RT Journal Article
T1 Design, Modelling, and Implementation of a Fuzzy Controller for an Intelligent Road Signaling System
A1 Lozano Domínguez, José Manuel
A1 Mateo Sanguino, Tomás Jesús
AB Crossing points are not always 100% visible for drivers due to different factors (e.g., poor road maintenance, occlusion of verticalsigns, and adverse weather conditions). USA estimated in 2015 the number of traffic accidents involving pedestrians and vehiclesin 70,000 of whom 5,376 resulted in deceased people. To contribute in this field, this paper presents the design, implementation,and testing of a smart prototype system applied to pedestrian crossings—not regulated by semaphores—which try to reduce theaccident rate on roads. The hardware and software system consists of a set of autonomous, intelligent, and wireless low-cost devicesthat generate a visual warning barrier perceived by drivers from a suitable distance when pedestrians traverse a crosswalk. In thisway, drivers can reduce the speed of their vehicles and stop safely.The system’s intelligence is carried out by a fuzzy controller thatperforms sensory fusion at both low level and high level with various types of sensors from local and neighboring devices. Thetests conducted have determined an average success of 94.64% and a precision of 100%, thus corresponding with a very good testaccording to a ROC analysis. As a result, the system proposed has been patented and extended to international PCT.
PB Hindawi Publishing Corporation
SN 1076-2787
YR 2018
FD 2018-03
LK http://hdl.handle.net/10272/16163
UL http://hdl.handle.net/10272/16163
LA eng
NO Lozano Domínguez, J. M., & Mateo Sanguino, T. de J. (2018). Design, Modelling, and Implementation of a Fuzzy Controller for an Intelligent Road Signaling System. Complexity, 2018, 1–14. DOI: https://doi.org/10.1155/2018/1849527
DS Repositorio Institucional de la Universidad de Huelva
RD 14 jul 2026