Modeling and Simulation of Traffic Lights on the High Contrast and Brightness Conditions and Structure Technology
Subject Areas : journal of Artificial Intelligence in Electrical Engineering
Keywords: Local image processing, Traffic light, Lighting conditions, Normalized model,
Abstract :
Nowadays, the use of intelligent control systems to reduce human error is one of the most popularresearch fields. Design and implementation of such controllers requires to actual knowledge of theenvironment conditions. Traffic lights as one of the inputs of intelligent control systems are significant.usually the traffic lights have the various physical structure. also, generally in image processingimages is provided by a digital camera therefore having similar characteristics of images is anecessity. The light of environment conditions as backlight can lead to different results in the imageprocessing. It seems, design and practical implementation of this system with acceptable performancewill be hard achievable without a proper model for different lighting conditions. In this study wepropose a consistent and comprehensive model for traffic lights in various lighting conditions, such asday and night conditions.
[1] D. I. Robertson and R. D. Bretherton,
“Optimizing networks of traffic signals in real
time-the SCOOT method,” IEEE Transactions
on Vehicular Technology, Vol. 40, 1991, pp.
11-15.
[2] J. H. Lee and H. Lee-Kwang, “Distributed and
cooperative fuzzy controllers for traffic
intersection group,” IEEE Transactions on
Systems, Man and Cybernetics, Vol. 29, 1999,
pp. 263-271.
[3] L. Figureiredo, I. Jesus, J. A. T. Machado, J. R.
Ferreira, and J. L. M. de Carvalho, “Towards
the development of intelligent transportation
systems,” in Proceedings of IEEE Intelligent
Transportation Systems, 2001, pp. 1206-1211.
[4] Diakaki, C., Papageorgiou, M., and Aboudolas,
K.,”A multivariable regulator approach to
trafficresponsive network-wide signal control,”
Control Engineering Practice, 10(2), 2002,
pp.183-195.
[5] Papageorgiou, M., Diakaki, C., Dinopoulou, V.,
Kotsialos, A., and Wang, Y., “Review of road
traffic control strategies,” Proceedings of the
IEEE, 91(12), 2003, pp.2043-2067.
[6] Patel, M., and Ranganathan, N., “IDUTC: An
intelligent decision making system for urban
trafficcontrol applications,” IEEE Transactions
on Vehicular Technology, 50(3), 2001, pp.816-
829.
[7] Huang, Y. S., and Su, P. J., “Modelling and
analysis of traffic light control systems,” IET
Control Theory and Applications, Vol.3, Issue
3, 2009, pp.340-350.
[8] Peterson, J. L., “Petri net theory and the
modelling of systems,” Prentice Hall, 1981.
[9] Murata, T., “Petri Nets: Properties, Analysis and
Applications,” Proceeding of the IEEE, Vol.77,
No.4, 1989, pp.541-580.
[10] Y. Chen; X.Y. Huang, and S. G..Yang
“Research and Development of Automotive
Collision Avoidance System,” Computer
Simulation, 2006, 23(12), pp. 239-243.
[11] L. Long, F. Andreas, B. Roberto and W. H.
Zhang, “Communication- Based Intersection
Safety: Motivation, Challenges and State-of-the-
Art,” International Workshop on Intelligent
Transportation, Hamburg, 2009, pp.1-5.
[12] A. Kamarudin, A. Riza, and I.Rozmi, “Intelligent
Transport System for Motorcycle Safety and
Issues European,” Journal of Scientific
Research, 2009, 4 (28), pp. 600-611.