References
- 1. Abdallah, A.B., Vaidyanathan, R., Ariwa, E. and El-Medany, W. (2015) Introduction to Special Issue: Design and Performance of Networks on Chip. Int. J. Com. Dig. Sys, 5(2).
- 2. Ahonen, T. and O'reilly, J. (2007) Digital Korea: Convergence of Broadband Internet, 3G Cell Phones, Multiplayer Gaming, Digital TV, Virtual Reality, Electronic Cash, Telematics, Robotics, E-Government and the Intelligent Home, Futuretext.
- 3. Anagnostopoulos, C.N.E., Anagnostopoulos, I.E., Loumos, V. and Kayafas, E. (2006) A License Plate-Recognition Algorithm for Intelligent Transportation System Applications. Intelligent Transportation Systems, IEEE Transactions on, 7, 377-392.
- 4. Barrachina, J., Garrido, P., Fogue, M., Martinez, F.J., Cano, J.-C., Calafate, C.T. and Manzoni, P. (2012) D-RSU: A Density-Based Approach for Road Side Unit Deployment in Urban Scenarios. In: International Workshop on IPv6-Based Vehicular Networks (Vehi6), Collocated with the 2012 IEEE Intelligent Vehicles Symposium, 2012.
- 5. Barrachina, J., Garrido, P., Fogue, M., Martinez, F.J., Cano, J.-C., Calafate, C.T. and Manzoni, P. (2013) Road Side Unit Deployment: A Density-Based Approach. Intelligent Transportation Systems Magazine, IEEE, 5(3), p. 30-39.
- 6. Bauer, S., Kohler, S., Doll, K. and Brunsmann, U. (2010a) FPGA-GPU Architecture for Kernel SVM Pedestrian Detection. In: Computer Vision and Pattern Recognition Workshops (CVPRW), 2010 IEEE Computer Society Conference on, 2010. IEEE.
- 7. Bauer, S. et al. (2010b) FPGA-GPU architecture for kernel SVM pedestrian detection. In: 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition-Workshops. 2010. IEEE.
- 8. El-Medany, W. and Hussain, M. (2007) FPGA-Based Advanced Real Traffic Light Controller System Design. In: Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2007. IDAACS 2007. 4th IEEE Workshop on, 2007. IEEE.
- 9. Giannopoulos, G. and Mcdonald, M. (1997) Developments in Transport Telematics Applications in Japan: Traffic Management, Freight and Public Transport. Transport Reviews, 17(1), p. 37-59.
- 10. Han, Y. and Oruklu, E. (2014) Real-Time Traffic Sign Recognition Based on Zynq FPGA and ARM SoCs. In: Electro/Information Technology (EIT), 2014 IEEE International Conference on, 2014. IEEE.
- 11. Hulea, M., Moiş, G.D. and Folea, S. (2011) Dynamic Wi-Fi Reconfigurable FPGA Based Platform for Intelligent Traffic Systems. Labview–Practical Applications and Solutions. InTech, 377-396.
- 12. Hussain, M.R., Zainal, A., Elmedany, W.M. and Fakhr, M.W. (2013) Telematics Business and Management in Bahrain Market. Transport and Telecommunication, 14(1), p. 13-19.
- 13. Karloff, A.C. and Abdel-Raheem, E. (2013) Performance Analysis of a Flexible, Optimized and Fully Configurable FPGA Architecture for Two-Channel Filter Banks. Int. J. Com. Dig. Sys, 2(2), p. 53-62.
- 14. Kolls, H.B. (2005) Global Network Based Vehicle Safety And Security Telematics. Google Patents.
- 15. Martinez, F.J., Toh, C.-K., Cano, J.-C., Calafate, C.T. and Manzoni, P. (2010) Emergency Services in Future Intelligent Transportation Systems Based on Vehicular Communication Networks. Intelligent Transportation Systems Magazine, IEEE, 2, 6-20.
- 16. Nieto, M. et al. (2014) On creating vision-based advanced driver assistance systems. IET Intelligent Transport Systems, 2014. 9(1): p. 59-66.
- 17. Sander, O., Glas, B., Roth, C., Becker, J. and Muller-Glaser, K. (2009) Design of a Vehicle-To-Vehicle Communication System on Reconfigurable Hardware. Field-Programmable Technology, 2009. FPT 2009. International Conference on, 2009. IEEE.
- 18. Scarinci, R. and Heydecker, B. (2014) Control concepts for facilitating motorway on-ramp merging using intelligent vehicles. Transport reviews, 2014. 34(6): p. 775-797.
- 19. Sharma, M., Elmiligi, H. and Gebali, F. (2015) Performance Evaluation of Real-Time Systems. Int. J. Com. Dig. Sys, 4(1).
- 20. Song, Y.-W., Kim, J.D., Yu, L., Lee, H.K. and Lee, H.S. (2012) A Comparative Study of the Telematics Industry in Korea and China. Journal of Internet Banking and Commerce, 17(1), p.1-13.
- 21. Thanh, T., Vu, T.H., Van Cuong, N. and Nam, P.N. (2014) Protecting FPGA-Based Partially Reconfigurable Embedded Systems and IP Cores from Remote Update. International Journal of Computing and Digital Systems, 3(1), p. 21-27.
- 22. Velez, G., Cortés, A., Nieto, M., Vélez, I. and Otaegui, O. (2014) A Reconfigurable Embedded Vision System for Advanced Driver Assistance. Journal of Real-Time Image Processing, p. 1-15.
- 23. Waite, S. and Oruklu, E. (2013) FPGA-Based Traffic Sign Recognition for Advanced Driver Assistance Systems.
- 24. Wiering, M., Van Veenen, J., Vreeken, J. and Koopman, A. (2004) Intelligent Traffic Light Control. Institute of Information and Computing Sciences. Utrecht University.
- 25. Xilinx. (2009) PlanAhead User Guide [Online]. Available: http://www.xilinx.com/support/documentation/sw_manuals/xilinx11/PlanAhead_UserGuide.pdf. [cited 2015 2/5].
- 26. Xu, Y. (2000) Development of Transport Telematics in Europe. Geoinformatica, 4(2), p. 179-200.
- 27. Zaied, A.N.H. and Al Othman, W. (2011) Development of a Fuzzy Logic Traffic System for Isolated Signalized Intersections in the State of Kuwait. Expert Systems with Applications, 38(8), p. 9434-9441.
- 28. Zhenggang, L., Jialong, X., Mingyun, Z., Jun, Y. and Hongwei, D. (2009) FPGA-Based Dual-Mode Traffic Lights System Design. In: Information Science and Engineering (ICISE), 2009 1st International Conference on, 2009. IEEE.