MATH 5740/MATH 6870 001 MATH MODELING
MWF 09:40 AM-10:30 AM AEB 310
Three credit hours
Instructor:
Professor Andrej Cherkaev Department of Mathematics Office: JWB 225 Email: cherk@math.utah.edu Tel : +1 801 - 581 6822 |
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The main text: Stephen Childress (NYU) Notes on traffic flow:
http://www.math.nyu.edu/faculty/childres/traffic3.pdf
More simple presentation: Kurt Bryan (Rose-Hulman).
Traffic flow I http://www.rose-hulman.edu/~bryan/lottamath/traffic1.pdf
Traffic flow II http://www.rose-hulman.edu/~bryan/lottamath/traffic2.pdf
Engineering textbook exposition L.H. Immers and S. Logghe. (KATHOLIEKE UNIVERSITEIT LEUVEN) Traffic Flow Theory 2002
https://www.mech.kuleuven.be/cib/verkeer/dwn/H111part3.pdf
Discussion of traffic shock waves: Christopher Lustri (Oxford, UK) Continuum Modelling of Traffic Flow 2010 http://people.maths.ox.ac.uk/lustri/Traffic.pdf
Projects
1. Consider a circular road with initial distribution of the cars. Model and simulate traffic starting from an inhomogeneous density distribution.
Try to change the speed function u(rho) (endorse regulations) to influence traffic jams: Assume that u depends on rho and x, u=u(rho, x). In a point of the road, the speed must be reduced to the half of the maximal speed. (Group 1)
2. Add the dissipation to the traffic model. Investigate the dependence of close-to-shock wave motion on the dissipation parameter D. (Group 2)
3. Model and simulate traffic on a road with one entry and one exit. Regulate the entry density to avoid jams. Estimate the effect of regulation on the travel time.(Group 3)
4. Model and simulate traffic at a two-line road when one line is closed. Change the speed limit before the point of closure. How this affects the traffic jam and the travel time. (Groups 4, 5)
5. Impement Rule 184 model for 12 cars in a circular road of 80 cells. (Group 6)
Additional sources (numerics and modeling)
1. Modeling and Numerical Approximation of Traffic Flow Problems Prof. Dr. Ansgar Jungel A Universitaat Mainz Lecture Notes (preliminary version) http://asc.tuwien.ac.at/~juengel/scripts/trafficflow.pdf numeric, burger's equation
Home work: Evolutionary games Due Friday March 7.
2. http://www.mat.univie.ac.at/~obertsch/literatur/burgers_equation.pdf Theory and simulation.
3. http://digitalscholarship.unlv.edu/cgi/viewcontent.cgi?article=1087&context=ece_fac_articles derivation, numerical advices
4. Google "Rule 184"
Original formulation of the evolutionary problem
Project: Chain reaction List of projects
Projects: Design List of projects