT Bombay
We experiment with the simple one of fixed time regimes and compare it with more
complex strategies like variable time strategy involving some system state measures. More
sophisticated control strategies using long run simulations can also be proposed and evaluated
by other analytical techniques in future. The ones we have suggested have the
advantage of being implementable with minimum additional infrastructure and training
of personnel involved in the decision.
Based on our experiments we can say that the WATT of fixed startegy is less than
variable. More refined results can be obtained by analysing data for a variety of traffic
and longer time which is a part of our future work.
References
[1] M. Abril, M. Barber, L. Ingolloti, M. A. Salido, P. Tormos, A. Lova A, “An assessment
of railway capacity”, Transport. Res. Part E, 2007.
[2] F. Barber, L. Ingolloti, M. A. Salido, “A Simulation tool to evaluate the robustness
of railway timetables”, PSCS 2008.
[3] Pratik V. Fadadu, “Network Level Investments to Improve Rail Capacity”, M.Tech
Project Report, Industrial engineering and Operations Research, IIT Bombay, 2011
[4] Jack B. Homer, Thomas E. Keane, Natasha Lukiantseva, David W. Bell, “Evaluating
Strategies to Improve Railroad Performance - A System Dynamics Approach”, Winter
Simulation conference, 1999
[5] G. Raghuram and V. V. Rao, “A decision support system for improving railway line
capacity”, Public Enterprise,Vol-11(1), pp.64-72 (1991).
[6] N. Rangaraj, A. Ranade, K. Moudgalya, C. Konda, M. Johri and R. Naik “Simulator
for Line Capacity Planning”, Sixth Asia Pacific Operations Research Society, Delhi,
December 2003