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  1. IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (CIVTS).
  2. 2011 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (CIVTS) Proceedings
  3. A system for the traffic control in signposted junctions
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2014 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (CIVTS)
2013 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (CIVTS)
2011 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (CIVTS) Proceedings
Front cover
Copyright
Table of contents
IEEE CIVTS 2011 committee Symposium on Computational Intelligence in Vehicles and Transportation Systems (IEEE CIVTS 2011)
Overview of CI research in automotive ITS
A redundancy-based approach for visual navigation with collision avoidance
Grid-based visual terrain classification for outdoor robots using local features
Design of a toy submarine using underwater vehicle design optimization framework
Fuzzy linguistic reporting in driving simulators
Improvement of the road traffic management by an ant-hierarchical fuzzy system
The role of data choice in data driven identification for online emission models
A system for the traffic control in signposted junctions
Conceptual design of a driving habit recognition framework
Context-based estimation of driver intent at road intersections
Batch reinforcement learning for optimizing longitudinal driving assistance strategies
Real time vehicle speed predition using gas-kinetic traffic modeling
Contextual on-board learning and prediction of vehicle destinations
Author index

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A system for the traffic control in signposted junctions

Content Provider IEEE Xplore Digital Library
Author Elkosantini, S. Mnif, S. Chabchoub, H.
Copyright Year 2011
Description Author affiliation: L.O.G.I.Q research group, Higher Institute of Computer Science of Mahdia, Tunisia (Elkosantini, S.) || G.I.A.D. research group, University of Sfax, Tunisia (Chabchoub, H.) || L.O.G.I.Q research group, University of Sfax, Tunisia (Mnif, S.)
Abstract The traffic congestion has become a serious problem in a city. The traffic congestion had important consequences in terms of social, economic and environmental preoccupations. For this reason, several ITS was proposed and their role is to manage the existing highway, public transportation and railroad infrastructure to ease congestion and respond to crises. Developer of such system seek to have a system that insure a safer and more convenient travel for people. In this paper, we propose a system for junctions traffic lights control based on case based reasoning (CBR) approach and fuzzy sets theory. In fact, the CBR is always considered as a cyclic paradigm of Artificial Intelligence and that is used to learning and problem solving based on past experience. The developed system is tested with on a virtual junction and the obtained results are discussed.
Starting Page 52
Ending Page 58
File Size 318903
Page Count 7
File Format PDF
ISBN 9781424499755
e-ISBN 9781424499762
DOI 10.1109/CIVTS.2011.5949528
Language English
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date 2011-04-11
Publisher Place France
Access Restriction Subscribed
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword Decision support systems Roads Cognition Junctions Vehicles Pragmatics
Content Type Text
Resource Type Article
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