Numerical Simulation of Diffusion Type Traffic Flow Model Using Second-Order Lax-Wendroff Scheme Based on Exponential Velocity Density Function
- 1 Department of Mathematics, Dhaka University of Engineering & Technology, Gazipur, Bangladesh
- 2 Department of Basic Science and Humanities, University of Asia Pacific, Dhaka, Bangladesh
- 3 Department of Mathematics, Jahangirnagar University, Dhaka, Bangladesh
Abstract
In order to control traffic congestion , many mathematical models have been used for several decades. In this paper, we study diffusion-type traffic flow model based on exponential velocity density relation , which provides a non-linear second-order parabolic partial differential equation. The analytical so lution of the diffusion-type traffic flow model is very complicated to ap prox imate the initial density of the Cauchy problem as a function of x from given data and it may cause a huge error. For the complexity of the analytical solution, the numerical solution is performed by implementing an ex plicit upwind, explicitly centered, and second-order Lax-Wendroff scheme for the numerical solution. From the comparison of relative error among these three schemes, it is observed that Lax-Wendroff scheme gives less error than the explicit upwind and explicit centered difference scheme. The numerical, analytical analysis and comparative result discussion bring out the fact that the Lax-Wendroff scheme with exponential velocity-density relation of diffu sion type traffic flow model is suitable for the congested area and shows a better fit in traffic - congested region s .
- Greenshields, B.D. (1934) A Study of Traffic Capacity. Highway Research Board, 14, 448-477.
- Lighthill, M.J. and Whitham, G.B. (1955) On Kinematics Waves II. A Theory of Traffic Flow on Long Crowded Roads. Proceedings of the Royal Society of London, Series A. Mathematical and Physical Sciences, 229, 317-345. https://doi.org/10.1098/rspa.1955.0089
- Habermann, R. (1977) Mathematical Models: Mechanical Vibration, Population Dynamics and Traffic Flow. Prentice-Hall, Inc., Englewood Clifts, NJ.
- Lighthill, M.J. and Whitham, G.B. (1955) On Kinematics Waves I. Flood Movement in Long Rivers. Proceedings of the Royal Society of London, Series A. Mathematical and Physical Sciences, 229, 281-316. https://doi.org/10.1098/rspa.1955.0088
- Payne, H.J. (1971) Models of Freeway Traffic and Control. In: Bekey, G.A., Ed., Mathematical Models of Public Systems, Vol. 1, Simulation Council, La Jolla, CA, 51-61.
- Khune, R. (1984) Macroscopic Freeway Model for Dense Traffic Stop-Start Waves and Incident Detection. 9th International Symposium on Transportation and Traffic Theory, Delft, 11-13 July 1984, 21-42.
- LeVeque, R.J. (1992) Numerical Method for Conservation Laws. 2nd Edition, Springer, Berlin.
- Daganzo, C.F. (1995) A Finite Difference Approximation of the Kinematic Wave Model of Traffic Flow. Transportation Research Part B: Methodologist, 29, 261-276. https://doi.org/10.1016/0191-2615(95)00004-W
- Azam, T., Ali, S. and Andallah, L.S. (2011) An Analytical Method and a Numerical Scheme for the Solution of a Second Order Traffic Flow Model. International Journal of Mathematics and Mathematical Sciences, 26, 71-80.
- Gani, M.O., Hossain, M.M. and Andallah, L.S. (2011) A Finite Difference Scheme for a Fluid Dynamic Traffic Flow Model Appended with Two-Point Boundary Condition. Journal of Bangladesh Mathematical Society, 31, 43-52. https://doi.org/10.3329/ganit.v31i0.10307
- Andallah, L.S., Ali, S., Gani, M.O., Pandit, M.K. and Akhter, J. (2008) A Finite Difference Scheme for a Traffic Flow Model Based on a Linear Velocity-Density Function. Jahangirnagar University Journal of Science, 32, 57-67.
- Hasan, M., Sultana, S., Andallah, L.S. and Azam, T. (2015) Lax-Friedrich Scheme for the Numerical Simulation of Traffic Flow Model Based on a Non-Linear Velocity-Density Relation. American Journal of Computational Mathematics, 5, 186-194. https://doi.org/10.4236/ajcm.2015.52015