Share This Article:

Traffic Fluxes and Urban Congestion: A Simple Approach with the Attractors’ Method

Abstract Full-Text HTML Download Download as PDF (Size:3912KB) PP. 494-502
DOI: 10.4236/jgis.2012.46054    4,344 Downloads   6,606 Views   Citations


Situations of heavy and congested traffic in urban areas have been analysed by using a statistical approach based on both the identification of specific locations that attract drivers in a multipoint-to-multipoint traffic structure and their classification (attractor’s value) as a function of the number of people visiting them by car in different time ranges. By using a Kernel Density Estimation (KDE) function, attractors’ distribution density values have been estimated and then integrated with nodal and critical traffic points and traffic density in a “congestion” map. Finally, cross-comparing congestion values with the location of buildings, the road network and the Corine Land Use/Land Cover environmental classification, a “Quality of Life” map has been generated. The authors use this term because the congestion of traffic flows, with all the problems that it entails (such as long travel time, air and acoustic pollution, and so on) is a good indicator of the quality of life, especially in small towns. Results show that this type of “off-line” analysis would allow administrators to identify, quickly and at low cost, areas where citizens’ quality of life is most affected by traffic noise and jumps and, hence, to focus costly ground measurements and interventions primarily there.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

E. Loret, G. Gullotta, M. Fea and F. Sarti, "Traffic Fluxes and Urban Congestion: A Simple Approach with the Attractors’ Method," Journal of Geographic Information System, Vol. 4 No. 6, 2012, pp. 494-502. doi: 10.4236/jgis.2012.46054.


[1] S. Maerivoet and B. De Moor, “Cellular Automata Models of Road Traffic,” Physics Reports, Vol. 419, No. 1, 2005, pp. 1-64. doi:10.1016/j.physrep.2005.08.005
[2] M. J. Lighthill and G. B. Whitham, “On Kinematic Waves: II. A Theory of Traffic on Long Crowded Roads,” Proceedings of the Royal Society A, Vol. 299, No. 1178, 1955, pp. 317-345.
[3] P. I. Richards, “Shock Waves on the Highway,” Operations Research, Vol. 4, No. 1, 1956, pp. 42-51.
[4] C. Kemper, “Dynamic Traffic Flow Model—A New Approach with Static Data,” Proceedings of the 5th European Congress and Exhibition on Intelligent Transport Systems (ITS), Hannover, 1-3 June 2005, pp. 1-13.
[5] E. Loret, “Estimation of Increasing Urbanization Trend in the Frascati DOC Wine Area: A Geostatistical Analysis Approach,” Geoinformation Ph.D. Thesis, DISP, University of Rome “Tor Vergata”, Rome, 2010.
[6] G. Gullotta, “An Application of Landscape Analysis Techniques to the Northern Sector of the Latium Volcano,” Degree Thesis, Sapienza University of Rome, Rome, 2010.
[7] A. Gatrell, T. Bailey, P. Diggle and B. Rowlingson, “Spatial Point Pattern Analysis and Its Application in Geographical Epidemiology,” Transactions of the Institute of British Geographers, Vol. 21, No. 1, 1996, pp. 256-274. doi:10.2307/622936

comments powered by Disqus

Copyright © 2018 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.