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Two-dimensional LWR model for lane-free traffic. (English) Zbl 07723534

Summary: While macroscopic models for single or multi-lane traffic flow are well established, these models are not applicable to the dynamics and characteristics of disordered traffic which is characterized by widely different types of vehicles and no lane discipline. We propose a first-order two-dimensional Lighthill-Whitham-Richards (LWR) model for the continuous macroscopic longitudinal and lateral dynamics of this type of traffic flow. The continuity equation is extended into two dimensions and the equation is closed by assuming a longitudinal flow-density relationship as in traditional one-dimensional models while the lateral dynamics is based on boundary repulsion and a desire of a majority of the drivers to go to less dense regions. This is equivalent to Fick’s law giving rise to a lateral diffusion term. Using the proposed model, several numerical tests were conducted under different traffic scenarios representing a wide range of traffic conditions. Even for extreme initial conditions, the model’s outcome turned out to be plausible and consistent with observed traffic flow dynamics. Moreover, the numerical convergence test is performed using an analytical solution for lateral steady-state conditions. The model was applied for bicycle simulation and reproduced the evolution of lateral density profile with asymmetric behavior.

MSC:

82-XX Statistical mechanics, structure of matter

Software:

HE-E1GODF

References:

[1] Lighthill, M. J.; Whitham, G. B., On kinematic waves. II, A theory of traffic flow on long crowded roads, Proc. R. Soc. Lond. Ser. A, 229, 317-345 (1955) · Zbl 0064.20906
[2] Richards, P. I., Shock waves on the highway, Oper. Res., 4, 42-51 (1956) · Zbl 1414.90094
[3] Gazis, D. C.; Herman, R.; Weiss, G. H., Density oscillations between lanes of a multilane highway, Oper. Res., 10, 658-667 (1962) · Zbl 0114.11803
[4] Munjal, P. K.; Pipes, L. A., Propagation of on-ramp density waves on uniform unidirectional multilane freeways, Transp. Sci., 5, 4, 390-402 (1971)
[5] Michalopoulos, P. G.; Beskos, D. E.; Yamauchi, Y., Multilane traffic flow dynamics: Some macroscopic considerations, Transp. Res. B, 18, 4-5, 377-395 (1984)
[6] Daganzo, C. F., A behavioral theory of multi-lane traffic flow, Part I: Long homogeneous freeway sections, Transp. Res. B, 36, 131-158 (2002)
[7] Laval, J. A.; Daganzo, C. F., Lane-changing in traffic streams, Transp. Res. B, 40, 3, 251-264 (2006)
[8] Roncoli, C.; Papageorgiou, M.; Papamichail, I., Traffic flow optimisation in presence of vehicle automation and communication systems - Part I: A first-order multi-lane model for motorway traffic, Transp. Res. C, 57, 241-259 (2015)
[9] Subraveti, H. H.S. Nagalur; Knoop, V. L.; van Arem, B., First order multi-lane traffic flow model – an incentive based macroscopic model to represent lane change dynamics, Transportmetrica B Transp. Dyn., 7, 1, 1758-1779 (2019)
[10] Nair, R.; Mahmassani, H. S.; Miller-Hooks, E., A porous flow approach to modeling heterogeneous traffic in disordered systems, Transp. Res. B, 45, 9, 1331-1345 (2011)
[11] Shiomi, Y.; Taniguchi, T.; Uno, N.; Shimamoto, H.; Nakamura, T., Multilane first-order traffic flow model with endogenous representation of lane-flow equilibrium, Transp. Res. C, 59, 198-215 (2015)
[12] Gashaw, S.; Goatin, P.; Härri, J., Modeling and analysis of mixed flow of cars and powered two wheelers, Transp. Res. C, 89, 148-167 (2018)
[13] Bhavathrathan, B.; Mallikarjuna, C., Evolution of macroscopic models for modeling the heterogeneous traffic: an Indian perspective, Transp. Lett., 4, 1, 29-39 (2012)
[14] Mayakuntla, S. K.; Verma, A., Cell transmission modeling of heterogeneous disordered traffic, J. Transp. Eng. Part A Syst., 145, 7, Article 04019027 pp. (2019)
[15] Ahmed, A.; Ukkusuri, S. V.; Mirza, S. R.; Hassan, A., Width-based cell transmission model for heterogeneous and undisciplined traffic streams, Transp. Res. Rec., 2673, 5, 682-692 (2019)
[16] Gupta, A. K.; Dhiman, I., Analyses of a continuum traffic flow model for a non-lane-based system, Internat. J. Modern Phys. C, 25, 9 (2014)
[17] Mohan, R.; Ramadurai, G., Multi-class traffic flow model based on three-dimensional flow-concentration surface, Physica A, 577, Article 126060 pp. (2021) · Zbl 1528.90072
[18] Aw, A.; Rascle, M., Resurrection of second order models of traffic flow, SIAM J. Appl. Math., 60, 916-938 (2000) · Zbl 0957.35086
[19] Fosu, G. O.; Oduro, F. T.; Caligaris, C., Multilane analysis of a viscous second-order macroscopic traffic flow model, SN Partial Differ. Equ. Appl., 2, 7 (2021) · Zbl 1465.35303
[20] Kaur, D.; Sharma, S.; Gupta, A. K., Analyses of lattice hydrodynamic area occupancy model for heterogeneous disorder traffic, Physica A, 607 (2022) · Zbl 07614933
[21] Herty, M.; Moutari, S.; Visconti, G., Macroscopic modeling of multi-lane motorways using a two-dimensional second-order model of traffic flow, SIAM J. Appl. Math., 78 (2018) · Zbl 1395.90078
[22] Balzotti, C.; Göttlich, S., A two-dimensional multi-class traffic flow model, Netw. Heterog. Media, 16, 1, 69-90 (2021)
[23] Herty, M.; Fazekas, A.; Visconti, G., A two-dimensional data-driven model for traffic flow on highways, Netw. Heterog. Media, 13, 2, 217-240 (2018) · Zbl 1405.90044
[24] Sukhinova, A. B.; Trapeznikova, M. A.; Chetverushkin, B. N.; Churbanova, N. G., Two-dimensional macroscopic model of traffic flows, Math. Models Comput. Simul., 1, 669-676 (2009) · Zbl 1195.90026
[25] Mohan, R., Multi-class AR model: comparison with microsimulation model for traffic flow variables at network level of interest and the two-dimensional formulation, Int. J. Modelling Simul., 41, 2, 81-91 (2019)
[26] Vikram, D.; Mittal, S.; Chakroborty, P., Stabilized finite element computations with a two-dimensional continuum model for disorderly traffic flow, Comput. & Fluids, 232, Article 105205 pp. (2022) · Zbl 1521.76043
[27] Mollier, S.; Monache, M. L. Delle; Canudas-de Wit, C.; Seibold, B., Two-dimensional macroscopic model for large scale traffic networks, Transp. Res. B, 122, 309-326 (2019)
[28] Del Castillo, J. M.; Benítez, F. G., On the functional form of the speed-density relationship—ii: empirical investigation, Transp. Res. B, 29, 391-406 (1995)
[29] Ahmed, A.; Ngoduy, D.; Adnan, M.; Baig, M. A.U., On the fundamental diagram and driving behavior modeling of heterogeneous traffic flow using UAV-based data, Transp. Res. A, 148, 100-115 (2021)
[30] Treiber, M.; Kesting, A., Traffic Flow Dynamics: Data, Models and Simulation (2013), Springer: Springer Berlin
[31] Strang, G., On the construction and comparison of difference schemes, SIAM J. Numer. Anal., 5, 3, 506-517 (1968) · Zbl 0184.38503
[32] Toro, E. F., Riemann Solvers and Numerical Methods for Fluid Dynamics: A Practical Introduction (2013), Springer Science & Business Media
[33] Gosse, L., A two-dimensional version of the godunov scheme for scalar balance laws, SIAM J. Numer. Anal., 52, 2, 626-652 (2014) · Zbl 1295.65084
[34] Toledo, T.; Zohar, D., Modeling duration of lane changes, Transp. Res. Rec., 1999, 1, 71-78 (2007)
[35] Guo, N.; Jiang, R.; Wong, S. C.; Hao, Q. Y.; Xue, S. Q.; Hu, M. B., Bicycle flow dynamics on wide roads: Experiments and simulation, Transp. Res. C, 125, Article 103012 pp. (2021)
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