Traffic Safety Systems based on Vehicular Networks | Using Wireless Communication and Artificial Intelligence to Reduce Road Casualties

Manuel Fogué Cortés

ISBN 10: 3659352012 / ISBN 13: 9783659352010

Published by LAP LAMBERT Academic Publishing, 2013

About this Item

Traffic Safety Systems based on Vehicular Networks | Using Wireless Communication and Artificial Intelligence to Reduce Road Casualties | Manuel Fogué Cortés | Taschenbuch | 216 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659352010 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 105964216

Bibliographic Details

• Title: Traffic Safety Systems based on Vehicular Networks | Using Wireless Communication and Artificial Intelligence to Reduce Road Casualties
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2013
• Language: English
• ISBN 10: 3659352012
• ISBN 13: 9783659352010
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 14D millimeters 220 millimeters width by 150 millimeters height by 14 millimeters depth
• Weight: 340 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

The integration of telecommunication technologies into the automotive industry will change the way we travel today. The different vehicles on the road will be able to exchange information through Vehicular Ad Hoc Networks (VANETs), opening a new world of possibilities. This work focuses on improving traffic safety using this novel technology. The assessment of techniques for vehicular networks involves high cost and complexity, and hence simulation has become a widely used research tool. We developed a framework that uses mobility scenarios in real cities to simulate the communication between vehicles, allowing the development of efficient protocols for warning message dissemination in urban environments. These algorithms are part of a broader architecture, called e-NOTIFY, which is able to detect traffic accidents and inform the emergency services. To achieve a full automation of this process, Artificial Intelligence techniques are used to estimate the severity of the accident and determine the optimal set of resources for the rescue operation. The development and evaluation of a prototype proved the feasibility of the system, and how it could help to reduce road casualties.

About the Author

Manuel Fogue is an assistant researcher in the University of Zaragoza (Spain). He received his Ph.D. degree in Computer Engineering from the University of Zaragoza in 2012. His research interests include Intelligent Transportation Systems (ITS), traffic safety, vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications.