Traffic Control System has faced many issues, such as high waiting time, resulting in the emission of CO2 (carbon) gas, which results in environment degradation and the loss of crucial time for the emergency vehicles, which increases impatience in drivers, which could be one of the primary causes of increase in accidents. There is also a considerable delay in vehicles’ arrival time, particularly emergency vehicles that get stuck in the long queue. It is a matter of concern, as these vehicles are being categorized as priority vehicles, so their waiting time should be minimum. The current Traffic Control System does not use any specific algorithm to control the traffic for priority vehicles such as fire brigade, ambulance. These drawbacks can be resolved by replacing the existing Traffic Control System with a more intelligent Traffic Control System. In this work, we proposed an Intelligent Traffic Control System for Emergency Vehicles model (ITCSEV), which can identify the vehicles and separate them based on their types like “emergency,” “passenger.” It can change the duration and traffic signal accordingly. This model has been tested by us through a practical simulation using an open-source simulator, i.e., SUMO (Simulation of Urban MObility), on the map of India’s Gwalior city, which demonstrates the efficiency and reliability of the model.
Intelligent Traffic Control System for Emergency Vehicles
Lect. Notes in Networks, Syst.
12.09.2021
10 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch