Automatic Traffic Clearance during Emergency
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Emergency Vehicle plays an important role when there is emergency situation in the area. And it is necessary to reach destination as soon as possible to save lives. Preemption techniques for emergency vehicles in high volume traffic were examined and it was found out that there is no tool for signal controller for Emergency Vehicle preemption. So the goal was to design signal controller which helps Emergency Vehicle to get green light throughout its travel time. This thesis solves the problem of selecting appropriate preemption technique and designing algorithm for preemption of Emergency Vehicle in high traffic volumes. Tool was created using PTV VISSIM for optimized traffic signal controller. Results can be saved as a text file which can be imported to excel for measurements and plotting graph values. The tool was tested providing different road and environment conditions and results were collected. The average travel time of Emergency Vehicle in network is improved up to 2 seconds per signal using optimized traffic signals. In this thesis, Emergency vehicles can reach their final stop 8.1 seconds early using this setup. As in emergency situations every second counts so 2 seconds per traffic light is a huge improvement and it means, a lot of time can be saved by implementing this method in normal traffic on roads. Furthermore results were collected for total travel time, queue length and queue counter, speed and acceleration of vehicles in network, delay and stop time of vehicles. The tool was tested for challenging environment like peak road traffic, congestion at intersection and it succeeded in finding the solution for preemption of Emergency Vehicle.