Technical Papers
Jul 25, 2019

A Vertical Railroad Alignment Design with Construction and Operating Costs

Publication: Journal of Transportation Engineering, Part A: Systems
Volume 145, Issue 10

Abstract

Vertical alignment profiles are generally governed by geographical constraints; however, vertical alignment design is important, as it may significantly affect operating decisions such as travel time and tractive and braking energy consumption. This paper seeks to optimize vertical railroad alignment considering the costs of user, operation and construction. A genetic algorithm and a simulation model are jointly used to find solutions for vertical alignment characteristics and operating speed, and numerical cases are presented. The model developed can be applied to analyze both the operating efficiency of existing railroads and the feasibility of new railroads.

Get full access to this article

View all available purchase options and get full access to this article.

Acknowledgments

This work was supported by an Incheon National University (International Cooperative) research grant in 2015.

References

Besinovic, N., E. Quadglietta, and R. M. P. Goverde. 2013. “A simulation-based optimization approach for the calibration of dynamic train speed profiles.” J. Rail Transp. Plann. Manage. 3 (4): 126–136. https://doi.org/10.1049/ip-epa:19970797.
Chang, C. S., and S. S. Sim. 1997. “Optimising train movements through coast control using genetic algorithms.” IEE Proc. Electr. Power Appl. 144 (1): 65–73. https://doi.org/10.1049/ip-epa:19970797.
Deb, K. 2000. “An efficient constraint handling method for genetic algorithms.” Comput. Methods Appl. Mech. Eng. 186 (2–4): 311–338. https://doi.org/10.1016/S0045-7825(99)00389-8.
Deep, K., K. P. Singh, M. L. Kansal, and C. Mohan. 2009. “A real coded genetic algorithm for solving integer and mixed integer optimization problems.” Appl. Math. Comput. 212 (2): 505–518. https://doi.org/10.1016/j.amc.2009.02.044.
Eash, R. W. 1978. “Energy efficient rail transit operation.” Transp. Res. Rec. 662: 1–7.
Hay, W. W. 1982. Railroad engineering. 2nd ed. New York: Wiley.
Hoberock, L. L. 1977. “A survey of longitudinal acceleration comfort studies in ground transportation vehicles.” ASME J. Dyn. Syst. Meas. Contr. 99 (2): 76–84. https://doi.org/10.1115/1.3427093.
Jong, J. C., and S. Chang. 2005a. “Algorithms for generating train speed profiles.” J. East. Asia Soc. Transp. Stud. 6: 356–371.
Jong, J. C., and S. Chang. 2005b. “Models for estimating energy consumption of electric trains.” J. East. Asia Soc. Transp. Stud. 6: 278–291.
Kim, D. N., and P. Schonfeld. 1997. “Benefits of dipped vertical alignments for rail transit routes.” J. Transp. Eng. 123 (1): 20–27. https://doi.org/10.1061/(ASCE)0733-947X(1997)123:1(20).
Kim, K., and S. I.-J. Chien. 2010. “Simulation-based analysis of train controls under various track alignments.” J. Transp. Eng. 136 (11): 937–948. https://doi.org//10.1061/(ASCE)TE.1943-5436.0000160.
Kim, K., and S. I.-J. Chien. 2011. “Optimal train operation for minimum energy consumption considering track alignment, speed limit, and schedule adherence.” J. Transp. Eng. 137 (9): 665–674. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000246.
Kim, M. E., P. Schonfeld, and E. Kim. 2013a. “Comparison of vertical alignments for rail transit.” J. Transp. Eng. 139 (2): 230–238. https://doi.org//10.1061/(ASCE)TE.1943-5436.0000476.
Kim, M. E., P. Schonfeld, and E. Kim. 2013b. “Simulation-based rail transit optimization model.” Transp. Res. Rec. 2374: 143–153. https://doi.org/10.3141/2374-17.
Li, X., and H. K. Lo. 2014a. “An energy-efficient scheduling and speed control approach for metro rail operations.” Transp. Res. Part B: Methodol. 64 (Jun): 73–89. https://doi.org/10.1016/j.trb.2014.03.006.
Li, X., and H. K. Lo. 2014b. “Energy minimization in dynamic train scheduling and control for metro rail operations.” Transp. Res. Part B: Methodol. 70 (Dec): 269–284. https://doi.org/10.1016/j.trb.2014.09.009.
Powell, J. P., and R. Palacin. 2015. “Passenger stability within moving railway vehicles—Limits on maximum longitudinal acceleration.” Urban Rail Transit 1 (2): 95–103. https://doi.org/10.1007/s40864-015-0012-y.
Samanta, S., and M. K. Jha. 2011. “Modeling a rail transit alignment considering different objectives.” Transp. Res. Part A: Policy Pract. 45 (1): 31–45. https://doi.org/10.1016/j.tra.2010.09.001.
Vuchic, V. R. 2007. Urban transit—Systems and technology. New York: Wiley.
WMATA (Washington Metropolitan Area Transit Authority). 2008. Manual of design criteria. Washington, DC: WMATA.
Wong, K. K., and T. K. Ho. 2004 “Dynamic coast control of train movement with genetic algorithm.” Int. J. Syst. Sci. 35 (13–14): 835–846. https://doi.org/10.1080/00207720412331203633.

Information & Authors

Information

Published In

Go to Journal of Transportation Engineering, Part A: Systems
Journal of Transportation Engineering, Part A: Systems
Volume 145Issue 10October 2019

History

Received: Oct 2, 2018
Accepted: Feb 25, 2019
Published online: Jul 25, 2019
Published in print: Oct 1, 2019
Discussion open until: Dec 25, 2019

Permissions

Request permissions for this article.

Authors

Affiliations

Assistant Professor, Dept. of Civil and Environmental Engineering, Western New England Univ., Springfield, MA 01119. ORCID: https://orcid.org/0000-0002-8433-4950. Email: [email protected]
Nikola Marković [email protected]
Assistant Professor, Dept. of Civil and Environmental Engineering, Univ. of Utah, Salt Lake City, UT 84112. Email: [email protected]
Eungcheol Kim [email protected]
Professor, Dept. of Civil and Environmental Engineering, Incheon National Univ., Incheon 22012, South Korea (corresponding author). Email: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share