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Godoy J.,Center for Automation and Robotics Spanish National Research Council | Milanes V.,University of California at Berkeley | Perez J.,French Institute for Research in Computer Science and Automation | Villagra J.,Center for Automation and Robotics Spanish National Research Council | Onieva E.,University of Deusto
Transportation Research Part C: Emerging Technologies | Year: 2013

Since vehicle-to-infrastructure (V2I) communications require a major initial outlay and continuous maintenance, they have been less frequently implemented than vehicle-to-vehicle (V2V) communications in applications in the field of Intelligent Transportation Systems (ITS). Nevertheless, making use of the information provided by the infrastructure - traffic signals, traffic panels, and so on - can help improve the performance of various ITS applications. The present work describes the design and implementation of a low-cost infrastructure network based on ZigBee technology to alert drivers (or even override them by using active safety systems) in the case of some unexpected circumstance on the road so that they can prepare for the appropriate handling of their vehicles. Its implementation as an auxiliary network within a larger communications scheme allows the network's load to be reduced and its performance to be improved. The proposed architecture was tested on a real car in a real scenario with quantified results for different applications. © 2013 Elsevier Ltd. Source


Milanes V.,Center for Automation and Robotics Spanish National Research Council | Perez J.,Center for Automation and Robotics Spanish National Research Council | Godoy J.,Center for Automation and Robotics Spanish National Research Council | Onieva E.,Center for Automation and Robotics Spanish National Research Council
Expert Systems with Applications | Year: 2012

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. © 2012 Elsevier Ltd. All rights reserved. Source

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