Coğrafi Bilgi Sistemleri Yöntemi ile Üstyapı Yönetim Sistemi Uygulaması

Öz

Bu çalışmada performans modelleri geliştirilmiştir. Geliştirilen modeller için Visual Basic programlama dili kullanılarak bir yazılım oluşturulmuştur. Bu yazılım ile hem mevcut durum hem de beklenen trafik yükü altında oluşacak durum tahmin edilmiştir. Dolayısıyla bu yazılım hem ağ düzeyi hem de proje düzeyinde kullanılabilmektedir. Literatürden alınan maliyet ve fayda verileri fayda/maliyet oranı için kullanılmıştır. Genetik algoritma yaklaşımı kullanılarak Visual Basic programlama dilinde program yazılmıştır. Geliştirilen model kullanılarak beş yıllık bakım-rehabilitasyon planı oluşturulmuştur. Modellerin etkinliğini göstermek için ve modelleri bir Coğrafi Bilgi Sistemi (CBS) veri tabanına entegre etmek amacıyla geliştirilen modeller CBS yazılımında birleştirilmiştir. Bu amaçla CBS yazılımı kullanılmıştır. Geliştirilen yazılım verilerin veri bankasından çekilmesine, analiz edilmesine ve CBS üzerinden farklı senaryoların simülasyonuna olanak sağlamaktadır.

Anahtar Kelimeler

• Üstyapı yönetim sistemi
• Coğrafi bilgi sistemleri
• Bulanık mantık
• Genetik algoritma

Pavement Management Systems Application with Geographic Information System Method

Öz

In this study, performance models were developed. Software in Visual Basic programming language was used for the developed model. Using the software, both the present condition of the pavement can be examined and future performance based on expected traffic values can be predicted. So, the software can be used at both network and project level. Cost and benefit values taken from the literature were used in determining the cost-benefit ratio. Using the genetic algorithm approach, a computer program in Visual Basic programming language was written. Using the model developed, a five-year maintenance and rehabilitation program can be planned for a given database considering budget restraints. The developed models were merged by writing Geographic Information System (GIS) software in order to show the effectiveness of models and adopt the models into a GIS. For this purpose, a case study of GIS was exposed. The control of the overall system can be applied in addition to the application of the model at network level. The developed software allows data to be transferred to the database, analyses and different scenario applications for showing GIS results.

Anahtar Kelimeler

• Pavement management systems
• Geographic information systems
• Fuzzy logic
• Genetic algorithm

Kaynakça

1. Aslan. L., 2009, “Türkiye’de ulaştırma sektörünün gelişmesinde devletin yeri ve önemi,” Yüksek Lisans Tezi, Dokuz Eylül Üniversitesi Sosyal Bilimler Enstitüsü, 130s, Izmir (in Turkish).
2. Iyinam. S., Ergun. M., and Iyinam AF. Modeling of state highway pavement maintenance work. Scientific Research and Essays. Vol. 5(21), Available online at http://www.academicjournals.org/SRE,4 November, 2010, pp. 3201-3205.
3. KGM, 2015., “İnformation of Road Netrtwork”, General Directorate of Turkish Highways http://www.kgm.gov.tr/SiteCollectionDocuments/KGMdocuments/Istatistikler/DevletIlYolEnvanter/SatihYolAgiUzunlugu.pdf, Accessed September 01, 2015.
4. KGM, 1994, “Pavement Management System Planning and Pilot Project Work, General Directorate of Turkish Highways,” Technical Research Department, Ankara, Turkey.
5. Ismail. N., Ismail. A., Atiq R.,An “Overview of Expert Systems in Pavement Managemen,” European Journal of Scientific Research, Vol:30 No:1, 2009, pp.99-111.
6. Lee, H.N., S. Jitprasithsiri, H. Lee, and R.G. Sordic, “Development of a Geographic Information System-Based Pavement Management for Salt Lake City,” Transportation Research Record 1524, Transporta-tion Research Board, National Research Council, Washington, D.C., 1996, pp. 16–24.
7. Zhang, Z., S.G. Smith, and W.R. Hudson, “Geographic Information System Implementation Plan for Pavement Management Information System: Texas Department of Transportation,” Transportation Research Record 1769, Transportation Research Board, National Research Council, Washington, D.C., 2001, pp. 46–50.
8. Parida M., 2005, “Enhancing pavement management systems using GIS”, Transport 158, Issue TR2, Rookee, India.

9. Elhadi. H.M.A., 2009, Royal Instıtute Of Technology GIS, A tool for pavement management, Master’s of Science Thesis in Geoinformatics, Department of Urban Planning and Environment, School of Architecture and the Built Environment Royal Institute of Technology (KTH), 51s, Sweden.
10. Neelam, Jain., Nanda, P.K., Durai, B.K., Prasada, Rao., 2003, Geographical Information System for Pavement Management System, en development.net (Ed.). Map Asia Conference 2003, Transportation. Kuala Lumpur, Malaysia.
11. Ay, S., 2001, “Antalya Bölgesindeki Devlet Yollarının Üstyapı Performanslarının Analizi ve İyileştirme Çalışmaları,” Yüksek Lisans Tezi, AÜ Fen Bilimleri Enstitüsü (in Turkish).
12. Kırbaş U., 2007, Example of Pavement Management System and the Beşiktaş District and Research on the Application, Yıldız Technical University, Institute of Science, Master of Science Thesis, 168s, Istanbul.
13. Karan MA, Haas R, Walker T. Illustration of pavement management: from data inventory to priority analysis. Transport Res Rec 1981;814:22–8.
14. Rada GR, Perl J, Witczak W. Integrated model for Project level management of flexible pavements. J Transport Eng 1985;112(4): 381–99.
15. Tavakoli A, Lapin ML, Ludwig F. PMSC: pavement management system for small communities. J Transport Eng 1992;118(2):270–81
16. Terzi. S., 2006, “Modeling the Pavement Present Serviceability Index of Flexible Highway Pavements Using Data Mining”, J. Appl. Sci. 6(1): 193-197.
17. Kırbaş. U., and Gursoy, M., Developing the basics of pavement management system in Beşiktaş district and evaluation of the selected sections. Scientific Research and Essays. Vol. 5(8), Available online at http://www.academicjournals.org/SRE,18 April, 2010, pp. 806-812.
18. NCHRP, SYNTHESIS 335, Pavement Management Applications Using Geographic Information Systems, A Synthesis of Highway Practice, Natıonal Cooperatıve Hıghway Research Program, Transportatıon Research Board, Washington, D.C., 2004, 66 pp.
19. AASHTO 1990, “Guidelines for Pavement Management Systems,” American Association of State Highway and Transportation Officials, Washington, D.C.,45 pp.
20. Ferreira, A., Picado-Santos. L., Wuc. Z., and Flintschd. G., “Selection of pavement performance models for use in the Portuguese PMS,” International Journal of Pavement Engineering Vol. 12, No. 1, February 2011, pp. 87–97.
21. Haas, R., Hudson, W. R., Zaniewski, J., 1994, Modern pavement management.
22. Hergüner, A.T., Ağar, E., 2010. Türkiye Otoyol Ağı İçin Üstyapı Performans Tahmin Modellerinin Geliştirilmesi, İtü dergisi/d Mühendislik 9(6), 105-113
23. Shahin, MY., 2002, Pavement Management for Airports, Roads and Parling Lots. Kluwer Academic Publishers, Massachusetts, U.S.A.
24. Flintsch, G.W., “Soft Computing Applications in Pavement and Infrastructure Management: State-of-the-Art” , 82nd Annual Meeting of the Transportation Research Board, Washington, D.C., Jan. 12–16, 2003 (preprint 03-3767).
25. Shahin, M.Y., 1994, “Pavement Management For Airport, Roads, and Parking Lots”. Chapman& Hall, New York. ISBN 0-412-99201-9.
26. Jung, F. W., Kher, R. K., Phang,W. A., 1976, Subsystem for predicting flexible pavement performance, Highway Research Record, pp. 15-29.
27. Moavenzadeh, F., 1976, Stochastic model for prediction of pavement performance, Transportation Research Record, 575, pp. 56-73.
28. Alsherri, A., and George, K.P., 1988, “Reliability Model for Pavement Performance”, Journal of Transportation Engineering, Volume 114, Number 2, pp. 294-306.
29. Butt, A.A., Shahin, M.Y., Carpenter, S.T. and Carnahan, J.V. 1994, “Application of Markov Process to Pavement Management Systems at Network Level,” Proceedings of the Third International Conference on Managing Pavements, San Antonio, Texas, May, pp. 159-172.
30. Shahin, M. Y., Becker, J. M., 1984, Development of performance prediction models for airfield pavements, Transportation Research Record, Vol. 985, pp. 25-33.
31. Owusu-Ababio, S., 1998. Effect of neural Network Topology on Flexible Pavement Cracking Prediction, Computer Aided Civil and Infrastructure Engineering, Vol. 13, pp. 349-355.
32. Jahren, C. T., Cawley, B., Ellsworth, B., Bergerson, K. L., 1998, Review of cold in-place asphalt recycling in Iowa, Transportation Conference Proceedings, pp. 259-263.
33. Attoh-Okine, N. O., 2002, “Combining use of rough set and artificial neural networks in developed-pavement-performance modeling-a hybrid approach,” ASCE Journal of Transportation Engineering, Vol. 128, No. 3, pp. 270-275.