Review of the fuzzy logic based approach in traffic signal control: prospects in saudi arabia

Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/ Journal of Transportation Systems Engineering and Information Technology

Volumn 9, Issue 5, 2009, Pages 58-70

  Syed Masiur, Rahman ^a   Nedal, T Ratrout ^a  

^a KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS   (Saudi Arabia)

Author keywords

Fuzzy logic; Heavy traffic volume; Traffic signal control

Indexed keywords

ADAPTIVE CONTROLLERS; ADAPTIVE TRAFFIC SIGNAL CONTROL; DECISION MAKING PROCESS; FURTHER DEVELOPMENT; FUZZY LOGIC APPROACH; FUZZY LOGIC BASED APPROACH; FUZZY LOGIC CONTROLLERS; HEAVY TRAFFICS; LOCAL CONDITIONS; PHASE SEQUENCE; SAUDI ARABIA; TIME DETERMINATION; TIME EXTENSIONS; TRAFFIC SIGNAL CONTROL; TRAFFIC VOLUMES; TRANSPORTATION MANAGEMENT SYSTEMS;

ADAPTIVE CONTROL SYSTEMS; CONTROLLERS; DEVELOPING COUNTRIES; ELECTROPLATING SHOPS; ENGINEERING EXHIBITIONS; FUNCTIONAL ELECTRIC STIMULATION; FUZZY LOGIC; FUZZY SETS; INTERSECTIONS; STREET TRAFFIC CONTROL; TRAFFIC CONGESTION;

TRAFFIC SIGNALS;

EID: 72449169003     PISSN: 10096744     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (55)

1. Zadeh L A, Fuzzy sets. Information and Control [ J ]. 1965, 8(3): 338-353.
2. Hellmann M. Fuzzy logic introduction[ D]. Universite de Rennes, France, 2001.
3. Zadeh L A. Making computers think like people [J]. IEEE Spectrum, 1984, 21(9) : 26-32.
4. Hoogendoorn S, Hoogendoorn - Lanser S, Schuurman H. Fuzzy Perspectives in Traffic Engineering[ M ]. Workshop on Intelligent Traffic Management Models, Delft, 1999.
5. Sayers T M, Bell M G H, Mieden T, et al. Improving the traffic responsiveness of signal controllers using fuzzy logic [J]. IEE Colloquium on Urban Congestion Management ,1995.
6. Sayers T M, Bell M G H, Mieden T, Busch F. Traffic responsive signal control using fuzzy logic-a practical modular approach [ C ]//Proceedings of the 4th European Congress on. Intelligent Techniques and Soft Computing, 1996: 2159-2163.
7. Pappis C, Mamdani E. A fuzzy logic controller for a traffic junction[ J]. IEEE Trans. Systems, Man, and Cybernetics SMC-7, 1977, 7(10): 707-717.
8. Teodorovic D. Fuzzy logic systems for transportation-engineering: the state of the art [ J ]. Transp. Res. Part A, 1999, 33, 337-364.
9. Nakatsuyama M, Nagahashi H, Nishizuka N. Fuzzy logic phase controller for traffic junctions in the one -way arterial road [ C ]//Proc. , IFAC 9th Triennial World Cong. , Budapest, Hungary, 1984: 2865-2870.
10. Sugeno M, Nishida M. Fuzzy control of model car, Fuzzy Sets and Systems 1985, 16 : 103-113.
11. Sasaki T, Akiyama T. Development of fuzzy traffic control system on urban expressway [ C ]. 5 th IFAC/ IFIP/IFORS Int. Conf. Transp. Systems, Vienna, 1986: 333-338.
12. Sasaki T, Akiyama T. Fuzzy on - ramp control model on urban expressway and its extension [ C ]. Transportation and Traffic Theory, Gartner N H, Wilson N H M (Eds. ) , Elsevier Science, New York, 1987 : 377-395.
13. Sasaki T, Akiyama T. Traffic control process of expressway by fuzzy logic [ J ]. Fuzzy Sets and Systems 1988, 26: 165-178.
14. Zhang L, Li H, Prevedouros P D. Signal control for oversaturated intersections using fuzzy logic [ C ] // Proc. of 84th Transp. Res. Bd. Ann. Mtg. , Washington, D. C. , 2005.
15. Niittymaki J, Nevala R, Turunen E. Fuzzy traffic signal control and a new interface method-Maximal fuzzy similarity [C]//Proc. , The 13th Mini - EURO Conf. ( Handling Uncertainty in the Analysis of Traffic and Transportation Systems) and the 9th Mtg. EURO Working Group on Transportation (Intermodality, Sus-tainability and Intelligent Transportation Systems, Bari, Italy, 2002-. 716-728.
16. Tarnoff P J, Parsonson P S. Selecting Traffic Signal Control at Individual Intersections[ R ]. NCHRP Rpt. 233, TRB, National Research Council, Washington, D.C. , 1981.
17. Kelsey R, Bisset K, Jamshidi M. A simulation environment for fuzzy control of traffic systems, 12th IFAC -World Cong. , Sydney, Australia, July 1993.
18. Hoyer R, Jumar U. Fuzzy control of traffic lights [C]//Proc. , IEEE Int. Conf. Fuzzy Systems, Orlando, Florida, 1994, 3: 1526-1531.
19. Chiu S. Adaptive traffic signal control using fuzzy logic [C]//Proc. , The Intelligent Vehicles 92 Symp. , Rockwell International Science Center, 1992.
20. Tan K K, Khalid M, Yusof R. Intelligent traffic lights control by fuzzy logic [ J ]. Malaysian Journal of Computer Science, 1996, 9(2) : 29-35.
21. Lee J H, Lee K M, Lee-Kwang H. Fuzzy controller for intersection group[ C]//Proc. , Int. IEEE/IAS Conf. Industrial Automation and Control: Emerging Technologies, Taipei, Taiwan, May 1995 : 376-382.
22. Beauchamp-Baez G, Rodriguez-Morales E, Muniz -Marrero E. A fuzzy logic based phase controller for traffic control[C]//Proc. , The Sixth IEEE Int. Conf. Fuzzy Systems, 1997: 1533-1539.
23. Niittymaki J, Kikuchi S. Application of fuzzy logic to the control of a pedestrian crossing signal [ J ]. J. Transp. Res. Bd. , 1651, 1998: 30-38.
24. Anderson J, Sayers T, Bell M. The objectives of traffic signal control [ J ]. Traffic Eng. Control, 1998, 39 (3) : 167-170.
25. Niittymaki J, Pursula M. Signal control using fuzzy logic, Fuzzy Sets and Systems 116 2000; 11-22.
26. Niittymaki J. General fuzzy rule base for isolated traffic signal control-Rule formulation [ J ]. Transp. Planning and Technol. , 2001 , 24: 227-247.
27. Niittymaki J. Installation and experiences of field testing a fuzzy signal controller[ J]. Eur. J. Operational Res, 2001, 131: 273-281.
28. Wei W, Zhang Y, Mbede J B, et al. Traffic signal control using fuzzy logic and MOGA [ C]//Proc. , 2001 IEEE Int. Conf. Systems, Man, and Cybernetics, Tucson, Arizona, Oct. 2001, 2: 1335-1340.
29. Hegyi A, De Schutter B , Hoogendoorn S, et al. A fuzzy decision support system for traffic control centers [C]//Proc. , The 2001 IEEE Intelligent Transportation Systems Conf. (ITSC'01) , Oakland, California, 2001: 358-363.
30. Niittymaki J, Maenpaa M. The role of fuzzy logic public transport priority in traffic signal control [ J ]. Traffic Eng. Control, 2001 , 42( 1) : 22-26.
31. Kosonen I. Multiagent fuzzy signal control based on real-time simulation[ J]. Transp. Res. Part C , 2003 , 11: 389-403.
32. Niittymaki J, Turunen E. Traffic signal control on similarity logic reasoning [ J ]. Fuzzy Sets and. Systems, 2003, 133(1) : 109-131.
33. Chiou Y, Lan L W. Adaptive traffic signal control with iterative genetic fuzzy logic controller (GFLC) [ C ] // Proc. , 2004 IEEE Int. Conf. Networking, Sensing, and Control, Taipei, Taiwan, March 2004, 1; 287-292.
34. Murat Y S, Gedizlioglu E. A new approach for fuzzy traffic signal control [ C ]//Proc. , 13th Mini - EURO Conf. Artificial Intelligence in Transportation Systems and Science, Bari, Italy, 2002.
35. Jacques M A P, Pursula M, Niittymaki J. The impact of different approximate reasoning methods on fuzzy signal controllers[ C]//Proc. , The 13th Mini - EURO Conf. ( Handling Uncertainty in the Analysis of Traffic and Transportation Systems) and the 9th Mtg. EURO Working Group on Transportation (Intermodality, Sustainability and Intelligent Transportation Systems) , Bari, Italy, 2002: 184-192.
36. Niittymaki J, Nevala R. Fuzzy adaptive traffic signal control-principles and results[ C]//Proc. , Joint 9th IFSA World Cong, and 20th NAFIS Int. Conf. , Vancouver, Canada, 2001.
37. Zhang L, Li H, Prevedouros P. Signal control for oversaturated intersections using fuzzy logic [ C ]. Transp. Res. Rec. , 84th TRB Ann. Mtg. 2005.
38. Akiyama T, Okushima M. Advanced fuzzy traffic controller for urban expressways [ J ]. Int. J. Innovative Computing, Information and Control, 2006, 2(2); 339-355.
39. Chou C H, Teng J C. A fuzzy logic controller for traffic junction signals [J]. Information Sciences 2002, 143: 73-97.
40. Zhang W B, Wu B Z, Liu W J. Anticongestion fuzzy algorithm for traffic control of a class of traffic networks [C]//Proc. , IEEE Int. Conf. Granular Computing, GRC 2007, San Jose, California, 2007: 124-128.
41. J. Kim, A fuzzy logic control simulator for adaptive traffic management[ C]// Proc. , The Sixth IEEE Int. Conf. Fuzzy Systems, Barcelona, Spain, 1997, 3: 1519-1524.
42. Chen L L, May A D, Auslander D M. Freeway ramp control using fuzzy set theory for inexact reasoning [J]. Transp. Res., Part A, 1990, 24(1): 15-25.
43. Kelsey R L, Bisset K R. Simulation of traffic flow and control using fuzzy and conventional methods [ C ]. Fuzzy Logic and Control; Software and Hardware Applications, Prentice - Hall, M. Jamshidi (Ed. ), Englewood Cliffs, NJ, 1993: 262-278.
44. Favilla J, Machion A, Gomide F. Fuzzy traffic control; adaptive strategies [ C ]//Proc. , Second IEEE Int. Conf. Fuzzy Systems, San Francisco, California, 1993, 1: 506-511.
45. Chang Y H, Shyu T H. Traffic signal installation by the expert system using fuzzy set theory for inexact reasoning [ J ]. Transp. Planning and Technol. , 1993, 17: 191-202.
46. Trabia M B, Kaseko M S, Ande M. A two - stage fuzzy logic controller for traffic signals [ J ]. Transp. Res. , Part C, 1999, 7: 353-367.
47. Niittymaki J, Kononen V. Traffic signal controller based on fuzzy logic [ C ]//Proc. , 2000 IEEE Int. Conf. Systems, Man, and Cybernetics, Nashville, Tennessee, 2000, 5: 3578-3581.
48. Bingham E. Reinforcement learning in neurofuzzy traffic signal control [ J ]. Eur. J. Operational Res. 2001, 131(2) : 232-241.
49. Murat Y S, Gedizlioglu E. A fuzzy logic multiphased signal control model for isolated junctions [ J ]. Transp. Res. Part C; Emerging Technologies, 2005, 13(1): 19-36.
50. Cho Y I, Kang S. Weighted CRI method for fuzzy controller[ C]//Proc. , Third Int. Conf. Intelligent Computing, ICIC 2007, Qingdao, China, 2007: 670-679.
51. Hu Y, Thomas P, Stonier R J. Traffic signal control u-sing fuzzy logic and evolutionary algorithms [ C ] // Proc. , IEEE Cong. Evolutionary Computation, CEC 2007, Singapore, 2007, 1785-1792.
52. Zeng R, Li G, Lin L. Adaptive traffic signals control by using fuzzy logic [ C ]//Proc. , The Second Int. Conf. Innovative Computing, Information and Control, Kumamoto, Japan, 2007.
53. Dincer I M M, Hussain M M, Al - Zaharnah I. Energy and exergy utilization in transportation sector of Saudi Arabia[J]. Appl. Thermal Eng. ,2004, 24(4) : 525-538.
54. Olba M A A. Evaluating adequacy of traffic optimization models under local traffic conditions [ D ]. King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia, 2007.
55. Ratrout N T, Olba M A A. Adequacy of TRANSYT -7F and Synchro models along a major arterial in Saudi Arabia[J]. Can. J. Civ. Eng. 2009, 36(1): 95-102.