A Survey on IoT Based Traffic Control and Prediction Mechanism

  • Sourav BanerjeeEmail author
  • Chinmay Chakraborty
  • Sumit Chatterjee
Part of the Intelligent Systems Reference Library book series (ISRL, volume 154)


Internet of Things (IoT) is the most demanding platform that describes the interconnection of physical devices in near future. Since, the inter-connection of physical devices is getting more popular with the internet day by day, these interlinked devices are capable of integration among themselves in order to operate. Automated vehicles are being produced heavily nowadays and it is considered to be the next technological rage in the field of transportation. This revolution in the transport environment needs redesigning the infrastructure so that the production of embedded vehicles can be chained to an embedded traffic management system. This instinctual design of the traffic control and management system can lead to the improvement of the traffic congestion problem. The traffic density can be calculated using a Raspberry Pi microcomputer and a couple of ultrasonic sensors and the lanes can be operated accordingly. A website can be designed where traffic data can be uploaded and any user can retrieve it. This property will be useful to the users for getting real-time information and detection of any road intersection and discover the fastest traffic route.


Internet of things Traffic control Sensors RFID Short range technology Cloud computing Image processing 

Abbreviations List


Internet of things


Internet protocol


Metropolitan planning organization


Radio-frequency identification


  1. 1.
    Internet of Things, Last Accessed 25 May (2018)
  2. 2.
    What is IoT? Everything you need to know about internet of things right now, Last Accessed 25 May 2018
  3. 3.
    What is IoT and Why we need IoT? Last Accessed 27 May 2018
  4. 4.
    What is internet of things and why it is important? Last Accessed 27 May 2018
  5. 5.
    reasons why you need an IoT platform? Last Accessed 27 May 2018
  6. 6.
    Kamoji, S., Nambiar, A., Khot, K., Bajpai, R.: Dynamic vehicle traffic management system. IJRET Int. J. Res. Eng. Technol. (2015)Google Scholar
  7. 7.
    Lanke, N., Koul, S.: Smart traffic management system. Int. J. Comput. Appl. 75(7), 0975–8887 (2013)Google Scholar
  8. 8.
    Kafi, M.A., Challal, Y., Djenouri, D., Doudou, M., Bouabdallah, A., Khelladi, L., Badache, N.: A study of wireless sensor network architectures and projects for traffic light monitoring. ANT (2012) Google Scholar
  9. 9.
    Wu, B.F., Kao, C.C., Juang, J.H., Huang, Y.S.: A new approach to video-based traffic surveillance using fuzzy hybrid information inference mechanism. IEEE Trans. Intell. Trans. Syst. 14(1) (2013)CrossRefGoogle Scholar
  10. 10.
    Kafi, M.A., Challal, Y., Djenouri, D., Doudou, M., Bouabdallah, A., Badache, N.: A study of wireless sensor networks for urban traffic monitoring: applications and architectures. In: 4th International Conference on Ambient Systems, Networks and Technologies (ANT 2013), pp. 617–626. Elsevier, Procedia Computer Science 19 (2013)Google Scholar
  11. 11.
    Lee, U., Gerla, M.: A survey of urban vehicular sensing platforms. Comput. Netw. 54, 527–544 (2010)CrossRefGoogle Scholar
  12. 12.
    Das, A., Dash, P., Mishra, B.K.: An innovation model for smart traffic management system using internet of things (IoT). In: Sangaiah A., Thangavelu A., Meenakshi Sundaram V. (eds) Cognitive Computing for Big Data Systems Over IoT. Lecture Notes on Data Engineering and Communications Technologies, vol. 14. Springer, Cham (2018)Google Scholar
  13. 13.
    Deepti, G, Santanu, C, Hiranmay, G.: An IoT approach for context-aware smart traffic management using ontology. In: Proceedings of the International Conference on Web Intelligence (WI ‘17), pp. 42–49 (2017)Google Scholar
  14. 14.
    Anupama, M., Hiranmay, G., Santanu, C., Gaurav, H.: MOWL: an ontology representation language for web-based multimedia applications. ACM Trans. Multimedia Comput. Commun. Appl. (TOMM) 10, 1 (2013)CrossRefGoogle Scholar
  15. 15.
    Sneha, T., Ragunathan, T., Battula, S.K., Varsha Rani, B., RaviBabu, P., Raghu, R.R.N., Jorika, V., Reddy, V.M.: IOT-based traffic signal control technique for helping emergency vehicles. 1st International Conference on Computational Intelligence and Informatics. Advances in Intelligent Systems and Computing, vol. 507, pp. 433–440. Springer, Singapore (2016)Google Scholar
  16. 16.
    Kuppusamy, P., Kalpana, R., Venkateswara Rao, P.V.: Cluster Comput. (2018).
  17. 17.
    Darbari, M., Yagyasen, D., Tiwari, A.: Intelligent Traffic Monitoring Using Internet of Things (IoT) with Semantic Web. In: Satapathy, S., Govardhan, A., Raju, K., Mandal, J. (eds) Emerging ICT for Bridging the Future- Proceedings of the 49th Annual Convention of the Computer Society of India (CSI) Volume 1. Advances in Intelligent Systems and Computing, vol. 337. Springer, Cham (2015)Google Scholar
  18. 18.
    Vardhana, M., Arunkumar, N., Abdulhay, E., Vishnuprasad P.V.: IoT based real time traffic control using cloud computing, Cluster Computing, pp. 1–10. Springer, US (2018)
  19. 19.
    Wang X., Ning, Z., Wang, L.: Offloading in Internet of vehicles: a fog-enabled real-time traffic management system. IEEE Trans. Ind. Inf. Scholar
  20. 20.
    Rajalakshmi, V., Ganesh Vaidyanathan, S.: Efficient traffic management on road network using edmonds–karp algorithm. In: Panigrahi, C., Pujari, A., Misra, S., Pati, B., Li, K.C. (eds) Progress in advanced computing and intelligent engineering. Advances in Intelligent Systems and Computing, vol. 714. Springer, Singapore (2019). Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Sourav Banerjee
    • 1
    Email author
  • Chinmay Chakraborty
    • 2
  • Sumit Chatterjee
    • 1
  1. 1.Kalyani Government Engineering CollegeKalyaniIndia
  2. 2.Birla Institute of TechnologyRanchiIndia

Personalised recommendations