Abstract
The evolution of the computer technologies is playing important role in the development and planning of the smart transportation system for the public domain. The smart transportation management monitors and manages the traffic in real time. This paper proposes an approach for smart traffic monitoring and control system. The proposed system aims to provide least congestion routes for the emergency services. This approach detects the congestion and tracks the locations of the emergency vehicles in real time and notifies the traffic control room. The detection of the congestion is based on the images obtained from the cameras installed at various locations in the city. The RFID readers are used to detect and track the location of the emergency vehicles. Traffic control rooms control the traffic lights based on the congestion information and location of the emergency vehicles. The RFID module is simulated in NS2, and congestion detection module is implemented in OpenCV and Java. The proposed approach is suitable for creating green corridors for emergency vehicles.
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References
Kumar, T., Kushwaha, D.S.: Traffic surveillance and speed limit violation detection system. J. Intell. Fuzzy Syst. 32, 3761–3773 (2017). https://doi.org/10.3233/JIFS-169308
Kumar, T., Gupta, S., Kushwaha, D.S.: An efficient approach for automatic number plate recognition for low resolution images. In: The Fifth International Conference on Network, Communication and Computing (ICNCC) 2016, Kyoto, Japan, pp. 53–57 (2016). https://doi.org/10.1145/3033288.3033332
Zhang, E., Kuang, Y., Jiang, W., Umer, M.A.: Active RFID positioning of vehicles in road traffic. In: 11th International Symposium on Communications and Information Technologies (ISCIT) 2011, Hangzhou, China, pp. 222–227 (2011). https://doi.org/10.1109/iscit.2011.6089737
Terroso-Sáenz, F., Valdés-Vela, M., Sotomayor-Martinez, C., Toledo-Moreo, R., Gómez-Skarmeta, A.F.: A cooperative approach to traffic congestion detection with complex event processing and VANET. IEEE Trans. Intell. Transp. Syst. 13, 914–929 (2012). https://doi.org/10.1109/tits.2012.2186127
Palubinskas, G., Kurz, F., Reinartz, P.: Detection of traffic congestion in optical remote sensing imagery. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2008, Massachusetts, USA, II, pp. 426–429 (2008). https://doi.org/10.1109/igarss.2008.4779019
Li, L., Chen, L., Huang, X., Huang, J.: A traffic congestion estimation approach from video using time-spatial imagery. In: First International Conference on Intelligent Networks and Intelligent Systems (ICINIS’08) 2008, Wuhan, China, pp. 465–469 (2008). https://doi.org/10.1109/icinis.2008.182
Idé, T., Katsuki, T., Morimura, T., Morris, R.: City-wide traffic flow estimation from a limited number of low-quality cameras. IEEE Trans. Intell. Transp. Syst. 18, 950–959 (2017). https://doi.org/10.1109/TITS.2016.2597160
D’Andrea, E., Marcelloni, F.: Detection of traffic congestion and incidents from GPS trace analysis. Expert Syst. Appl. 73, 43–56 (2017)
Bang, O., Kim, S., Lee, H.: Identification of RFID tags in dynamic framed slotted ALOHA. In: 11th International Conference on Advanced Communication Technology (ICACT) 2009, Gangwon-Do, Korea (South), pp. 354–357 (2009)
Cha, J.-R., Kim, J.-H.: Dynamic framed slotted ALOHA algorithms using fast tag estimation method for RFID system. In: Proceedings of IEEE Consumer Communications and Networking Conference 2006, Las Vegas, USA, pp. 768–772 (2006)
Kumar, T., Gupta, S., Kushwaha, D.S.: A smart cost effective public transportation system: an ingenious location tracking of public transit vehicles. In: 5th International Symposium on Computational and Business Intelligence (ISCBI) 2017, Dubai, UAE, pp. 134–138 (2017)
Maguire, Y., Pappu, R.: An optimal Q-algorithm for the ISO 18000-6C RFID protocol. IEEE Trans. Autom. Sci. Eng. 6, 16–24 (2009). https://doi.org/10.1109/TASE.2008.2007266
Kumar, T., Kushwaha, D.S.: An efficient approach for detection and speed estimation of moving vehicles. Procedia Comput. Sci. 89, 726–731 (2016). https://doi.org/10.1016/j.procs.2016.06.045
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Kumar, T., Kushwaha, D.S. (2019). An Approach for Traffic Congestion Detection and Traffic Control System. In: Fong, S., Akashe, S., Mahalle, P. (eds) Information and Communication Technology for Competitive Strategies. Lecture Notes in Networks and Systems, vol 40. Springer, Singapore. https://doi.org/10.1007/978-981-13-0586-3_10
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DOI: https://doi.org/10.1007/978-981-13-0586-3_10
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