Abstract
Theoretically, fuzzy control has been shown to be superior in complex problems with multi-objective decisions. Traffic signal control is a typical process, where traffic flows compete from the same time and space, and different objectives can be reached in different traffic situations. Based on recent research work, fuzzy control technology appears particularly well suited to traffic signal control situations involving multiple approaches and vehicle movements. Based on the results of our paper, we can say that the fuzzy control principles are very competitive in isolated multi-phase traffic signal control. The experiences and results of the field test and the calibration of membership functions with neural networks have been extremely promising.
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© 1999 Springer-Verlag Berlin Heidelberg
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Niittymäki, J. (1999). Using Fuzzy Logic to Control Traffic Signals at Multi-phase Intersections. In: Reusch, B. (eds) Computational Intelligence. Fuzzy Days 1999. Lecture Notes in Computer Science, vol 1625. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48774-3_41
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DOI: https://doi.org/10.1007/3-540-48774-3_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-66050-7
Online ISBN: 978-3-540-48774-6
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