The paper introduces a method of vehicles’ stop time prediction on an intersection entrance. The method allows us applying an adaptive traffic control algorithms [1], covering the transportation network with intersections, not provided with traffic detectors or some of the detectors are not working properly. The input data is taken from the detectors set placed at  the adjacent intersections. The vehicles’ positions is assigned by means of the data fusion [2], assigning the initial position of vehicles, as a fuzzy number [3]. The simulation process combines a fuzzy cellular automaton [5, 6, 7, 8] based on the Nagel-Shreckenberg [4] model. The vehicles’ positions, length, velocity, maximal velocity and acceleration were defined differently – using fuzzy numbers. The innovation of the discussed method concerns a specific manner of vehicles’ overtaking maneuver modeling. Unlike an earlier presented models, where overtaking was not considered or was significantly simplified. The method takes into account the simulation process of traffic states on neighboring traffic lanes.

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REFERENCES

[1]       GAZIS D. C., Traffic Theory, Kluwer Academic Publishers Group, Dordrecht 2002.

[2]       LIGGINS M. E., Handbook of multisensor data fusion, CRC Press, Boca Raton 2009.

[3]       RUTKOWSKI L., Metody i techniki sztucznej inteligencji. PWN. Warszawa 2006 (in polish).

[4]       NAGEL K., SCHRECKENBERG M., A cellular automaton model for freeway traffic, J. Physique I 2, 1992, pp. 2221-2241.

[5]       P?ACZEK B., Fuzzy cellular model for traffic data fusion, Transport problems 2009 volume 4 issue 4, pp. 25-35.

[6]       GNYLA P., Prediction of vehicles position ina road network by traffic data fusion, Applications of Systems Science, Academic Publishing House EXIT, Warsaw 2010, pp. 289-295.

[7]       YONG-GANG GONG, LIN LIU, A Fuzzy Cellular Automaton Model Based On NaSchH Model. 2010 2nd International Conference on Signal Processing Systems (ICSPS)

[8]       SHAKERI M., DELDARI H., REZVANIAN A., FOROUGHI H.A Novel Fuzzy Method to Traffic Light Control Based on Unidirectional Selective Cellular Automata for Urban Traffic. Proceedings of 11th International Conference on Computer and Information Technology (ICCIT 2008), 25-27 December, 2008, Khulna, Bangladesh