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The physics of traffic jams
Open accessAbstract
Traffic flow is a kind of many-body system of strongly interacting vehicles.Traffic jams are a typical signature of the complex behaviour of vehicular traffic.Various models are presented to understand the rich variety of physical phenomena exhibited by traffic.Analytical and numerical techniques are applied to study these models.Particularly, we present detailed results obtained mainly from the microscopic car-following models.A typical phenomenon is the dynamical jamming transition from the free traffic (FT) at low density to the congested traffic at high density.The jamming transition exhibits the phase diagram similar to a conventional gas-liquid phase transition: the FT and congested traffic correspond to the gas and liquid phases, respectively.The dynamical transition is described by the time-dependent Ginzburg-Landau equation for the phase transition.The jamming transition curve is given by the spinodal line.The metastability exists in the region between the spinodal and phase separation lines.The jams in the congested traffic reveal various density waves.Some of these density waves show typical nonlinear waves such as soliton, triangular shock and kink.The density waves are described by the nonlinear wave equations: the Korteweg-de-Vries (KdV) equation, the Burgers equation and the Modified KdV equation.Subjects like the traffic flow such as bus-route system and pedestrian flow are touched as well.The bus-route system with many buses exhibits the bunching transition where buses bunch together with proceeding ahead.Such dynamic models as the car-following model are proposed to investigate the bunching transition and bus delay.A recurrent bus exhibits the dynamical transition between the delay and schedule-time phases.The delay transition is described in terms of the nonlinear map.The pedestrian flow also reveals the jamming transition from the free flow at low density to the clogging at high density.Some models are presented to study the pedestrian flow.When the clogging occurs, the pedestrian flow shows the scaling behaviour.
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Cited by
Statistical physics of social dynamics
Castellano, C., Fortunato, S., & Loreto, V. (2009) · Reviews of Modern Physics · doi:10.1103/revmodphys.81.591 · Cited by 4,119
Synchronization in complex networks
Arenas, A., Díaz-Guilera, A., Kurths, J., Moreno, Y., & Zhou, C. (2008) · Physics Reports · doi:10.1016/j.physrep.2008.09.002 · Cited by 3,713
General Lane-Changing Model MOBIL for Car-Following Models
Kesting, A., Treiber, M., & Helbing, D. (2007) · Transportation Research Record: Journal of the Transportation Research Board · doi:10.3141/1999-10 · Cited by 1,345
Self-control of traffic lights and vehicle flows in urban road networks
Lämmer, S., & Helbing, D. (2008) · Journal of Statistical Mechanics: Theory and Experiment · doi:10.1088/1742-5468/2008/04/p04019 · Cited by 334
Empirical Features of Congested Traffic States and Their Implications for Traffic Modeling
Schönhof, M., & Helbing, D. (2007) · Transportation Science · doi:10.1287/trsc.1070.0192 · Cited by 277
Metadata
- Authors
- Nagatani, T.
- Venue
- Reports on Progress in Physics
- Publisher
- IOP Publishing
- Published
- 2002-08-13
- Volume
- 65
- Issue
- 9
- Pages
- 1331-1386
- ISSN
- 0034-4885 (ISSN-L)
- OpenAlex
- W2037458222
- Cited by
- 974
- References
- 0
- FWCI
- 72.25
- Type
- journal article
- Language
- en
- Open access
- bronze
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