IJE TRANSACTIONS B: Applications Vol. 31, No. 2, (February 2018) 278-283 Please cite this article as: L. Sumia, V. Ranga, Intelligent Traffic Management System for Prioritizing Emergency Vehicles in a Smart City, International Journal of Engineering (IJE), IJE TRANSACTIONS B: Applications Vol. 31, No. 2, (February 2018) 278-283 International Journal of Engineering Journal Homepage: www.ije.ir Intelligent Traffic Management System for Prioritizing Emergency Vehicles in a Smart City L. Sumia, V. Ranga* Department of Computer Engineering, National Institute of Technology, Kurukshetra, India PAPER INFO Paper history: Received 01 August 2017 Received in revised form 22 October 2017 Accepted 30 November 2017 Keywords: Intelligent Traffic Management System Emergency Vehicles Road Side Units Smart Cities ABSTRACT Traffic congestion worldwide has led to loss of human lives due to failure in transporting accident victims, critical patients, medical, equipments and medicines on time. With the unending growth in vehicular traffic everywhere, the fusion of Internet of Things (IoT) and Vehicular Ad Hoc Network (VANET) has embarked as a promising platform for an Intelligent Traffic Management System (ITMS). In the literature, researchers have suggested various solutions, but without taking into consideration how to prioritize emergency vehicles when traffic system is collapsed due to hacking. This paper proposes a novel intelligent traffic management system for a smart city after considering the research gaps which are yet to be explored in the current scenario. Our proposed solution, not only navigates ambulances to find the shortest possible paths till their destination, but also presents a counter measure to get rid the problem of the traffic light system when it is hacked during its operation. To show the advantages of our proposed solution over already proposed solutions, a simulated environment (CupCarbon simulator) is used to model various scenarios which shows the actual roads and vehicle movements in the implementation. The observed results exhibit the superiority of our proposed solution over state-of-the-art solutions. doi: 10.5829/ije.2018.31.02b.11 1. INTRODUCTION 1 Rapid growth in the world population has resulted in tremendous demand for smart city initiatives; however, there are many issues for smart cities [1]. Government as well as private sectors has to contribute in finding sustainable solutions for these overwhelming issues. Monitoring traffic is a prominent issue in the current scenario. It has become a global issue with the escalation of vehicular density and population growth since last few decades. Road traffic has not only resulted in wastage of time, property damage or environmental pollution, but also caused loss of lives as accident victims. Sometimes medical equipment, critical patients and necessary medicines are not transported in time. Controlling of traffic with a traffic light is an integral part of any intelligent traffic management system. The two important aspects to be considered are green light duration and its sequence. Several traffic *Corresponding Author’s Email: virender.ranga@nitkkr.ac.in (V. Ranga) systems, practices fixed duration of light length and sequences which is desirable only for regular and stable traffic, but not for dynamic traffic situations. Most countries, at the current state of practice, decide the green light sequence without considering the emergency vehicles such as ambulances, police cars, fire engines, etc., thereby leaving emergency vehicles to wait and cause loss of lives and assets [2]. Additionally, vehicular population increases the “response time” of emergency vehicles which is defined as nothing but the period between the time whenever a call is received by an emergency service provider and the arrival time of an ambulance to an emergency site [2]. Reducing the response time by just one minute increases the survival rate of the patients with sudden cardiac arrest by 24% [2]. Taking these issues under consideration, we introduce a methodology in this paper to estimate the distance between an intersection and emergency vehicle through wireless technologies like, video surveillances and sensor devices deployed at strategic locations. A solution is proposed to reduce the travelling time by TECHNICAL NOTE