Abstract
In recent years, smart control and management system plays an essential role in our day-to-day life. In this populated world, the smart management of traffic on highways, railways, and subway town is still remaining as a tedious task. This arises the need for developing a smart control and monitoring models for traffic management. With this requirement, the proposed systems uses the image processing model to observe the traffic in the roadways and communicates the information through an efficient IoT network. Furthermore, the proposed model has delivered a stable output, when compared with other existing traffic control systems.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Iszaidy, I., Ngadiran, R., Ahmad, R.B., Jais, M.I., Shuhaizar, D.: Implementation of raspberry Pi for vehicle tracking and travel time information system: a survey. In: 2016 International Conference on Robotics, Automation and Sciences (ICORAS), 09 March 2017 (2017). https://doi.org/10.1109/icoras.2016.7872605
Dangi, M.V., Parab, A.: Image processing based intelligent traffic controller. Undergrad. Acad. Res. J. (UARJ) 1(1), 13–17 (2012)
Tubaishat, J.M., Shang, Y., Shi, H.: Adaptive traffic light control with wireless sensor networks. Department of Computer Science University of Missouri – Columbia, MO. IEEE (2007)
Gradinescu, V., Gorgorin, C., Diaconescu, R., Cristea, V.: Adaptive traffic lights using car-to-car communication. “Politehnica” University Bucharest, Computer Science Department, Bucharest
Nagmode, V.S., Rajbhoj, S.M.: An IoT platform for vehicle traffic monitoring system and controlling system based on priority. Department of Electronics and Telecommunication, Bharati Vidyapeeth’s College of Engineering for Women, Pune, India
Dorle, S.S., Patel, P.L., Raisoni, G.H.: Design approach for dynamic traffic control system based on radio propagation model in VANET
Youseph, K.M., Al-Karaki, J.N., Shatnawi, A.M.: Intelligent traffic light flow control system using wireless sensors networks, Department of Computer Engineering, Jordan University of Science and Technology, Irbid, Jordan
de Charette, R., Nashashibi, F.: Traffic light recognition using Image processing compared to learning processes
Panjwani, M., Tyagi, N., Shalini, D., Venkata Lakshmi Narayana, K.: Smart traffic control using ımage processing
Kumar, S.: Ubiquitous smart home system using android application. Int. J. Comput. Netw. Commun. (IJCNC) 6(1) (2014)
Fathy, M., Siyal, M.Y.: An image detection technique based on morphological edge detection and background differencing for real time traffic analysis
Acknowledgement
We thank our guide Prof Dr M. SANKAR who supported to develop this project work and also our collage AMGOI Kolhapur.
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Sankar, M., Parvathi, R., Mungale, S.C., Khot, D. (2020). Image Processing Based Intelligent Traffic Controlling and Monitoring System Using Internet of Things. In: Hemanth, D., Shakya, S., Baig, Z. (eds) Intelligent Data Communication Technologies and Internet of Things. ICICI 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 38. Springer, Cham. https://doi.org/10.1007/978-3-030-34080-3_15
Download citation
DOI: https://doi.org/10.1007/978-3-030-34080-3_15
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-34079-7
Online ISBN: 978-3-030-34080-3
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)