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• W2095166530 abstract "We present a simple cellular automaton (CA) model for two-lane roads explaining the physics of traffic breakdown, highway capacity, and synchronized flow. The model consists of the rules ``acceleration,'' ``deceleration,'' ``randomization,'' and ``motion'' of the Nagel-Schreckenberg CA model as well as ``overacceleration through lane changing to the faster lane,'' ``comparison of vehicle gap with the synchronization gap,'' and ``speed adaptation within the synchronization gap'' of Kerner's three-phase traffic theory. We show that these few rules of the CA model can appropriately simulate fundamental empirical features of traffic breakdown and highway capacity found in traffic data measured over years in different countries, like characteristics of synchronized flow, the existence of the spontaneous and induced breakdowns at the same bottleneck, and associated probabilistic features of traffic breakdown and highway capacity. Single-vehicle data derived in model simulations show that synchronized flow first occurs and then self-maintains due to a spatiotemporal competition between speed adaptation to a slower speed of the preceding vehicle and passing of this slower vehicle. We find that the application of simple dependences of randomization probability and synchronization gap on driving situation allows us to explain the physics of moving synchronized flow patterns and the pinch effect in synchronized flow as observed in real traffic data." @default.
• W2095166530 created "2016-06-24" @default.
• W2095166530 creator A5014449031 @default.
• W2095166530 creator A5024990133 @default.
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• W2095166530 date "2011-10-21" @default.
• W2095166530 modified "2023-10-15" @default.
• W2095166530 title "Simple cellular automaton model for traffic breakdown, highway capacity, and synchronized flow" @default.
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• W2095166530 doi "https://doi.org/10.1103/physreve.84.046110" @default.
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• W2095166530 hasPublicationYear "2011" @default.
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