publication . Article . 2015

Controlling traffic flow in multilane-isolated intersection using anfis approach techniques

Lai, G. R.; Che Soh, A.; Sarkan, H. M.; Abdul Rahman, R. Z.; IR. DR. MOHD KHAIR HASSAN;
Open Access
  • Published: 01 Aug 2015
Abstract
Many controllers have applied the Adaptive Neural-Fuzzy Inference System (ANFIS) concept for optimizing the controller performance. However, there are less traffic signal controllers developed using the ANFIS concept. ANFIS traffic signal controller with its fuzzy rule base and its ability to learn from a set of sample data could improve the performance of Existing traffic signal controlling system to reduce traffic congestions at most of the busy traffic intersections in city such as Kuala Lumpur, Malaysia. The aim of this research is to develop an ANFIS traffic signals controller for multilane-isolated four approaches intersections in order to ease traffic con...
Subjects
free text keywords: ANFIS controller, Green phase module, Next phase module, Multilane- isolated intersection, lcsh:Engineering (General). Civil engineering (General), lcsh:TA1-2040, lcsh:Technology (General), lcsh:T1-995
26 references, page 1 of 2

2. Favilla, J.; Machion, A.; and Gomide, F. (1993). Fuzzy traffic control: adaptive strategies. Proceedings book of the 2nd IEEE International Conference on Fuzzy Systems, 505-511.

3. Kim, S. (1994). Applications of petri networks and fuzzy logic to advanced traffic management systems. Ph.D. Thesis, Polytechnic University. New York, USA.

4. Trabia, M.B.; Kaseko, M.S.; and Ande, M. (1999) .A Two-stage fuzzy logic controller for traffic signals. Transportation Research Part C: Emerging Technologies, 7(6), 353-367.

5. Tan, K.K.; Khalid, M.; and Yusof, R. (1996). Intelligent traffic lights control by fuzzy logic. Malaysian Journal of Computer Science, 9(2), 29-35.

6. Zhang, L.; Li, H.; and Prevedouros, P.D. (2005). Signal control for oversaturated intersections using fuzzy logic. Technical Report. The 84th TRB Annual Meeting, National Research Council, Washington D.C.

7. Kulkarni, G.H; and Waingankar, P.G. (2007). Fuzzy logic based traffic light controllerProceedings book of Second International Conference on Industrial and Information Systems, ICIIS 2007, 107-110.

8. Stotsko, Z.; Fornalchyk, Y.; and Mohyla, I. (2013). Simulation of signalized intersection functioning with fuzzy control algorithm. Transport Problems, 8(1), 5-16. [OpenAIRE]

9. Alam, J.; and Pandey, M.K. (2014), Advance traffic light system based on congestion estimation using fuzzy logic. International Journal of Emerging Technology and Advanced Engineering, 4(3), 870-877.

10. Zade, A.R.; and Dandekar, D.R. (2012). Simulation of adaptive traffic signal controller in MATLAB simulink based on fuzzy inference system. National Conference on Innovative Paradigms in Engineering & Technology (NCIPET-2012), 9-13.

11. Akbas, A.; Topuz, V.; Celik, H.H.; and Ergun, M. (2003). Fuzzy signal controller for critical intersections in Istanbul .Proceedings book of 19th Dresden Conference on Traffic and Transportation Science.

12. Beauchamp-Baez, G.; Rodriguez-Morales, E.; and Muniz-Marrero, E. (1997). A fuzzy logic based phase controller for traffic control. Proceedings book of The Sixth IEEE International Conference on Fuzzy Systems, 1533-1539.

13. Murat, Y.S.; and Gedizlioglu, E. (2005). A fuzzy logic multi-phased signal control model for isolated junctions. Transportation Research Part C: Emerging Technologies, 13(1), 19-36. [OpenAIRE]

14. Wei, H.; Yong W.; Xuanqin, M.; and Yan, W. (2001). A cooperative fuzzy control method for traffic lights. Proceedings book of 2001 IEEE Intelligent Transportation Systems Conference, 185-188.

15. Dotoli, M.; and Fanti, M.P. (2006). An urban traffic network model via coloured timed petri nets. Control Engineering Practice, 14 (2006), 1213-1229.

16. Liu, Z.-Y.; Zhu, J.; Li, X.-P.; and Yin, Z.-Q.(1999). A multi-phase fuzzy control method used for single intersection. Information and Control, 28(6), 453-458.

26 references, page 1 of 2
Any information missing or wrong?Report an Issue