Creating a Dynamic Real Time Green Corridor and Assessing its Impact on Normal Traffic Flow

Abstract

Abstract 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.