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Emergency vehicles demand quick and safe passage as it aims at saving the life of a patient. But with rising bureaucracy and flaunting behavior of our leaders, the vehicles in which they travel in aspire for a green corridor. It is becoming a serious problem in our society and an optimal solution where normal traffic flow is least disrupted as well as emergency vehicles too could move quickly is highly desired. This research work proposes a framework for creating a dynamic real-time dedicated green corridor using Internet of Things (IoT) devices. The simulation results record the time taken for any vehicle to reach from source to destination during normal traffic flow and congestion hours. Later time is taken for an emergency vehicle to reach its destination when a green corridor is created and the impact of this on normal traffic flow is assessed. Finally, a dynamic real-time one hop and two-hop green corridor are created and its impact on general traffic movement is assessed. The results are able to establish that if an emergency vehicle is of very critical nature, one should go for a dedicated green corridor that reduces travel time by 2.76 times. If the emergency is not critical in nature, one can opt for the two-hop dynamic real-time green corridor. But, optimally if one demands the least disruption of normal traffic and at the same time creates a safer green corridor, results establish that one-hop dynamic green corridor is an optimal solution. In order to analyze the impact of various green corridors on the routes that intersect this corridor, simulation results are obtained for four different vehicles and the results are averaged. Only one intersection is considered in this simulation. With one hop dynamic real-time green corridor in consideration, the average travel time increases on an average by 129% as compared to normal traffic flow. It is maximum with a dedicated green corridor.

IoT Green Corridor is a distributed sensor network system, a working prototype of which has been designed in-house and using low-cost hardware for economically-viable implementation. This paper outlines the development of the prototype and describes its details. This proposed system combines the existing conventional traffic signal lights with networked-sensors across length and breadth of connected and usually-congested city roads. Being connected to the internet, the sensors are better-enabled and capable of synchronizing with each other for sharing localized traffic information including the presence of emergency vehicles like ambulances. Having been equipped with the situational awareness data, the sensor network in an IoT framework is capable of collective decision to manage a given set of the traffic signal lights in tandem to achieve the singular aim of providing smooth passage to the arriving ambulances or in general to any Emergency Vehicle (EMV). Every traffic-signal junction is to be retrofitted with the Green Corridor system prototype, which is required to sense the presence of an Emergency Vehicle (EMV) within a specified distance in the field of view of the sensors. Based on a positive identification of such vehicles in distress, the traffic flow is designed to quickly enable the EMV to cross the junction smoothly in least time as possible. In the absence of a system of this kind, a manual intervention would have to be made by the concerned agency or valuable golden hour time to save lives would be spent in the traffic junctions. Besides, the prototype communicates with the inter-connected adjacent sensor-network elements through the cloud network to initiate similar action at each of the traffic signals enroute the desired destination of the emergency vehicle.

Rapid development of metropolitan cities into smart cities and daily increased in number of vehicles on the roads causes increase in traffic maintenance challenges such as traffic congestion, accidents, dispatching of emergency vehicle and pollution. It will suffers people travel time, delay in response time of emergency vehicle such as ambulance, fire brigade, police etc., causes heavy loss or effects society in terms of wealth, emotions and security. The research work done in the area of Intelligent Transportation Systems and Traffic Management primarily focuses on determining effectively green light duration along with dispatching of emergency vehicle. In this research paper, the authors propose an algorithm which not only determines green light duration dynamically but also handles the emergency vehicle management efficiently. The objectives of the proposed algorithm are minimizing average waiting time. It always analysis the traffic situation at traffic intersection, along with continuous monitoring of emergency vehicle arrival at different lanes causes to optimize the waiting time of vehicle in lanes. It also deals with the deadlock and starvation condition, due to arrival of emergency vehicle in repeated interval of time in traffic intersection. The security level of emergency vehicle is in consideration during dispatching that assigned and verified by authorities to preserve security measures and society values. Here, the source of input on dynamic traffic condition is collected through Wireless Sensor Networks technology.