Disorder effects in cellular automata for two-lane traffic

Knospe, Wolfgang; Santen, Ludger; Schadschneider, Andreas; Schreckenberg, Michael

doi:10.1016/s0378-4371(98)00565-2

Cited by 151 publications

(92 citation statements)

References 18 publications

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“…They fit fairly well the empirical results, which show an alignment of the speeds on different lanes and and of different types of vehicles. Nevertheless recent simulation results of Knospe et al [197] indicate that the influence of slow vehicles seems to be overestimated by the multi-lane variants of the NaSch model. In particular for symmetric lane changing rules even a single slow vehicle can dominate the dynamics close to the optimal value of the flow.…”

Section: Multi-lane Highwaysmentioning

confidence: 98%

“…Several attempts have been made so far in this direction [192][193][194][195][196][197][198][199]. The lane changing rules for two-lane traffic can be symmetric or asymmetric with respect to the lanes.…”

Section: Multi-lane Highwaysmentioning

confidence: 99%

“…In order to weaken the effect of slow vehicles they suggested to consider anticipation effects, i.e. the driver estimates the velocity of the vehicle in the next timestep [197].…”

Section: Multi-lane Highwaysmentioning

confidence: 99%

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Statistical physics of vehicular traffic and some related systems

2000

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In the so-called "microscopic" models of vehicular traffic, attention is paid explicitly to each individual vehicle each of which is represented by a "particle"; the nature of the "interactions" among these particles is determined by the way the vehicles influence each others' movement. Therefore, vehicular traffic, modeled as a system of interacting "particles" driven far from equilibrium, offers the possibility to study various fundamental aspects of truly nonequilibrium systems which are of current interest in statistical physics. Analytical as well as numerical techniques of statistical physics are being used to study these models to understand rich variety of physical phenomena exhibited by vehicular traffic. Some of these phenomena, observed in vehicular traffic under different circumstances, include transitions from one dynamical phase to another, criticality and self-organized criticality, metastability and hysteresis, phase-segregation, etc. In this critical review, written from the perspective of statistical physics, we explain the guiding principles behind all the main theoretical approaches. But we present detailed discussions on the results obtained mainly from the so-called "particle-hopping" models, particularly emphasizing those which have been formulated in recent years using the language of cellular automata.

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Section: Multi-lane Highwaysmentioning

confidence: 98%

Section: Multi-lane Highwaysmentioning

confidence: 99%

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Statistical physics of vehicular traffic and some related systems

2000

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“…They are to be distinguished from 'anticipation' terms in some models aiming at collision-free driving in 'worst-case' scenarios (sudden braking of the preceding vehicle to a standstill) when the braking deceleration is limited. Such terms typically depend on the velocity difference and are included, e.g., in the Gipps model, in the IDM, and in some cellular automata [22,36], but notably not in the OVM. The HDM is most effective when using a basic model with this kind of anticipation.…”

Section: Temporal Anticipationmentioning

confidence: 99%

Delays, inaccuracies and anticipation in microscopic traffic models

Treiber

Kesting

Helbing

2006

Physica A: Statistical Mechanics and its Applications

472

269

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We generalize a wide class of time-continuous microscopic traffic models to include essential aspects of driver behaviour not captured by these models. Specifically, we consider (i) finite reaction times, (ii) estimation errors, (iii) looking several vehicles ahead (spatial anticipation), and (iv) temporal anticipation. The estimation errors are modelled as stochastic Wiener processes and lead to time-correlated fluctuations of the acceleration.We show that the destabilizing effects of reaction times and estimation errors can essentially be compensated for by spatial and temporal anticipation, that is, the combination of stabilizing and destabilizing effects results in the same qualitative macroscopic dynamics as that of the respectively underlying simple car-following model. In many cases, this justifies the use of simplified, physics-oriented models with a few parameters only. Although the qualitative dynamics is unchanged, multianticipation increase both spatial and temporal scales of stop-and-go waves and other complex patterns of congested traffic in agreement with real traffic data. Remarkably, the anticipation allows accident-free smooth driving in complex traffic situations even if reaction times exceed typical time headways.

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“…Their model introduces the lane changing behavior for two lanes traffic. They proposed a symmetric rule set where the vehicle changes lanes if the following criteria are fulfilled: The advanced analysis about lane-changing behavior is reported which includes symmetric and asymmetric rules of lane-changing [16]- [19], [20]- [23]. Rickert et al [15] discusses criteria of safety by introducing the parameters which decide how far the vehicle looks ahead on current lane, looks ahead on desired lane, and looks back on desired lane.…”

Section: Traffic Cellular Automata Modelmentioning

confidence: 99%

Driver’s Awareness and Lane Changing Maneuver in Traffic Flow based on Cellular Automaton Model

Arai¹,

Sentinuwo²

2015

ijarai

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Abstract-Effect of driver's awareness (e.g., to estimate the speed and arrival time of another vehicle) on the lane changing maneuver is discussed. "Scope awareness" is defined as the visibility which is required for the driver to make a visual perception about road condition and the speed of vehicle that appears in the target lane for lane changing in the road. Cellular automaton based simulation model is created and applied to simulation studies for driver awareness behavior. This study clarifies relations between the lane changing behavior and the scope awareness parameter that reflects driver behavior. Simulation results show that the proposed model is valid for investigation of the important features of lane changing maneuver.

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Disorder effects in cellular automata for two-lane traffic

Cited by 151 publications

References 18 publications

Statistical physics of vehicular traffic and some related systems

Statistical physics of vehicular traffic and some related systems

Delays, inaccuracies and anticipation in microscopic traffic models

Driver’s Awareness and Lane Changing Maneuver in Traffic Flow based on Cellular Automaton Model

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