TIESTO: Tested Intelligent Systems For Traffic Operations

The paper describes real-time traffic problems and proposes a feasible solution to curb pollution due to traffic idling and congestion. The aim is to decrease wait times at traffic lights in turn decreasing pollution due to less traffic congestion. This would have the additional advantage of economic improvement due to curtailed fuel consumption.fuel loss is directly proportional to the idling time of vehicles in traffic junctions. The proposed model aims at reducing the idling time of any vehicle at traffic junctions and thereby significantly reducing the fuel loss incurred. This model would also prioritize passage of Emergency Service Vehicles. This is attained by implementing a self-adaptive traffic control switching mechanism according to a devised algorithm. The model uses RSSI values to calculate the vehicle density in each lane. A Unity Game Engine simulation is used to demonstrate the idea. A small scale physical representation of the same has been done as well.