Modeling of vehicle delays at signalized intersection with an adaptive neuro-fuzzy (ANFIS)

An adaptive neuro-fuzzy inference based delay estimation system is proposed. The system is compared with other delay estimation models, and tested through simulation and observation values. Rules, fuzzification and inference are modeled by neuro-fuzzy. Hybrid algorithm has been used for training and tests. The rule base of the delay estimation system is constructed either following a mathematical model or from real-time traffic operational data. This study has shown that adaptive neuro-fuzzy technique, a method to predict vehicle delays at signalized junctions, can be successfully applied to modeling of traffic systems.

[1]  Bart Kosko,et al.  Fuzzy Engineering , 1996 .

[2]  Jyh-Shing Roger Jang,et al.  ANFIS: adaptive-network-based fuzzy inference system , 1993, IEEE Trans. Syst. Man Cybern..

[3]  Darcy M. Bullock,et al.  MEASURING CONTROL DELAY AT SIGNALIZED INTERSECTIONS , 1999 .

[4]  R. J. Salter,et al.  Highway Traffic Analysis and Design , 1974 .

[5]  Rahim F Benekohal,et al.  PROCEDURE FOR VALIDATION OF MICROSCOPIC TRAFFIC FLOW SIMULATION MODELS , 1991 .

[6]  I. Catling.  A TIME-DEPENDENT APPROACH TO JUNCTION DELAYS , 1977 .

[7]  E. Mamdani,et al.  FUZZY LOGIC CONTROLLER FOR A TRAFFIC JUNCTION , 1977 .

[8]  Philip D. Wasserman,et al.  Advanced methods in neural computing , 1993, VNR computer library.

[9]  W R Reilly,et al.  A TECHNIQUE FOR MEASUREMENT OF DELAY AT INTERSECTIONS. VOLUME 3. USER'S MANUAL , 1976 .

[10]  K. Shida,et al.  Self-learning fuzzy controller , 1992, Proceedings of the 1992 International Conference on Industrial Electronics, Control, Instrumentation, and Automation.

[11]  Abdulsamet Hasiloglu,et al.  Adaptive neuro-fuzzy modeling of transient heat transfer in circular duct air flow , 2004 .

[12]  Anthony Tzes,et al.  Expert fuzzy logic traffic signal control for transportation networks. , 1995 .

[13]  Chin-Teng Lin,et al.  Neural-Network-Based Fuzzy Logic Control and Decision System , 1991, IEEE Trans. Computers.

[14]  Dimitar P. Filev,et al.  Fuzzy SETS AND FUZZY LOGIC , 1996 .

[15]  F. Webster.  TRAFFIC SIGNAL SETTINGS , 1958 .

[16]  L. Zadeh.  Fuzzy sets as a basis for a theory of possibility , 1999 .

[17]  Daniel Sbarbaro,et al.  Neural Networks for Nonlinear Internal Model Control , 1991 .

[18]  Shuo-Huan Hsu,et al.  A self-learning fuzzy controller , 1992, [1992 Proceedings] IEEE International Conference on Fuzzy Systems.

[19]  Hai Yang,et al.  Fuzzy logic based intersection delay estimation , 2002 .