Distributed geometric fuzzy multiagent urban traffic signal control

IEEE Transactions on Intelligent Transportation Systems

Volumn 11, Issue 3, 2010, Pages 714-727

  Gokulan, Balaji Parasumanna ^a   Srinivasan, Dipti ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Geometric type 2 fuzzy set; multiagent system; PARAMICS; urban traffic signal control

Indexed keywords

CENTRAL BUSINESS DISTRICTS; COMPREHENSIVE ANALYSIS; CONTROL ALGORITHMS; FUZZY INFERENCE SYSTEMS; GROWING DEMAND; HIERARCHICAL MULTI-AGENT SYSTEM; LIMITED INFORMATION; MULTI-AGENT; MULTIAGENT ARCHITECTURE; PARAMICS; ROAD NETWORK; ROAD TRAFFIC NETWORK; RULE BASE; SIGNAL CONTROL; SIGNAL CONTROL SYSTEMS; SIMULATION MODEL; SINGAPORE; TRAFFIC SIGNAL CONTROLLERS; TRAVEL TIME; TYPE-2 FUZZY SET; URBAN TRAFFIC SIGNAL CONTROL;

ALGORITHMS; COMPUTER SIMULATION; CONTROL THEORY; DELAY CONTROL SYSTEMS; FUZZY INFERENCE; FUZZY SETS; GEOMETRY; HIGHWAY TRAFFIC CONTROL; MOTOR TRANSPORTATION; MULTI AGENT SYSTEMS; ROADS AND STREETS; STREET TRAFFIC CONTROL; TRAFFIC CONGESTION;

TRAFFIC SIGNALS;

EID: 77956344775     PISSN: 15249050     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITS.2010.2050688     Document Type: Article

References (39)

1. X.-H. Yu and A. R. Stubberud, "Markovian decision control for traffic signal systems," in Proc. 36th IEEE Conf. Decision Control, San Diego, CA, Dec. 1997, vol. 5, pp. 4782-4787.
2. W. W. Recker, B. V. Ramanathan, X.-H. Yu, and M. G. McNally, "Markovian real-time adaptive control of signal systems," J. Math. Comput. Model., vol. 22, no. 4-7, pp. 355-375, Aug.-Oct. 1995.
3. F. Webster, "Traffic signal settings," Road Res. Lab., London, U.K., Road Res. Tech. Paper r39, 1958.
4. J. R. Peirce and P. J. Webb, "MOVA control of isolated traffic signalsrecent experience," in Proc. 3rd Int. Conf. Road Traffic Control, London, U.K., May 1990, pp. 110-113.
5. Vagverket, Signal Design With LHOVRA, Project Handbook.
6. P. Kronborg, F. Davidsson, and J. Edholm, "SOS-self optimizing signal control, development, and field trials of the SOS algorithm for self optimizing signal control at isolated intersections," 1997, TFK Rep.
7. C. P. Pappis and E. M. Mamdani, "A fuzzy logic controller for traffic junction," IEEE Trans. Syst., Man, Cybern., vol. SMC-7, no. 10, pp. 707-717, Oct. 1977.
8. Y. Sazi Murat and E. Gedizlioglu, "A fuzzy logic multi-phased signal control model for isolated junctions," Transp. Res. Part C, vol. 13, no. 1, pp. 19-36, Feb. 2006.
9. J. Niittymaki and E. Turunen, "Traffic signal control on similarity logic reasoning," Fuzzy Sets Syst., vol. 133, no. 1, pp. 109-131, Jan. 2003.
10. P. B. Mirchandani and N. Zou, "Queuing models for analysis of traffic adaptive signal control," IEEE Trans. Intell. Transp. Syst., vol. 8, no. 1, pp. 50-59, Mar. 2007.
11. P. B. Hunt, D. I. Robertson, R. D. Bretherton, and R. L.Winton, "SCOOT: A traffic responsive method of coordinating signals," TRRL, Crowthorne, U.K., Rep. LR1014, 1981.
12. P. R. Lowrie, "The Sydney coordinated adaptive traffic system-Principles, methodology, algorithms," in Proc. Int. Conf. Road Traffic Signal., London, U.K., Mar. 30-Apr. 1, 1982, pp. 67-70.
13. C. K. Keong, "The GLIDE system-Singapore's urban traffic control system," Transp. Rev., vol. 13, no. 4, pp. 295-305, Oct. 1993.
14. M. C. Choy, "Cooperative, hybrid multi-agent systems for distributed, real-time traffic signal control," Ph.D. dissertation, Dept. Elect. Comput. Eng., Nat. Univ. Singapore, Singapore, 2005.
15. M. Balmer, K. Nagel, and B. Raney, "Large-scale multi-agent simulations for transportation applications," J. Intell. Transp. Syst., Technol. Plan. Oper., vol. 8, no. 4, pp. 205-221, Oct. 2004.
16. I. Kosonen, "Multi-agent fuzzy signal control based on real-time simulation," Transp. Res. Part C, vol. 11, no. 5, pp. 389-403, Oct. 2003.
17. P. Mirchansani and L. Head, "A real-time traffic signal control system: Architecture, algorithms, and analysis," Transp. Res. Part C, vol. 9, no. 6, pp. 415-432, Dec. 2001.
18. F.-Y. Wang, ABCS: Agent-Based Control Systems. Tucson, AZ: Univ. Arizona, 1998.
19. F.-Y. Wang, "aDCS: Agent-Based Distributed Control Systems," Univ. Arizona, Tucson, AZ, 1999.
20. Q. Wu and F.-Y. Wang, "A mobile-agent based distributed intelligent control system architecture for home automation," in Proc. IEEE Int. Conf. Syst., Man, Cybern., Tucson, AZ, 2001, pp. 1599-1605.
21. F.-Y. Wang, "Toward a revolution in transportation operations: AI for complex systems," IEEE Intell. Syst., vol. 23, no. 6, pp. 8-13, Nov./Dec. 2008.
22. K. Dresner and P. Stone, "A multiagent approach to autonomous intersection management," J. Artif. Intell. Res., vol. 31, no. 1, pp. 591-656, Jan. 2008.
23. F.-Y. Wang, "Agent-based control for networked traffic management systems," IEEE Intell. Syst., vol. 20, no. 5, pp. 92-96, Sep. 2005.
24. R.-S. Chen, D.-K. Chen, and S.-Y. Lin, "ACTAM: Cooperative multiagent system architecture for urban traffic signal control," IEICE Trans. Inf. Syst., vol. E88-D, no. 1, pp. 119-126, Jan. 2005.
25. J. Bonneson, D. Middleton, K. Zimmermann, H. Charara, and M. Abbas, "Intelligent detection-control system for rural signalized intersections," Texas Transp. Inst., College Station, TX, Rep. FHWA/TX-03/4022-2, Aug. 2002.
26. D. Srinivasan, M. C. Choy, and R. L. Cheu, "Neural networks for realtime traffic signal control," IEEE Trans. Intell. Transp. Syst., vol. 7, no. 3, pp. 261-272, Sep. 2006.
27. H. Wu and J. M. Mendel, "Uncertainty bounds and their use in the design of interval type-2 fuzzy logic systems," IEEE Trans. Fuzzy Syst., vol. 10, no. 5, pp. 622-639, Oct. 2002.
28. Q. Liang, N. N. Karnik, and J. M. Mendel, "Connection admission control in ATM networks using survey based type-2 fuzzy logic systems," IEEE Trans. Syst., Man, Cybern. C, Appl. Rev., vol. 30, no. 3, pp. 329-339, Aug. 2000.
29. L. A. Zadeh, "The concept of linguistic variables and its application to approximate reasoning," Inf. Sci., vol. 8, pp. 199-249, 1975.
30. N. N. Karnik, J. M. Mendel, and Q. Liang, "Type-2 fuzzy logic systems," IEEE Trans. Fuzzy Syst., vol. 7, no. 6, pp. 643-658, Dec. 1999.
31. Q. Liang and J. M. Mendel, "Interval type-2 fuzzy logic systems: Theory and design," IEEE Trans. Fuzzy Syst., vol. 8, no. 5, pp. 535-550, Oct. 2000.
32. N. N. Karnik and J. M. Mendel, "Centroid of a type-2 fuzzy set," Inf. Sci., vol. 132, no. 1-4, pp. 195-220, Feb. 2001.
33. S. Coupland and R. John, "Geometric type-1 and type-2 fuzzy logic systems," IEEE Trans. Fuzzy Syst., vol. 15, no. 1, pp. 3-15, Feb. 2007.
34. S. Coupland and R. John, "New geometric inference techniques for type-2 fuzzy sets," Int. J. Approx. Reason., vol. 49, no. 1, pp. 198-211, Sep. 2008.
35. Highway Capacity Manual 2000-HCM2000, Transp. Res. Board, Nat. Res. Council, Washington, DC, 2000.
36. J. E. Clarke, "Assessing the sensibility of signal timing split optimization in addressing congestion," in Proc. Inst. Transp. Stud. Annu. Meeting Exhib., 2007, pp. 24-29.
37. J. D. Little, "A proof for the queuing formula: L = W," Oper. Res., vol. 9, no. 3, pp. 383-387, May 1961.
38. P. G. Balaji, D. Srinivasan, and C. K. Tham, "Coordination in distributed multi-agent systems using type-2 fuzzy decision systems," in Proc. FUZZIEEE, Jun. 2008, pp. 2291-2298.
39. M. C. Choy, D. Srinivasan, and R. L. Cheu, "Neural networks for continuous online learning and control," IEEE Trans. Neural Netw., vol. 17, no. 6, pp. 1511-1531, Nov. 2006.