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Reseach Article

Traffic Congestion Evaluation using GIS Case Study: Jeddah City

by Mazloh Al-Enazi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 138 - Number 1
Year of Publication: 2016
Authors: Mazloh Al-Enazi
10.5120/ijca2016908634

Mazloh Al-Enazi . Traffic Congestion Evaluation using GIS Case Study: Jeddah City. International Journal of Computer Applications. 138, 1 ( March 2016), 7-11. DOI=10.5120/ijca2016908634

@article{ 10.5120/ijca2016908634,
author = { Mazloh Al-Enazi },
title = { Traffic Congestion Evaluation using GIS Case Study: Jeddah City },
journal = { International Journal of Computer Applications },
issue_date = { March 2016 },
volume = { 138 },
number = { 1 },
month = { March },
year = { 2016 },
issn = { 0975-8887 },
pages = { 7-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume138/number1/24341-2016908634/ },
doi = { 10.5120/ijca2016908634 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:39:40.655560+05:30
%A Mazloh Al-Enazi
%T Traffic Congestion Evaluation using GIS Case Study: Jeddah City
%J International Journal of Computer Applications
%@ 0975-8887
%V 138
%N 1
%P 7-11
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The emergence of traffic and subsequently traffic congestion in urban road networks are increasing worldwide with the growing number of vehicles, which results in excess delays, and reduced safety. The aim of this paper is to use many GIS functions (network analyst, shortest path) in evaluating traffic congestions point during working day hours according to roads directions. The study area is a residential area of Jeddah city, Saudi Arabia. A geo-database is designed that includes the road network with their directions that located in Jeddah city. Several GIS functions are used in this paper including network analyst and overlay analysis using ArcGIS 10.2. The priority results are utilized in evaluating congestion points according to roads direction, which can help planner in re-assigning roads directions to mitigate congestion points at all parts of Jeddah city.

References
  1. Antenucci J., Brown K., Croswell P. Kevany M., with Archer H., (1991) Geographic Information System: A Guide to the Technology.
  2. Olson, D, Chae, B, and Sheu, C (2005) ‘ Issues in multinational ERP implementation’ Int. J. of Services and Operations Management 2005 - Vol. 1, No.1 pp. 7 - 21.
  3. Gulliver, J.; Hoogh, K.; Fecht, D.; Vienneau, D.; Briggs, D. 2011. Comparative assessment of GIS-based methods and metrics for estimating long-term exposures to air pollution, Atmospheric Environment 45(39): 7072 7080.http://dx.doi.org/10.1016/j.atmosenv.2011.09.042.
  4. Tazin Malgundkar et. Al., “GIS DRIVEN URBAN TRAFFIC ANALYSIS BASED ON ONTOLOGY”, International Journal of Managing Information Technology (IJMIT)Vol.4, No.1, February 2012.
  5. Al Ahmadi, K, See, L.M., Heppenstall, A.J., and Hogg, J. (2009). Calibration of a fuzzy cellular automata model of urban dynamics in SaudiArabia. Ecological Complexity, 6(2), 80-101.
  6. Cheng, E, and Ling Yu, H, (2007) ‘ A GIS approach to shopping mall location selection Building and Environment’ Vol. 42, pp. 884–892.
  7. Taylor, MAP., Woolley, JE., and Zito, R. (2000). Integration of the global positioning system and geographical information systems for traffic congestion studies. In ThillJ.C. (ed.) Geographic Information Systems in Transportation Research (1st ed). Elsevier Science Limited, Amsterdam, the Netherlands.
  8. Gang Cheng, Qingyun Du, Hongli Ma, (2008) “The Design and Implementation of Rules Based Knowledge Base for Transportation”, IEEE International Conference on Computer Science and Software Engineering, Vol. 3, pp 1035 – 1038.
  9. Grimshaw D., (2000) Bringing Geographical Information Systems into Business, Wiley, New York.
  10. Zhan, F. B. and Noon, C. E. (1996) Shortest Path Algorithms: An Evaluation using Real Road Transportation Science vol. 32, no. 1, pp. 65-73.
  11. Pathan (1994), ‘Optimization of Transportation Routes using GIS techniques’.
  12. Alterkawi M. (2001). Application of GIS in Transportation Planning:The Case of Riyadh, the Kingdom of Saudi Arabia. GBER Vol. 1 No. 2 2001 pp 38-46.
  13. Leite, and FERREIRA (2011). Application of GIS in Public Transportation. Proceedings of 7VCT, Lisbon, Portugal- pp.439-446.
  14. IBI, G. (2007). Jeddah Public Transportation Study. Ministry of Transportation, Saudi Arabia.
  15. Aljoufie, M., Zuidgeest, M.H.P., Brussel, M.J.G., and van Maarseveen, M.F.A.M. (2011). Urban growth and transport understanding the spatial temporal relationship, in: Pratelli, A.,Brebbia, C.A. (Eds.), Urban transport XVII : urban transport and the environment in the 21st Century. WIT press, Southampton, pp. 315-328.
  16. Daghistani, A. (1993). A case study in planning implementation. Working paper no. 32. University of Newcastle upon Tyne.
  17. Jeddah Municipality (2004). Jeddah Structure Plan, Jeddah Municipality, Saudi Arabia.
  18. Lim, Y. and Kim, H., 2005. A shortest path algorithm for real road network based on path overlap. Journal of the Eastern Asia Society for Transportation Studies, 6 (1), 1426-1438.
  19. Panahi, S. and Delavar, M., 2008. A GIS-based dynamic shortest path determination in emergency vehicles. World Applied Sciences Journal, 3 (1), 88-94.
  20. Naqi, A., Akhter, N., and Ali, N., 2010. Developing components of web GIS for shortest path analysis “Find Shortest Route”: A geographical explanation for SSGC, Pakistan. Sindh University Research Journal, 42 (1), 23-30.
Index Terms

Computer Science
Information Sciences

Keywords

GIS Traffic congestion Jeddah