Asian Journal of Information Technology

Year: 2016
Volume: 15
Issue: 15
Page No. 2564 - 2570

Hardware-in-the-Loop Simulation Development for Real Time Adjustment of Traffic Control System

Authors : MuhammadRidwan Andi Purnomo

References

Bingham, E., 2001. Reinforcement learning in neurofuzzy traffic signal control. Eur. J. Operat. Res., 131: 232-241.
CrossRef  |  Direct Link  |  

Chao, K.H., R.H. Lee and M.H. Wang, 2008. An Intelligent Traffic Light Control Based on Extension Neural Network. In: Knowledge-based Intelligent Information and Engineering Systems, Lovrek, I., R.J. Howlett and L.C. Jain (Eds.). Springer, Berlin, Germany, ISBN: 978-3-540-85562-0, pp: 17-24.

Chu, L., L.B. Chao, Y. Ou and W.B. Lu, 2012. Hardware-in-the-loop simulation of traction control algorithm based on fuzzy PID. Energy Procedia, 16: 1685-1692.
CrossRef  |  Direct Link  |  

El-Nagar, A.M. and M. El-Bardini, 2014. Interval type-2 fuzzy neural network controller for a multivariable anesthesia system based on a hardware-in-the-loop simulation. Artif. Intell. Med., 61: 1-10.
CrossRef  |  Direct Link  |  

Gietelink, O.J., J. Ploeg, B. de Schutter and M. Verhaegen, 2009. Development of a driver information and warning system with vehicle hardware-in-the-loop simulations. Mechatronics, 19: 1091-1104.
CrossRef  |  Direct Link  |  

Hasnan, K.B., L.B. Saesar and T. Herawan, 2012. A hardware-in-the-loop simulation and test for unmanned ground vehicle on indoor environment. Procedia Eng., 29: 3904-3908.
CrossRef  |  Direct Link  |  

Hooshyar, H., F. Mahmood, L. Vanfretti and M. Baudette, 2015. Specification, implementation and hardware-in-the-loop real-time simulation of an active distribution grid. Sustain. Energy Grids Networks, 3: 36-51.
CrossRef  |  Direct Link  |  

Jung, J.H., 2015. Power Hardware-in-the-Loop Simulation (PHILS) of photovoltaic power generation using real-time simulation techniques and power interfaces. J. Power Sources, 285: 137-145.
CrossRef  |  Direct Link  |  

Lin, C.F., C.Y. Tseng and T.W. Tseng, 2006. A hardware-in-the-loop dynamics simulator for motorcycle rapid controller prototyping. Control Eng. Pract., 14: 1467-1476.
CrossRef  |  Direct Link  |  

Mancisidor, I., X. Beudaert, A. Etxebarria, R. Barcena, J. Munoa and J. Jugo, 2015. Hardware-in-the-loop simulator for stability study in orthogonal cutting. Control Eng. Pract., 44: 31-44.
CrossRef  |  Direct Link  |  

McShane, W.R., R.P. Roess and E.S. Prassas, 1998. Traffic Engineering. Prentice Hall Inc., New Jersey, USA.

Nagare, A. and S. Bhatia, 2012. Traffic flow control using neural network. Int. J. Applied Inform. Syst., 1: 50-52.
Direct Link  |  

Niittymaki, J. and M. Pursula, 2000. Signal control using fuzzy logic. Fuzzy Sets Syst., 116: 11-22.
CrossRef  |  Direct Link  |  

Oda, T., T. Otokita, K. Iwaoka and K. Kurata, 2003. Meta-heuristic optimization of signal control and sub-area decomposition in traffic control systems. Proceedings of the 10th World Congress and Exhibition on Intelligent Transport Systems and Services, November 16-20, 2003, Madrid, Spain -.

Petersheim, M.D. and S.N. Brennan, 2009. Scaling of hybrid-electric vehicle powertrain components for hardware-in-the-loop simulation. Mechatronics, 19: 1078-1090.
CrossRef  |  Direct Link  |  

Pugi, L., E. Galardi, C. Carcasci, A. Rindi and N. Lucchesi, 2015. Preliminary design and validation of a Real Time model for hardware in the loop testing of bypass valve actuation system. Energy Convers. Manage., 92: 366-384.
CrossRef  |  Direct Link  |  

Rhee, K.N., M.S. Yeo and K.W. Kim, 2011. Evaluation of the control performance of hydronic radiant heating systems based on the emulation using hardware-in-the-loop simulation. Build. Environ., 46: 2012-2022.
CrossRef  |  Direct Link  |  

Singh, V.P., 2009. System Modeling and Simulation. New Age International, New Delhi, India, ISBN-13: 9788122423860, Pages: 260.

Taale, H., 2000. Optimising traffic signal control with evolutionary algorithms. Proceedings of the 7th World Congress on Intelligent Transport Systems, November 6-9, 2000, Turin, Italy, pp: 1-7.

Teodorovic, D., V. Varadarajan, J. Popovic, M.R. Chinnaswamy and S. Ramaraj, 2006. Dynamic programming-neural network real-time traffic adaptive signal control algorithm. Ann. Operat. Res., 143: 123-131.
CrossRef  |  Direct Link  |  

Trabia, M.B., M.S. Kaseko and M. Ande, 1999. A two-stage fuzzy logic controller for traffic signals. Transp. Res. Part C: Emerg. Technol., 7: 353-367.
CrossRef  |  

Vilarinho, C. and J.P. Tavares, 2014. Real-time traffic signal settings at an isolated signal control intersection. Transp. Res. Procedia, 3: 1021-1030.
CrossRef  |  Direct Link  |  

Witt, M. and P. Klimant, 2015. Hardware-in-the-loop machine simulation for modular machine tools. Procedia CIRP, 31: 76-81.
CrossRef  |  Direct Link  |  

Wozniak, P., 2011. Preferences in multi-objective evolutionary optimisation of electric motor speed control with hardware in the loop. Applied Soft Comput., 11: 49-55.
CrossRef  |  

Yin, H., S. Wong, J. Xu and C. Wong, 2002. Urban traffic flow prediction using a fuzzy-neural approach. Transport. Res. Part C: Emerg. Technologies, 10: 85-98.
Direct Link  |  

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