Abstract
Automate driving is enhancing the driving performance and reducing the crash risks. The presentation illustrates a new method for the management of the traffic flow on highways, based on the constant time to collision criterion. This criterion is addressing the car fallowing issue and it offers a speed adapted planner for the distance gap between cars. This method is able also to support a highway traffic flow management. The interface’s decision block is implemented by a fuzzy interpolative controller that is estimating the collision risk, taking into account the traffic intensity.
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© 2017 Springer International Publishing Switzerland
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Balas, V.E. (2017). Automatic Control of the Traffic Flow. In: Balas, V., Jain, L., Zhao, X. (eds) Information Technology and Intelligent Transportation Systems. Advances in Intelligent Systems and Computing, vol 454. Springer, Cham. https://doi.org/10.1007/978-3-319-38789-5_10
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DOI: https://doi.org/10.1007/978-3-319-38789-5_10
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Publisher Name: Springer, Cham
Print ISBN: 978-3-319-38787-1
Online ISBN: 978-3-319-38789-5
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