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Preprints of the Keldysh Institute of Applied Mathematics, 2017, 136, 14 pp.
DOI: https://doi.org/10.20948/prepr-2017-136
(Mi ipmp2352)
 

This article is cited in 5 scientific papers (total in 5 papers)

New lane changing algorithms for microscopic model of traffic flows based on cellular automata theory

A. A. Chechina
Full-text PDF (545 kB) Citations (5)
References:
Abstract: New “cooperative driver” algorithm for mathematical model of traffic flows, based on cellular automata theory, is presented in the preprint. Algorithm allows to depict cooperation between drivers, if an obstacle, such as, for instance, a road bottleneck, appears on the road. In this case, under certain circumstances, drivers from the free lane can give way to the drivers from the lane with an obstacle. Different decision-making strategies about changing lanes are shown.
Computational results of test calculations for different types of obstacles, as well as the comparison with computations carried out without “cooperative driver” algorithm, are adduced.
Keywords: vehicular traffic flows, microscopic approach, cellular automata.
Funding agency Grant number
Russian Foundation for Basic Research 16-01-00347_à
16-31-00087_ìîë_à
Document Type: Preprint
Language: Russian
Citation: A. A. Chechina, “New lane changing algorithms for microscopic model of traffic flows based on cellular automata theory”, Keldysh Institute preprints, 2017, 136, 14 pp.
Citation in format AMSBIB
\Bibitem{Che17}
\by A.~A.~Chechina
\paper New lane changing algorithms for microscopic model of traffic flows based on cellular automata theory
\jour Keldysh Institute preprints
\yr 2017
\papernumber 136
\totalpages 14
\mathnet{http://mi.mathnet.ru/ipmp2352}
\crossref{https://doi.org/10.20948/prepr-2017-136}
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  • https://www.mathnet.ru/eng/ipmp/y2017/p136
  • This publication is cited in the following 5 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Ïðåïðèíòû Èíñòèòóòà ïðèêëàäíîé ìàòåìàòèêè èì. Ì. Â. Êåëäûøà ÐÀÍ
    Statistics & downloads:
    Abstract page:122
    Full-text PDF :187
    References:17
     
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