Intelligent Traffic Management System for Prioritizing Emergency Vehicles in a Smart City (TECHNICAL NOTE)


Department of Computer Engineering, National Institute of Technology, Kurukshetra, India


Traffic congestion worldwide has led to loss of human lives due to failure in transporting accident victims, critical patients, medical equipment and medicines on time. With the unending growth in vehicular traffic everywhere, Internet of Things (IOT) and Vehicular Ad Hoc Network (VANET) have embarked as a promising platform for an Intelligent Traffic Management System (ITMS). Many researches have been done to clear emergency vehicles, but they have not only failed to meet the target travel time of an emergency vehicle, but also failed to provide solutions, when traffic signals are hacked. This paper proposes an intelligent traffic management system for a Smart City that is inspired by the concepts of IoT and VANET. In the proposed solution, emergency vehicles are scheduled to prioritize them for a smooth passage through the traffics based on incident type. It not only navigates ambulances in finding the shortest possible paths till their destination, but also presents a solution to detect and respond to hacking of traffic signals. To show the superiority of our proposed system, a simulated environment modeling actual roads and vehicle movements has been demonstrated using CupCarbon simulator. Comparative results exhibits superior performance of our proposed system over the other recently proposed ITS for emergency vehicles, in terms of both congestion avoidance, transmission delay, travel time and respond to hacking.


1.     Sumi, L. and Ranga, V., "Sensor enabled internet of things for smart cities", in Parallel, Distributed and Grid Computing (PDGC), 2016 Fourth International Conference on, IEEE., (2016), 295-300.
2.     Nellore, K. and Hancke, G.P., "Traffic management for emergency vehicle priority based on visual sensing", Sensors,  Vol. 16, No. 11, (2016), 1892.
3.     SmithaShekar, B., Divyashree, C., George, G., Rani, H.U., Murali, A. and Kumar, G.N., "Gps based shortest path for ambulances using vanets", in Proc. International Conference on Wireless Networks (ICWN 2012). Vol. 49, (2012).
4.     Djahel, S., Salehie, M., Tal, I. and Jamshidi, P., "Adaptive traffic management for secure and efficient emergency services in smart cities", in Pervasive Computing and Communications Workshops (PERCOM Workshops), 2013 IEEE International Conference on, IEEE., (2013), 340-343.
5.     Sundar, R., Hebbar, S. and Golla, V., "Implementing intelligent traffic control system for congestion control, ambulance clearance, and stolen vehicle detection", IEEE Sensors Journal,  Vol. 15, No. 2, (2015), 1109-1113.
6.     Chowdhury, A., "Priority based and secured traffic management system for emergency vehicle using iot", in Engineering & MIS (ICEMIS), International Conference on, IEEE., (2016), 1-6.
7.     Mittal, A.K. and Bhandari, D., "A novel approach to implement green wave system and detection of stolen vehicles", in Advance Computing Conference (IACC), 2013 IEEE 3rd International, IEEE., (2013), 1055-1059.
8.     Garip, M.T., Gursoy, M.E., Reiher, P. and Gerla, M., "Congestion attacks to autonomous cars using vehicular botnets", in NDSS Workshop on Security of Emerging Networking Technologies (SENT), San Diego, CA., (2015).
9.     Milanes, V., Villagra, J., Godoy, J., Simo, J., Pérez, J. and Onieva, E., "An intelligent v2i-based traffic management system", IEEE Transactions on Intelligent Transportation Systems,  Vol. 13, No. 1, (2012), 49-58.
10.   Jayapal, C. and Roy, S.S., "Road traffic congestion management using vanet", in Advances in Human Machine Interaction (HMI), 2016 International Conference on, IEEE., (2016), 1-7.
11.   Foschini, L., Taleb, T., Corradi, A. and Bottazzi, D., "M2m-based metropolitan platform for ims-enabled road traffic management in iot", IEEE Communications Magazine,  Vol. 49, No. 11, (2011).
12.   Chatrapathi, C., Rajkumar, M.N. and Venkatesakumar, V., "Vanet based integrated framework for smart accident management system", in Soft-Computing and Networks Security (ICSNS), 2015 International Conference on, IEEE., (2015), 1-7.
13.   Wang, M., Shan, H., Lu, R., Zhang, R., Shen, X. and Bai, F., "Real-time path planning based on hybrid-vanet-enhanced transportation system", IEEE Transactions on Vehicular Technology,  Vol. 64, No. 5, (2015), 1664-1678.
14.   Al-Sakran, H.O., "Intelligent traffic information system based on integration of internet of things and agent technology", International Journal of Advanced Computer Science and Applications (IJACSA),  Vol. 6, No. 2, (2015), 37-43.
15.           Chang, I.-C., Tai, H.-T., Yeh, F.-H., Hsieh, D.-L. and Chang, S.-H., "A vanet-based a* route planning algorithm for travelling time-and energy-efficient gps navigation app", International Journal of Distributed Sensor Networks,  Vol. 9, No. 7, (2013), 794521.