Abstract
Traffic congestion has become a major problem in the world wide. So we need efficient system which monitors the traffic and updates the time setting in traffic signal. The cameras installed in the road junction will be used to capture the real time traffic and these images will be processed to count the number of vehicles in each lane. MATLAB Platform is used where it develops the various object detection algorithms for the combination of many image processing algorithms. The real time object detection and tracking will be generated by control signals where Arduino programming will provide an interfacing hardware prototype. The centroid value will be calculated in each lane. Based on the centroid values obtained from the system, the signals will be sent for the traffic pole as the output.
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References
Naik, T., Roopalakshmi, R., Ravi, N.D., Jain, P., Sowmya, B.H.: RFID-based smart traffic control framework for emergency vehicles. In: 2nd International Conference on Inventive Communication and Computational Technologies (ICICCT 2018) (2018)
Mousa, M., Abdulaal, M., Boyles, S., Claudel, C.: Wireless sensor network-based urban traffic monitoring using inertial reference data. IEEE. 978-1-4799-8856-3/15 $31.00 © 2015
Celesti, A., Galletta, A., Carnevale, L., Fazio, M., Lay-Ekuakille, A., Villari, M.: An IoT cloud system for traffic monitoring and vehicular accidents prevention based on mobile sensor data processing. IEEE Sens. J. 18(12), 4795–4802 (2018)
Soleh, M., Jati, G., Sasongko, A.T., Jatmiko, W., Hilman, M.H.: A real time vehicle counts based on adaptive tracking approach for highway video. IEEE. 978-1-5386-2038-0/17/$31.00 c 2017
Nagmode, V.S., Rajbhoj, S.M.: An IoT platform for vehicle traffic monitoring system and controlling system based on priority. In: 3rd International Conference on Computing, Communication, Control and Automation (ICCUBEA) (2017)
Lah, A.A.A., Latiff, L.A., Dziyauddin, R.A., Kaidi, H.M., Ahmad, N.: Smart traffic monitoring and control architecture and design. In: IEEE 15th Student Conference on Research and Development (SCOReD) (2017)
Nagmode, V.S., Rajbhoj, S.M.: An intelligent framework for vehicle traffic monitoring system using IoT. In: International Conference on Intelligent Computing and Control (I2C2) (2017)
Ye, D., Liu, X., Liu, G., He, B., Lin, H.: Self-organization traffic flow methods based on traffic intelligent control systems. In: 29th Chinese Control And Decision Conference (CCDC) (2017)
Dubey, A., Rane, S.: Implementation of an intelligent traffic control system and real time traffic statistics broadcasting. In: International Conference on Electronics, Communication and Aerospace Technology, ICECA 2017 (2017)
Talukder, M.Z., Towqir, S.S., Remon, A.R., Zaman, H.U.: An IoT based automated traffic control system with real-time update capability. In: IEEE-2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT) (2017)
Gao, Y., Hong, A., Zhou, Q., Li, X., Liu, S., Shao, B.: Prediction of traffic density and interest using real time mobile traffic data. In: International Conference on Identification, Information and Knowledge in the Internet of Things (2016)
Tian, S., Shi, S., Gu, X.: Framework design of monitoring system for traffic based on embedded and RFID technology. IEEE. 978-1-4799-5344-8/15/$31.00 ©2015
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Pinto, M., Pais, S.L., Nisha, Gowri, S., Puthi, V. (2020). An Efficient Approach for Traffic Monitoring System Using Image Processing. In: Smys, S., Senjyu, T., Lafata, P. (eds) Second International Conference on Computer Networks and Communication Technologies. ICCNCT 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 44. Springer, Cham. https://doi.org/10.1007/978-3-030-37051-0_30
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DOI: https://doi.org/10.1007/978-3-030-37051-0_30
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