A fuzzy aid rear-end collision warning/avoidance system

Abstract : To decrease traffic accidents is a declared target of Intelligent Transportation Systems (ITS). Among them, rear-end collisions are one of the most common and constitute one of the as yet unsolved topics in the automotive sector. This paper presents an approach to the avoidance of rear-end collisions in congested traffic situations. To this end, two fuzzy controllers, a Collision Warning System (CWS) and a Collision Avoidance System (CAS), have been developed. The former is in charge of alerting the driver in case of an impending rear-end collision to prevent or mitigate the crash. The latter is in charge of generating an output control signal for the steering wheel in order to avoid the collision. Both CWS and CAS have been tested with real cars using vehicle-to-infrastructure (V2I) communications to acquire data of vehicles. A system installed in the infrastructure capable of assessing road traffic conditions in real time is responsible for transmitting the data of the vehicles in the surrounding area. The systems have been tested at the Center for Automation and Robotics (CAR)'s facilities with two mass-produced cars.
Type de document :
Article dans une revue
Expert Systems with Applications, Elsevier, 2012
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https://hal.inria.fr/hal-00741402
Contributeur : Joshué Pérez Rastelli <>
Soumis le : vendredi 12 octobre 2012 - 14:56:15
Dernière modification le : vendredi 25 mai 2018 - 12:02:03

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  • HAL Id : hal-00741402, version 1

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Vicente Milanés, Joshué Pérez Rastelli, Jorge Godoy, Enrique Onieva. A fuzzy aid rear-end collision warning/avoidance system. Expert Systems with Applications, Elsevier, 2012. 〈hal-00741402〉

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