Abstract
A new approach to a microscopic traffic flow simulation is presented. The approach is based on application of data mining techniques. Key moments of constructing process are considered and main advantages in comparison with classical models are provided.
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References
Chekhovich Y.V.(2010) About identification of simulation models of difficult socially-technical systems by means of the aggregated data. Internationalization of processing of the information: 8th international conference. Republic Cyprus, Pathos, 17-24th oct, 2010: Collection of reports, MAX press. pp. 539–540.
Chekhovich Y.V.(2007) Application of algebraic approach to imitation modeling of complex socially-technical systems. Collection of reports of the third All-Russia scientifically-practical conference Imitating modeling. Theory and practice, St. Petersburg, Volume I, pp. 249–252.
Gasnikov A.V., Klenov S.L., Nurminsky E.A., Holodov Y. (2010) Introduction into mathematical modelling of transport streams. The manual: MIPT, Moscow
Hastie T., Tibshirani R., Friedman J. (2001) The Elements of Statistical Learning. Springer.
Chandler R., Herman R. and Montroll (1958) Traffic dynamics: Studies in car following. Operations Research 6, pp. 165–184.
Gazis D., Herman R. and Potts B.(1959) Car following theory of steady-state traffic flow. Operations Research 7, pp. 499–505.
Gazis D., Herman R. and Rothery R.(1961) Non-linear follow-the-leader models of traffic flow. Operations Research 9, pp. 545–567.
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Chekhovich, Y.V., Ivkin, N.P. (2013). Classification Approach to Traffic Flow Simulation. In: Kozlov, V., Buslaev, A., Bugaev, A., Yashina, M., Schadschneider, A., Schreckenberg, M. (eds) Traffic and Granular Flow '11. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39669-4_8
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DOI: https://doi.org/10.1007/978-3-642-39669-4_8
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Online ISBN: 978-3-642-39669-4
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