An IoT Application in a Smart Traffic Management System

Shailesh Shivajirao Bhise

doi:10.55544/jrasb.4.1.8

Authors

Shailesh Shivajirao Bhise H.O.D. Electronics and Telecommunication Engineering, Latthe Education Society’s Polytechnic, Sangli (MS), INDIA

DOI:

https://doi.org/10.55544/jrasb.4.1.8

Keywords:

IoT Sensors, Real-time Traffic Monitoring, Smart Signals, Vehicle Detection, Data Analytics

Abstract

Rapid urban development combined with rising vehicle numbers has caused intense traffic delays together with problems in transportation systems. The rise of serious traffic problems has created an urgent requirement to develop ground-breaking technology-based solutions. The implementation of IoT technology in smart traffic management systems proves to be an effective solution against these concerns through its smart traffic observing and modifying capabilities. IoT operates by collecting live data through advanced communication systems alongside predictive modeling to optimize transportation patterns and cut down delays and boost security levels on roads. The review paper examines different IoT-based smart traffic management solutions through analyses of available research documents. The document presents information about IoT architectures together with explanations of communication protocols along with data analytic principles and information regarding actual IoT implementations. Moreover the paper discusses the security threats along with scalability and infrastructure expenditure obstacles while it offers future research guidelines. This research focuses on discussing the present condition of IoT-based traffic management while providing recommendations for developing future progress.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

References

How IoT based Smart Traffic Management System Optimizes Traffic? (n.d.). Mantra Softech India Pvt Ltd. https://blog.mantratec.com/how-iot-based-smart-traffic-management-system-optimizes-traffic

Javaid, S., Sufian, A., Pervaiz, S., & Tanveer, M. (2018). Smart traffic management system using Internet of Things. 2018 20th International Conference on Advanced Communication Technology (ICACT). https://doi.org/10.23919/ICACT.2018.8323769

Smart Traffic Management Systems: Enhancing Transportation Efficiency and Safety. (2023). Includehelp.com. https://www.includehelp.com/iot/smart-traffic-management-systems.aspx#google_vignette

Almalki, Faris. A., Alsamhi, S. H., Sahal, R., Hassan, J., Hawbani, A., Rajput, N. S., Saif, A., Morgan, J., & Breslin, J. (2021). Green IoT for Eco-Friendly and Sustainable Smart Cities: Future Directions and Opportunities. Mobile Networks and Applications, 28(1). https://doi.org/10.1007/s11036-021-01790-w

Balakrishna, S., &Thirumaran, M. (2018). Semantic Interoperable Traffic Management Framework for IoT Smart City Applications. EAI Endorsed Transactions on Internet of Things, 4(13), 155482. https://doi.org/10.4108/eai.11-9-2018.155482

Cvitić, I., Peraković, D., Periša, M., & Gupta, B. (2021). Ensemble machine learning approach for classification of IoT devices in smart home. International Journal of Machine Learning and Cybernetics. https://doi.org/10.1007/s13042-020-01241-0

El-Sayed, H., Sankar, S., Prasad, M., Puthal, D., Gupta, A., Mohanty, M., & Lin, C.-T. (2018). Edge of Things: The Big Picture on the Integration of Edge, IoT and the Cloud in a Distributed Computing Environment. IEEE Access, 6, 1706–1717. https://doi.org/10.1109/ACCESS.2017.2780087

Jawhar, I., Mohamed, N., & Al-Jaroodi, J. (2018). Networking architectures and protocols for smart city systems. Journal of Internet Services and Applications, 9(1). https://doi.org/10.1186/s13174-018-0097-0

Kyriazis, D., Varvarigou, T., White, D., Rossi, A., & Cooper, J. (2013, June 1). Sustainable smart city IoT applications: Heat and electricity management Eco-conscious cruise control for public transportation. IEEE Xplore. https://doi.org/10.1109/WoWMoM.2013.6583500

Ma, Z., Xiao, M., Xiao, Y., Pang, Z., Poor, H. V., &Vucetic, B. (2019). High-reliability and Low-latency Wireless Communication for Internet of Things: Challenges, Fundamentals and Enabling Technologies. IEEE Internet of Things Journal, 1–1. https://doi.org/10.1109/jiot.2019.2907245

Mehmood, Y., Ahmad, F., Yaqoob, I., Adnane, A., Imran, M., &Guizani, S. (2017). Internet-of-Things-Based Smart Cities: Recent Advances and Challenges. IEEE Communications Magazine, 55(9), 16–24. https://doi.org/10.1109/mcom.2017.1600514

Ni, J., Zhang, K., Lin, X., & Shen, X. S. (2018). Securing Fog Computing for Internet of Things Applications: Challenges and Solutions. IEEE Communications Surveys & Tutorials, 20(1), 601–628. https://doi.org/10.1109/comst.2017.2762345

Rizwan, P., Suresh, K., &Babu, M. R. (2016, October 1). Real-time smart traffic management system for smart cities by using Internet of Things and big data. IEEE Xplore. https://doi.org/10.1109/ICETT.2016.7873660

Sharma, H., Haque, A., &Blaabjerg, F. (2021). Machine Learning in Wireless Sensor Networks for Smart Cities: A Survey. Electronics, 10(9), 1012. https://doi.org/10.3390/electronics10091012

Zanella, A., Bui, N., Castellani, A., Vangelista, L., &Zorzi, M. (2018). Internet of Things for Smart Cities. IEEE Internet of Things Journal, 1(1), 22–32. https://doi.org/10.1109/jiot.2014.2306328