2018
DOI: 10.1016/j.physa.2017.11.158
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A model of irreversible jam formation in dense traffic

Abstract: We study an one-dimensional stochastic model of vehicular traffic on open segments of a single-lane road of finite size L. The vehicles obey a stochastic discrete-time dynamics which is a limiting case of the generalized Totally Asymmetric Simple Exclusion Process. This dynamics has been previously used by Bunzarova and Pesheva [Phys. Rev. E 95, 052105 (2017)] for an one-dimensional model of irreversible aggregation. The model was shown to have three stationary phases: a many-particle one, MP, a phase with com… Show more

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Cited by 6 publications
(10 citation statements)
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“…As expected, at p m = 1 these expressions reduce to equalities (4) in Ref. [26]. As is readily seen, in the alternative case of several coexisting gaps, the above probabilities apply exactly to the rightmost one.…”
Section: A Time Evolution Of Configuration Gapssupporting
confidence: 78%
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“…As expected, at p m = 1 these expressions reduce to equalities (4) in Ref. [26]. As is readily seen, in the alternative case of several coexisting gaps, the above probabilities apply exactly to the rightmost one.…”
Section: A Time Evolution Of Configuration Gapssupporting
confidence: 78%
“…1(b) the many-particle phase MP contains a macroscopic number of particles or on the left-hand side of it have a critical type of evolution with mean lifetime of the order O(L 1/2 ), see Ref. [26]. The phase MP+CF is mixed in the sense that the completely filled configurations are perturbed by short living gaps entering the chain from the first site.…”
Section: B Known Results In Particular Casesmentioning
confidence: 99%
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“…The model incorporates two extreme cases: the TASEP with parallel update (PU) when pm=0 is set (see, e.g., Refs [5,6]) and the case with all particles irreversibly merging (when pm=1) into a single cluster moving as an isolated particle. The latter case is that of the irreversible aggregation (IA), studied in Refs [7][8][9]. The gTASEP reduces to the extensively studied ordinary TASEP with backward ordered sequential update (BOSU) when pm=p (see, e.g., Refs [10,11]).…”
Section: Introductionmentioning
confidence: 99%