Author/Authors :
Shahabi Ali نويسنده , Mirzahossein Hamid نويسنده Ph.D. Candidate, Department of Transportation Engineering and planning, School of Civil Engineering , Hassannayebi Erfan نويسنده Industrial Engineering Department, Tarbiat Modares University , Tehran, Iran , Shakibayifar Masoud نويسنده Iran University of Science & Technology , Zohrabnia Shaghayegh نويسنده Allameh Tabatabai University
Abstract :
The evaluation of the railway infrastructure capacity is an important task
of railway companies. The goal is to nd the best infrastructure development plan for
scheduling new train services. The question addressed by the present study is how the
existing railway infrastructure can be upgraded to decrease the total delay of existing and
new trains with minimum cost. To answer this question, a mixed-integer programming
formulation is extended for the integrated train scheduling and infrastructure development
problem. The train timetabling model deals with the optimum schedule of trains on a
railway network and determines the best stop locations for both the technical and religious
services. We developed two heuristics based on variable xing strategies to reduce the
complexity of the problem. To evaluate the e ect of railway infrastructure development
on the schedule of new trains, a sequential decomposition is adopted for Iranian railway
network. The outcomes of the empirical analysis performed in this study allow to gain
bene cial insights by identifying the bottleneck corridors. The result of the proposed
methodology shows that it can signi cantly decrease the total delay of new trains with the
most emphasis on the bottleneck sections.
