Jam formation in traffic flow on a highway with some slowdown sections

Hanaura, Hirotoshi; Nagatani, Takashi; Tanaka, Katsunori

doi:10.1016/j.physa.2006.07.032

Cited by 19 publications

(10 citation statements)

References 29 publications

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“…The jamming transition is very similar to the conventional phase transitions and critical phenomena [1,15]. When the sensitivity is higher than the critical value, the spontaneous jam does not appear, while the stationary jam induced by slowdown occurs [1,26].…”

Section: Introductionmentioning

confidence: 53%

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Traffic Flow Merging and Bifurcating at Junction on Two-Lane Highway

Tobita¹,

Naito²,

Nagatani³

2012

WJM

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In this paper we study the traffic states and jams in vehicular traffic merging and bifurcating at a junction on a two-lane highway. The two-lane traffic model for the vehicular motion at the junction is presented where a jam occurs frequently due to merging, lane changing, and bifurcating. The traffic flow is called the weaving. At the weaving section, vehicles slow down and then move aside on the other lane for changing their direction. We derive the fundamental diagrams (flow-density diagrams) for the weaving traffic flow. The traffic states vary with the density, slowdown speed, and the fraction of vehicles changing the lane. The dynamical phase transitions occur. It is shown that the fundamental diagrams depend highly on the traffic states

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Section: Introductionmentioning

confidence: 53%

“…Nagatani [25] and Hananura et al [26] showed that the traffic flow on a highway with bottlenecks can be modeled by introducing the slowdown section into the high-way. The bottleneck corresponds to the slowdown section where the maximal velocity in the optimal velocity function is reduced and less than that at the normal section.…”

Section: Introductionmentioning

confidence: 99%

Traffic Flow Merging and Bifurcating at Junction on Two-Lane Highway

Tobita¹,

Naito²,

Nagatani³

2012

WJM

Self Cite

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show abstract

“…Besides simulating traffic flows on a single lane, multi‐lane simulations have also been studied [SN03, Dav04, THG05, HNT07]. One example is the modified optimal velocity model [Dav04], which is used to simulate traffic on a dual‐lane highway and a single‐lane highway with an on‐ramp; another example is the two‐lane traffic model [THG05], which is used to simulate traffic lateral effects.…”

Section: Model‐based Traffic Simulationmentioning

confidence: 99%

A Survey on Visual Traffic Simulation: Models, Evaluations, and Applications in Autonomous Driving

Chao

et al. 2019

Computer Graphics Forum

101

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Virtualized traffic via various simulation models and real‐world traffic data are promising approaches to reconstruct detailed traffic flows. A variety of applications can benefit from the virtual traffic, including, but not limited to, video games, virtual reality, traffic engineering and autonomous driving. In this survey, we provide a comprehensive review on the state‐of‐the‐art techniques for traffic simulation and animation. We start with a discussion on three classes of traffic simulation models applied at different levels of detail. Then, we introduce various data‐driven animation techniques, including existing data collection methods, and the validation and evaluation of simulated traffic flows. Next, we discuss how traffic simulations can benefit the training and testing of autonomous vehicles. Finally, we discuss the current states of traffic simulation and animation and suggest future research directions.

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“…The impact of slowdown bottlenecks for the asymmetric simple exclusion process (ASEP) was studied in [1,2,3]. Such studies have been extended to freeway networks; see for example [4,5,6,7,8,9].…”

Section: Introductionmentioning

confidence: 99%

Traffic disruption and recovery in road networks

Zhang

Gier

Garoni

2014

Physica A: Statistical Mechanics and its Applications

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We study the impact of disruptions on road networks, and the recovery process after the disruption is removed from the system. Such disruptions could be caused by vehicle breakdown or illegal parking. We analyze the transient behavior using domain wall theory, and compare these predictions with simulations of a stochastic cellular automaton model. We find that the domain wall model can reproduce the time evolution of flow and density during the disruption and the recovery processes, for both one-dimensional systems and two-dimensional networks

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Jam formation in traffic flow on a highway with some slowdown sections

Cited by 19 publications

References 29 publications

Traffic Flow Merging and Bifurcating at Junction on Two-Lane Highway

Traffic Flow Merging and Bifurcating at Junction on Two-Lane Highway

A Survey on Visual Traffic Simulation: Models, Evaluations, and Applications in Autonomous Driving

Traffic disruption and recovery in road networks

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