An organic architecture for traffic light controllers

INFORMATIK 2006 - Informatik fur Menschen, Beitrage der 36. Jahrestagung der Gesellschaft fur Informatik e.V. (GI)

Volumn 1, Issue , 2006, Pages 120-127

  Rochner, Fabian ^a   Prothmann, Holger ^b   Brank, Jürgen ^b   Müller Schloer, Christian ^a   Schmeck, Hartmut ^b  

^a LEIBNIZ UNIVERSITY HANNOVER   (Germany)

^b UNIVERSITY OF KARLSRUHE   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CONTROL ARCHITECTURE; CONTROL STRATEGIES; EFFICIENT CONTROL; ORGANIC COMPUTING; TRAFFIC LIGHT CONTROLLER; TRAFFIC NETWORKS; TRAFFIC NODES; TRAFFIC SITUATIONS;

COMPLEX NETWORKS;

NETWORK MANAGEMENT;

EID: 84874275234     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. M. C. Bell and R. D. Bretherton. Ageing of fixed-time traffic signal plans. In Proc. of the 2nd IEE Conf. on Road Traffic Control, 1986.
2. L. Bull, J. Sha'Aban, et al. Towards Distributed Adaptive Control for Road Traffic Junction Signals Using Learning Classifier Systems. In L. Bull, editor Applications of Learning Classifier Systems, pages 276-299. Springer, 2004.
3. J. H. Holland, L. B. Booker, et al What is a Learning Classifier System? In P. L. Lanzi, W. Stolzmann, and S. W. Wilson, editors, Learning Classifier Systems. From Foundations to Applications, Volume 1813 of LNAI, pages 3-32. Springer, 2000.
4. D. Helbing, S. Lämmer, et al Self-organized control of irregular or perturbed network traffic. In C. Deissenberg and R. F. Hartl, editors, Optimal Control and Dynamic Games, pages 239-274. Springer, 2005.
5. Traffic Controller Assemblies with NTCIP Requirements. Technical report, National Electrical Manufacturers Association, Rosslyn, Virginia, USA, 2003.
6. F. Rochner and C. Müller-Schloer. Adaptive Decentralized and Collaborative Control of Traffic Lights. In P. Dadam and M. Reichert, editors, GI Jahrestagung (2), Volume 51 of LNI, pages 595-599. GI, 2004.
7. C. Stone and L. Bull. For Real! XCS with Continuous-Valued Inputs. Evolutionary Computation, 11(3): 299-336, 2003.
8. H. Schmeck. Organic Computing - A New Vision for Distributed Embedded Systems. In Proc. of the 8th IEEE Int. Symp. on Object-Oriented Real-Time Distributed Computing, pages 201-203, 2005.
9. TSS-Transport Simulation Systems. AIMSUN NG Users Manual. Spain, 2005.
10. S. W. Wilson. Classifier Fitness Based on Accuracy. Evolutionary Computation, 3(2):149-175, 1995.
11. S. W. Wilson. Get Real! XCS with Continuous-Valued Inputs. In P. L. Lanzi, W. Stolzmann, and S. W. Wilson, editors, Learning Classifier Systems - From Foundations to Applications, Volume 1813 of LNAI, pages 209-219. Springer, 2000.
12. H. Xiao, R. Ambadipudi, et al Methodology for Selecting Microscopic Simulators: Comparative Evaluation of AIMSUN and VISSIM. Technical Report CTS 05-05, Department of Civil Engineering, Univ. of Minnesota, 2005.