A MULTIVARIATE METHODOLOGY FOR DETERMINING THE OPTIMAL HIGHWAY ALIGNMENT CANDIDATE BASED ON GEOGRAPHIC INFORMATION SYSTEM AND ANALYTIC HIERARCHY PROCESS
DOI:
https://doi.org/10.11113/jt.v76.5852Keywords:
Constraint, cost, safety, optimal highway candidate, AHP, GISAbstract
Research on highway alignment optimization has been quite intensive over the last two decades. Determining the best candidate for highway alignment is one of the most complex highway design stages due to the different effects of various parameters. Hence, in the present study, Analytic Hierarchy Process technique and Geographic Information System are proposed to determine the best highway candidate with special focus on the constraint, cost and safety criteria. The methodology presented in the current research is not limited to the constraint, cost and safety criteria but can be extended to other criteria. This methodology has been implemented on a case study region in northwestern of Iran, and therefore the constraint, cost and safety criteria have been obtained for the case study conditions. The final result of the current paper indicates that the optimal highway candidate obtained with the proposed methodology can concurrently satisfy all relative parameters in highway alignment optimization based on their impact.
References
Howard, B., Bramnick, Z. and Shaw, J. 1969. Optimum Curvature Principle in Highway Routing. Transportation Research Board. 236-241.
Turner, A. K. and R. D. Miles, 1971. The GCARS System: A Computer-assisted Method of Regional Route Location. Transportation research board.
Hogan, J. 1973. Experience with OPTLOC Optimum Location of Highways by Computer. Paper Presented in PTRC Seminar Proceedings on Cost Model and Optimization in Highway.
Jong, J. C. 1998. Optimizing Highway Alignments With Genetic Algorithms. University of Maryland, College Park, Md.
Jha, M. K. 2000. A Geographic Information Systems-Based Model for Highway Design Optimization. University of Maryland.
Sajjadi, S. M. 2015. Multivariate Optimization of Highway Alignment Using the Multi-Criteria Evaluation Method. Universiti Teknologi Malaysia.
Gupta, R. and Jain. R. 1975. Effect of Certain Roadway Characteristics on Accident Rates for Two-Lane, Two-Way Roads in Connecticut (Abridgment). Transportation Research Record. 541.
Walmsley, D. A. and Summersgill. I. 1998. The Relationship Between Road Layout and Accidents on Modern Rural Trunk Roads. Transportation Research Board.
Ahadi, M. R. Etemadzadeh, S. R. 2013. Effect of Geometric Design Parameters to Improve Safety and Accidents Reduction (Case Study: Sari – Kiasar Corridor). Journal of Safety Promotion and Injury Prevention, 2013. 1(3): 1-13.
Anastasopoulos, P.C. and Mannering, F.L. 2009. A Note on Modeling Vehicle Accident Frequencies with Random-Parameters Count Models. Accident Analysis & Prevention. 41(1): 153-159.
Elvik, R. 2000. How Much Do Road Accidents Cost the National Economy? Accident Analysis & Prevention. 32(6): 849-851.
Lamm, R., Psarianos, B. and Cafiso, S. 2002. Safety Evaluation Process for Two-lane Rural Roads: A 10-Year Review. Transportation Research Record: Journal of the Transportation Research Board. 1796(1): 51-59.
Sajjadi, S. M. Moh Zulkifli. Y. Che Puan. O. Mehmannavaz, T. Faridmehr, I. Beheshti, A. Samadi, M. 2014. Analyzing Accidents Caused by Overturn of Vehicles (Case Study of Iran-Zanjan Province in 2010). Research Journal of Applied Sciences, Engineering and Technology. 7(12).
Saaty, T. L., & Vargas, L. G. 2012. Models, Methods, Concepts & Applications of the Analytic Hierarchy Process. Springer Science & Business Media.
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