Abstract
In this paper, the fuzzy system for traffic lights control and simulation in real time is presented. The main advantages of the proposed system are as follows: adaptation of the green light activity time to the conditions which occur on the given roads intersection; shorter reduction time (in relation to the other state-of-the-art fuzzy system) of vehicle numbers on the particular roads. Due to these two advantages, the road infrastructure is less congested and the traffic participants possesses the possibility of faster movement. The fuzzy system presented in this paper was tested on the traffic scenario taken from literature. The results obtained using proposed approach were compared to the results obtained using other state-of-the-art fuzzy system chosen from literature. Due to our approach, the number of vehicles in given crossroads is reduced in shorter time.
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Poletajew, B., Slowik, A. (2016). An Application of Fuzzy Logic to Traffic Lights Control and Simulation in Real Time. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2016. Lecture Notes in Computer Science(), vol 9692. Springer, Cham. https://doi.org/10.1007/978-3-319-39378-0_23
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DOI: https://doi.org/10.1007/978-3-319-39378-0_23
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