Oscar A. Rosas-Jaimes
Benemérita Universidad Autónoma de Puebla
Luis Alberto Quezada Téllez
Universidad Iberoamericana
Guillermo Fernández Anaya
Universidad Iberoamericana
Vehicular traffic can be modelled as a dynamic discrete form. As in many dynamic systems, the parameters modelling traffic can produce a number of different trajectories or orbits, and it is possible to depict different flow situations, including chaotic ones. In this paper, an approach to the wellknown density-flow fundamental diagram is suggested, using an analytical polynomial technique, in which coefficients are taken from significant values acting as the parameters of the traffic model. Depending on the values of these parameters, it can be seen how the traffic flow changes from stable endpoints to chaotic trajectories, with proper analysis in their stability features.
Institute of Transportation Engineers (ITE) Traffic Engineering Handbook 6th ed. Washington DC, 2009.
Payne H., Models of freeway traffic and control, in Mathematic Models of Public Systems. Smulation Council, 1971;28(1):51–61.
Daganzo C. F., Fundamentals of Transportation and Traffic Operations, Pergamon, Elsevier.
Marušić S., Fluid Models in the Traffic Flow Theory, Promet - Traffic & Transportation, 2000;12(1):7-14.
Chapra S. and Canale R., Numerical Methods for Engineers, 6th Ed. McGraw-Hill, 2009.
Lo S.-C. and Cho H.-J., Chaos and control of discrete dynamic model, Journal of the Franklin Institute, 2005;342:839–851.
Devaney R. L., An introduction to chaotic dynamical systems, 1987.
Thamizh V. A. and Dhivya G., Measuring heterogeneous traffic density, International Journal of Engineering and Applied Sciences, 2010; 6(3): 144–148.
Kim T. and Zhang H. M., An empirical study on gap time and its relation to the fundamental diagram of traffic flow, in
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