Open Access

A Vision-Based Real-Time Adaptive Traffic Light Control System Using Vehicular Density Value and Statistical Block Matching Approach


Cite

1. Robertson, D. I. (1969) TRANSYT: A Traffic Network Study Too, RRL Report LR 253, Road Research Laboratory Crowthorne, Berkshire.Search in Google Scholar

2. Kastrinaki, V., Zervakis, M., Kalaitzakis, K. (2003) A survey of video processing techniques for traffic applications. Image Vis. Comput., 21(4), pp. 359–381.10.1016/S0262-8856(03)00004-0Search in Google Scholar

3. Lozano, A., Manfredi, G., Nieddu, L. (2009) An algorithm for the recognition of levels of congestion in road traffic problems. Math. Comput. Simul., 79(6), pp. 1926–1934.10.1016/j.matcom.2007.06.008Search in Google Scholar

4. Bubeníková, E., Muzikářová, L., Halgaš, J. (2012) Application of image processing in intelligent transport systems. IFAC Proc. Vol., 11(1), pp. 53–56.10.3182/20120523-3-CZ-3015.00012Search in Google Scholar

5. Mu, G., Xinyu, Z., Deyi, L., Tianlei, Z., Lifeng, A. (2015) Traffic light detection and recognition for autonomous vehicles. J. China Univ. Posts Telecommun., 22(1), pp. 50–56.10.1016/S1005-8885(15)60624-0Search in Google Scholar

6. Nemade, B. (2016) Automatic Traffic Surveillance Using Video Tracking. Procedia Comput. Sci., 79, pp. 402–409.10.1016/j.procs.2016.03.052Search in Google Scholar

7. Małecki, K. (2016) The Importance of Automatic Traffic Lights Time Algorithms to Reduce the Negative Impact of Transport on the Urban Environment. Transp. Res. Procedia, 16(March), pp. 329–342.10.1016/j.trpro.2016.11.032Search in Google Scholar

8. Bommes, M., Fazekas, A., Volkenhoff, T., Oeser, M. (2016) Video Based Intelligent Transportation Systems - State of the Art and Future Development. Transp. Res. Procedia, 14, pp. 4495–4504.10.1016/j.trpro.2016.05.372Search in Google Scholar

9. Srivastava, S. et al. (2016) Adaptive Traffic Light Timer Control (ATLTC), Adaptive Traffic Light Timer Control (ATLTC) – NERD.Search in Google Scholar

10. Chandan, K., Seco, A. M., Silva, A. B. (2017) Real-time Traffic Signal Control for Isolated Intersection, using Car-following Logic under Connected Vehicle Environment. Transp. Res. Procedia, 25, pp. 1610–1625.10.1016/j.trpro.2017.05.207Search in Google Scholar

11. Kotov, A., Pospelov, P. (2017) Engineering Tools and Methods of Estimation of Traffic Capacity Using Mobile Video Monitoring. Transp. Res. Procedia, 20, pp. 347–354.10.1016/j.trpro.2017.01.044Search in Google Scholar

12. Makino, H., Tamada, K., Sakai, K., Kamijo, S. (2018) Solutions for urban traffic issues by ITS technologies. IATSS Res., 42(2), pp. 49–60.10.1016/j.iatssr.2018.05.003Search in Google Scholar

13. Nagy, A. M., Simon, V. (2018) Survey on traffic prediction in smart cities, Pervasive Mob. Comput., 50, pp. 148–163.10.1016/j.pmcj.2018.07.004Search in Google Scholar

14. Aibin, M. (2018) Traffic prediction based on machine learning for elastic optical networks. Opt. Switch. Netw., 30, pp. 33–39.10.1016/j.osn.2018.06.001Search in Google Scholar

15. Rabbouch, H., Saâdaoui, F., Mraihi, R. (2018) A vision-based statistical methodology for automatically modeling continuous urban traffic flows. Adv. Eng. Informatics, 38, pp. 392–403.10.1016/j.aei.2018.08.006Search in Google Scholar

16. Matsuoka, S. (2018) Traffic management project in Phnom Penh. IATSS Res., 42(4), pp. 180–189.10.1016/j.iatssr.2018.12.001Search in Google Scholar

17. Mfenjou, M. L., Abba Ari, A. A., Abdou, W., Spies, F., Kolyang (2018) Methodology and trends for an intelligent transport system in developing countries, Sustain. Comput. Informatics Syst., 19, pp. 96–111.10.1016/j.suscom.2018.08.002Search in Google Scholar

18. Zhang, H., Dai, G. L. (2018) Research on traffic decision making method based on image analysis case-based reasoning. Optik (Stuttg)., 158, pp. 908–914.10.1016/j.ijleo.2018.01.007Search in Google Scholar

19. Małecki, K., Iwan, S. (2019) Modeling traffic flow on two-lane roads with traffic lights and countdown timer, Transp. Res. Procedia, 39, no. 2018, pp. 300–308.10.1016/j.trpro.2019.06.032Search in Google Scholar

20. Dodsworth, Joel Andrew (2018) The application of vehicle classification, vehicle-to-infrastructure communication and a car-following model to single intersection traffic signal control, Ph.D. thesis, University of Leeds.Search in Google Scholar

eISSN:
1407-6179
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Engineering, Introductions and Overviews, other