Access the full text.
Sign up today, get DeepDyve free for 14 days.
Holger Prothmann, F. Rochner, Sven Tomforde, J. Branke, C. Müller-Schloer, H. Schmeck (2008)
Organic Control of Traffic Lights
A. Bazzan (2005)
A Distributed Approach for Coordination of Traffic Signal AgentsAutonomous Agents and Multi-Agent Systems, 10
A. Sims, K. Dobinson (1980)
The Sydney coordinated adaptive traffic (SCAT) system philosophy and benefitsIEEE Transactions on Vehicular Technology, 29
黒田 孝次, 升方 充 (1984)
Highway Capacity Manual改訂の動向--テイラ-教授の講演より, 27
C. Diakaki, V. Dinopoulou, Kostas Aboudolas, M. Papageorgiou, E. Ben-Shabat, E. Seider, A. Leibov (2003)
EXTENSIONS AND NEW APPLICATIONS OF THE TRAFFIC SIGNAL CONTROL STRATEGY TUC
Stewart Wilson (1995)
Classifier Fitness Based on AccuracyEvolutionary Computation, 3
J. Branke, M. Mnif, C. Müller-Schloer, Holger Prothmann, Urban Richter, F. Rochner, H. Schmeck (2006)
Organic Computing – Addressing Complexity by Controlled Self-OrganizationSecond International Symposium on Leveraging Applications of Formal Methods, Verification and Validation (isola 2006)
(2008)
VS-Plus Webpage. Available at: http://www.vs-plus
H. Schmeck (2005)
Organic Computing - A New Vision for Distributed Embedded Systems
D. Robertson, R. Bretherton (1991)
Optimizing networks of traffic signals in real time-the SCOOT methodIEEE Transactions on Vehicular Technology, 40
D. Schrank, T. Lomax (2002)
THE 2004 URBAN MOBILITY REPORT
D. Helbing, Stefan Lammer, J. Lebacque (2005)
Self-organized control of irregular or perturbed network traffic; Optimal Control and Dynamic Games
C. Diakaki, V. Dinopoulou, Kostas Aboudolas, M. Papageorgiou, E. Ben-Shabat, E. Seider, A. Leibov (2003)
Extensions and New Applications of the Traffic-Responsive Urban Control Strategy: Coordinated Signal Control for Urban NetworksTransportation Research Record, 1856
Martin Butz (2006)
Rule-Based Evolutionary Online Learning Systems - A Principled Approach to LCS Analysis and Design, 191
A. Stevanovic, P. Martin, J. Stevanovic (2007)
VisSim-Based Genetic Algorithm Optimization of Signal TimingsTransportation Research Record, 2035
J. Branke, Peter Goldate, Holger Prothmann (2007)
ACTUATED TRAFFIC SIGNAL OPTIMIZATION USING EVOLUTIONARY ALGORITHMS
J. Kephart, D. Chess (2003)
The Vision of Autonomic ComputingComputer, 36
J. Barceló, E. Codina, J. Casas, J. Ferrer, D. García (2005)
Microscopic traffic simulation: A tool for the design, analysis and evaluation of intelligent transport systemsJournal of Intelligent and Robotic Systems, 41
Dazhi Sun, R. Benekohal, S. Waller (2003)
Multiobjective traffic signal timing optimization using non-dominated sorting genetic algorithmIEEE IV2003 Intelligent Vehicles Symposium. Proceedings (Cat. No.03TH8683)
E. Chang (1982)
Echo Algorithms: Depth Parallel Operations on General GraphsIEEE Transactions on Software Engineering, SE-8
(2008)
TRAVOLUTION – adaptive urban traffic signal control with an evolutionary algorithm
Dazhi Sun, R. Benekohal, S. Waller (2003)
Multi-objective Traffic Signal Timing Optimization Using Non-dominated Sorting Genetic Algorithm II
(2007)
Design and control of self-organizing systems', PhD Thesis
Sven Tomforde, Holger Prothmann, F. Rochner, J. Branke, J. Hähner, C. Müller-Schloer, H. Schmeck (2008)
Decentralised Progressive Signal Systems for Organic Traffic Control2008 Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems
(2003)
NEMA Standards Publication TS 2-2003 v02.06 – Traffic Controller Assemblies with NTCIP Requirements
C. Gershenson (2007)
Design and Control of Self-organizing Systems
In recent years, autonomic and organic computing have become areas of active research in the informatics community. Both initiatives aim at handling the growing complexity in technical systems by focusing on adaptation and self-optimisation capabilities. A promising application for organic concepts is the control of road traffic signals in urban areas. This article presents an organic approach to traffic light control in urban areas that exhibits adaptation and learning capabilities, allowing traffic lights to autonomously react on changing traffic conditions. A coordination mechanism for neighbouring traffic lights is presented that relies solely on locally available traffic data and communication among neighbouring intersections, resulting in a distributed and self-organising traffic system for urban areas. The organic system's efficiency is demonstrated in a simulation-based evaluation.
International Journal of Autonomous and Adaptive Communications Systems – Inderscience Publishers
Published: Jan 1, 2009
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.