Intelligent network traffic control by integrating top-down and bottom-up control

2009 Chinese Control and Decision Conference, CCDC 2009

Volumn , Issue , 2009, Pages 1557-1562

  Wang, Yubin ^a,b   Vrancken, Jos ^a   Soares, Michel Dos Santos ^a  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b Trinité Automatisering B V   (Netherlands)

Author keywords

Bottom up control; Central control; Multi agent control; Road traffic control; Top down control

Indexed keywords

BOTTOM-UP CONTROL; CENTRAL CONTROL; MULTI-AGENT CONTROL; ROAD TRAFFIC CONTROL; TOP-DOWN CONTROL;

DISTRIBUTED PARAMETER CONTROL SYSTEMS; HIGHWAY TRAFFIC CONTROL; INTERNET; MULTI AGENT SYSTEMS; ROADS AND STREETS;

MOTOR TRANSPORTATION;

EID: 70449379574     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCDC.2009.5192222     Document Type: Conference Paper

References (17)

1. Alkmaar Brochure: Evaluation Dynamic Traffic Management. Technical report, Alkmaar Gemeente, 2003.
2. Handbook for sustainable traffic management. Technical report, Rijkswaterstaat, Rotterdam, 2003.
3. MaDAM. Technical report, Goudappel Goffeng B.V., 2006. MaDAM is a traffic simulation model.
4. J. L. Adler, G. Satapathy, V. Manikonada, B. Bowles, and V. J. Blue. A multi-agent approach to cooperative traffic management and route guidance. In Transportation Research Part B: Methodological.
5. Carlos Gershenson. Self-organizing traffic lights. Journal of Complex Systems, Volume 16(Issue 1), 2004.
6. A. Hegyi. Model Predictive Control for the Integration of Traffic Control Measures. PhD thesis, Delft Univeristy of Technology, 2004.
7. B. Immers, C. Tampere, and B. Janssens J. Stada. A multi-agent approach to dynamic traffic management. page 24p. University of Leuven, Transportation Research Board, 2008.
8. R. T. V. Katwijk. Multi-Agent Look-Ahead Traffic-Adaptive Control. PhD thesis, Delft Univeristy of Technology, 2008.
9. A. Kotsialos and M. Papagergiou. Motorway Network Traffic Control Systems. volume 152, pages 321-333. European Journal of Operational Research, January 2004.
10. O. Krüse and J. Vrancken. Architecture for distributed traffic control. Delft Univeristy of Technology, ITS World Congress, 2006.
11. H. S. Nwana and M. Heath. Software agents: An overview. In Knowledge Engineering Review, volume 11, pages 1-40. Cambridge University Press, Sept 1996.
12. A. K. Rathi. A control scheme for high traffic density sectors. Transportation Research Part B: Methodological, 22(2): 81-101, April 1988.
13. D. A. Roozemond. Using intelligent agents for pro-active, real-time urban intersection control. volume 131, pages 293-301. European Journal of Operational Research, June 2001.
14. A. S. Tanenbaum and M. V. Steen. Distributed Systems: Principles and Paradigms. Prentice Hall, 2002.
15. J. Vrancken and F. Ottenhof. A bottom-up approach to implementing sustainable traffic control. In Control in Transportation Systems, volume 11. Delft Univeristy of Technology, IFAC, 2006.
16. Y. Wang, J. Vrancken, and M. S. Soares. Road network representation using Dijkstra's shortest path algorithm. Submitted to ITS conference in Sweden 2009, Nov. 2008.
17. X. Yang and W. Recker. Simulation studies of information propagation in a self-organizing distributed traffic information system. In Transportation Research Part C: Emerging Technologies, volume 13, pages 370-390, October 2005.