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Fuzzy logic techniques for Cybercars: a control and decision approach.

Abstract : In the context of Intelligent Transportation Systems (ITS) one of the aims is to reach autonomous vehicle capabilities based on human driver experiences in different situations. This problem can be treated from two points of view: by tracking a reference (curve lines -lateral control- or speed -longitudinal control-) and by the decision approach (in specific or dangerous situations). In this paper, fuzzy logic techniques have been implemented in real time control tools to translate human knowledge to driverless control processes, considering risk/warning situation. A comparison with previous works (based in classic control laws) for driving, was carried out in urban areas. Moreover, a new approach to give the driver, a reference speed when the vehicle is arriving to a traffic light intersection was developed. Some simulations show that fuzzy logic techniques are promising in the development of ITS applications.
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Contributor : Joshué Pérez Rastelli Connect in order to contact the contributor
Submitted on : Tuesday, December 3, 2013 - 11:30:34 AM
Last modification on : Friday, February 4, 2022 - 3:09:57 AM
Long-term archiving on: : Monday, March 3, 2014 - 10:45:42 PM


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  • HAL Id : hal-00913106, version 1



Michelena Oriana Rojas, Joshué Pérez Rastelli, Fawzi Nashashibi. Fuzzy logic techniques for Cybercars: a control and decision approach.. 22èmes rencontres francophones sur la Logique Floue et ses Applications (LFA 2013), Oct 2013, Reims, France. ⟨hal-00913106⟩



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