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Numerical Solution of Homogeneous Aw-Rascle Type Traffic Flow Models Using an Improved Wave Propagation-HLLE Approach | ||
| Control and Optimization in Applied Mathematics | ||
| مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 18 اسفند 1404 اصل مقاله (4.32 M) | ||
| نوع مقاله: Research Article | ||
| شناسه دیجیتال (DOI): 10.30473/coam.2026.75815.1338 | ||
| نویسندگان | ||
| Alireza Ezzati1؛ Mahdi Mollazadeh1؛ Sadegh Moodi2؛ Morteza Araghi* 1؛ Hossein Mahdizadeh1 | ||
| 1Department of Civil Engineering, Faculty of Engineering, University of Birjand, Iran | ||
| 2Department of Civil Engineering, Faculty of Mining, Civil and Chemical Engineering, Birjand University of Technology, Birjand, Iran | ||
| چکیده | ||
| Homogeneous second-order Aw-Rascle-type models have demonstrated greater effectiveness than their non-homogeneous counterparts in traffic flow modeling. This study addresses the numerical solution of hyperbolic conservation laws governing these models by coupling the second-order HLLE Riemann solver, a Godunov-type finite volume approach, with the wave propagation algorithm. A novel wave-speed selection strategy is proposed by comparing characteristic velocities with Roe speeds, yielding solutions with guaranteed positive density and speed. The proposed IWP-HLLE method is applied to simulate shock, rarefaction, and contact discontinuity waves under homogeneous long-road conditions, eliminating the influence of external source terms and ensuring the homogeneity of the governing hyperbolic equations. Its performance is benchmarked against the MacCormack scheme supplemented by two standard stabilization techniques, namely artificial viscosity (AV) and central differencing (CD). Spatiotemporal distributions and density profiles are examined across four representative traffic scenarios: free flow, congested traffic flow, queue dissolution, and congested flow with non-equilibrium velocity and uniform density. The results demonstrate that the IWP-HLLE approach substantially suppresses numerical oscillations compared to both AV and CD methods while maintaining stability across all test cases. | ||
تازه های تحقیق | ||
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| کلیدواژهها | ||
| Aw-Rascle-Zhang model؛ Finite volume method؛ HLLE Riemann solver؛ IWP-HLLE approach؛ Wave propagation algorithm | ||
| مراجع | ||
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[1] Araghi, M., Mahdizadeh, H., Moodi, S. (2021). “Numerical modelling of macroscopic traffic flow based on driver physiological response using a modified wave propagation algorithm”. Journal of Decisions and Operations Research, 6(3), 350–364. DOI: https: //doi.org/10.22105/dmor.2021.271141.1313 [2] Araghi, M., Mahdizadeh, S., Mahdizadeh, H., Moodi, S. (2021). “A modified flux-wave formula for the solution of second-order macroscopic traffic flow models”. Nonlinear Dynamics, 106(4), 3507–3520. DOI: https://doi.org/10.1007/ s11071-021-06935-w [3] Aw, A., Rascle, M. (2000). “Resurrection of second order models of traffic flow”. SIAM Journal on Applied Mathematics, 60(3), 916–938. DOI: https://doi.org/10.1137/ S0036139997332099 [4] Dabiri, A., Kulcsár, B. (2015). “Freeway traffic incident reconstruction – A bi-parameter approach”. Transportation Research Part C: Emerging Technologies, 58, 585–597. DOI: https://doi.org/10.1016/j.trc.2015.03.038 [5] Delis, A.I., Nikolos, I.K., Papageorgiou, M. (2014). “High-resolution numerical relaxation approximations to second-order macroscopic traffic flow models”. Transportation Research Part C: Emerging Technologies, 44, 318–349. DOI: https://doi.org/10. 1016/j.trc.2014.04.004 [6] Delis, A.I., Nikolos, I.K., Papageorgiou, M. (2015). “Macroscopic traffic flow modeling with adaptive cruise control: Development and numerical solution”. Computers & Mathematics with Applications, 70(8), 1921–1947. DOI: https://doi.org/10.1016/ j.camwa.2015.08.002 [7] Einfeldt, B. (1988). “On Godunov-type methods for gas dynamics”. SIAM Journal on Numerical Analysis, 25(2), 294–318. DOI: https://doi.org/10.1137/0725021 [8] Kerner, B. S., Konhäuser, P. (1994). “Structure and Parameters of Clusters in Traffic Flow”. Physical Review E, 50(1), 54–83. DOI: https://doi.org/10.1103/PhysRevE.50.54 [9] Khan, Z.H., Gulliver, T.A., Nasir, H., Rehman, A., Shahzada, K. (2019). “A macroscopic traffic model based on driver physiological response”. Journal of Engineering Mathematics, 115(1), 21–41. DOI: https://doi.org/10.1007/s10665-019-09990-w [10] Lebacque, J.-P., Mammar, S., Haj-Salem, H. (2007). “The Aw–Rascle and Zhang’s model: Vacuum problems, existence and regularity of the solutions of the Riemann problem”. Transportation Research Part B: Methodological, 41(7), 710–721. DOI: https://doi. org/10.1016/j.trb.2006.11.005 [11] LeVeque, R.J. (2002). “Finite Volume Methods for Hyperbolic Problems”. Cambridge University Press. DOI: https://doi.org/10.1017/CBO9780511791253 [12] Mahdizadeh, H., Sharifi, S., Omidvar, P. (2018). “On the Approximation of TwoDimensional Transient Pipe Flow Using a Modified Wave Propagation Algorithm”. Journal of Fluids Engineering, 140(7). DOI: https://doi.org/10.1115/1.4039248 [13] Mahdizadeh, H., Stansby, P.k., Rogers, B. D. (2012). “Flood Wave Modeling Based on a Two-Dimensional Modified Wave Propagation Algorithm Coupled to a Full-Pipe Network Solver”. Journal of Hydraulic Engineering, 138(3), 247–259. DOI: https://doi.org/ 10.1061/(ASCE)HY.1943-7900.0000515 [14] Mohamed, K., Abdelrahman, M.A.E. (2023). “The NHRS scheme for the two models of traffic flow”. Computational and Applied Mathematics, 42(1), 53. DOI: https://doi. org/10.1007/s40314-022-02172-y [15] Mohammadian, S., Moghaddam, A.M., Sahaf, A. (2021). “On the performance of HLL, HLLC, and Rusanov solvers for hyperbolic traffic models”. Computers & Fluids, 231, 105161. DOI: https://doi.org/10.1016/j.compfluid.2021.105161 [16] Mohammadian, S., van Wageningen-Kessels, F. (2018). “Improved Numerical Method for Aw-Rascle Type Continuum Traffic Flow Models”. Transportation Research Record, 2672(20), 262–276. DOI: https://doi.org/10.1177/0361198118784402 [17] Payne, H. (1971). “Mathematical models of public systems”. Simulation Council Proceedings Series, 1, 51–61. [18] Rastegar Moghadam Najafzadeh, M., Araghi, M., Moodi, S., Mollazadeh, M., Mahdizadeh, H. (2025). “An improved flux wave-HLLE approach for the solution of traffic flow models based on transition velocities”. AUT Journal of Civil Engineering, 9(2), 159–170. DOI: https://doi.org/10.22060/ajce.2025.23594.5887 [19] Smoller, J. (2012). “Shock Waves and Reaction–Diffusion Equations”. Springer New York. DOI: https://doi.org/10.1007/978-1-4612-0873-0 [20] Treiber, M., Kesting, A. (2013). “Traffic Flow Dynamics: Data, Models and Simulation”. Springer Berlin Heidelberg. DOI: https://doi.org/10.1007/978-3-642-32460-4 [21] van Wageningen-Kessels, F., van Lint, H., Vuik, K., Hoogendoorn, S. (2015). “Genealogy of Traffic Flow Models”. EURO Journal on Transportation and Logistics, 4(4), 445–73. DOI: https://doi.org/10.1007/s13676-014-0045-5 [22] Witham, GB. (1974). “Linear and Non-Linear Waves”. John Wiley & Sons, New York. DOI: https://doi.org/10.1002/9781118032954 [23] Zhang, H.M. (2001). “New perspectives on continuum traffic flow models”. Networks and Spatial Economics, 1(1), 9–33. DOI: https://doi.org/10.1023/A:1011539112438 [24] Zhang, H.M. (2002). “A Non-Equilibrium Traffic Model Devoid of Gas-Like Behavior”. Transportation Research Part B: Methodological, 36(3), 275–90. DOI: https://doi. org/10.1016/S0191-2615(00)00050-3 | ||
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