Traffic Control and Management Over IoT for Clearance of Emergency Vehicle in Smart Cities

  • Biru RajakEmail author
  • Dharmender Singh Kushwaha
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 40)


With technology permeating every aspect of human life, its adoption for traffic management has now become the norm in most of the developed countries. Many developing countries are now working toward adopting smart and intelligent ways to manage the ever increasing road traffic. The smart traffic management system is envisaged to manage the traffic from a centralized management system. This centralized traffic control center controls the traffic monitoring in real-time traffic conditions and can be used efficiently in the case of a medical emergency. In a medical emergency, the centralized control center may suspend the routine movement, to create a Green Corridor for the ambulance to pass without any delay at traffic junctions. This paper proposes a framework for the centralized traffic control system that is capable of creating a “Green Corridor” for an ambulance in case of a medical emergency. The system uses Internet of Things’ (IoT) techniques like WiMAX for the centralized control center for all traffic signals and RFID to identify the vehicle. Our contribution is a framework for creating a Green Corridor route map generation for the ambulance and resuming of the routine traffic after allowing the ambulance to cross the traffic signal.


IoT Green Corridor WiMAX RFID 


  1. 1.
    Smart Cities Mission, Government of India.
  2. 2.
    Lukas Postulka, H.: ‘Give way to ambulance’ educates people that saving time is saving life.
  3. 3.
    Chattaraj, A., Bansal, S., Chandra, A.: An intelligent traffic control system using RFID. IEEE Potentials 28, 40–43 (2009)CrossRefGoogle Scholar
  4. 4.
    Pareit, D., Lannoo, B., Moerman, I., Demeester, P.: The history of WiMAX: a complete survey of the evolution in certification and standardization for IEEE 802.16 and WiMAX. IEEE Commun. Surv. Tutor. 14, 1183–1211 (2012)CrossRefGoogle Scholar
  5. 5.
    Tang, S.: Performance modeling of an integrated wireless network using WiMAX as backhaul support for WiFi traffic. Int. J. Wirel. Inf. Netw. 19, 73–83 (2011)CrossRefGoogle Scholar
  6. 6.
    Mittal, A., Bhandari, D.: A novel approach to implement green wave system and detection of stolen vehicles. In: 2013 3rd IEEE International Advance Computing Conference (IACC) (2013)Google Scholar
  7. 7.
    Sharma, S., Pithora, A., Gupta, G., Goel, M., Sinha,. M.: Traffic light priority control for emergency vehicle using RFID. Int. J. Invocations Eng. Technol. 363–366 (2013)Google Scholar
  8. 8.
    Sundar, R., Hebbar, S., Golla, V.: Implementing intelligent traffic control system for congestion control, ambulance clearance, and stolen vehicle detection. IEEE Sens. J. 15, 1109–1113 (2015)CrossRefGoogle Scholar
  9. 9.
    Gudipati, A., Perry, D., Li, L., Katti, S.: SoftRAN. In: Proceedings of the second ACM SIGCOMM workshop on Hot topics in software defined networking—HotSDN’13 (2013)Google Scholar
  10. 10.
    Damnjanovic, A., Montojo, J., Wei, Y., Ji, T., Luo, T., Vajapeyam, M., Yoo, T., Song, O., Malladi, D.: A survey on 3GPP heterogeneous networks. IEEE Wirel. Commun. 18, 10–21 (2011)CrossRefGoogle Scholar
  11. 11.
  12. 12.
    Cucchiara, R., Piccardi, M., Mello, P.: Image analysis and rule-based reasoning for a traffic monitoring system. IEEE Trans. Intell. Transp. Syst. 1, 119–130 (2000)CrossRefGoogle Scholar
  13. 13.
    Wu, Y.-M., Ye X.-Q., Gu W.-K.: A shadow handler in traffic monitoring system. In: IEEE 55th Vehicular Technology Conference VTC, Spring 2002Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringMotilal Nehru National Institute of Technology AllahabadAllahabadIndia

Personalised recommendations