Fuzzy logic techniques for Cybercars: a control and decision approach.
Résumé
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.
Domaines
Intelligence artificielle [cs.AI]
Origine : Fichiers produits par l'(les) auteur(s)
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