<p>Precise and appropriate traffic related data allows travellers to choose suitable travelling modes, travelling paths, and departure time, which is crucial for the success of Intelligent Transportation System (ITS). With the growth of vehicles, the rate of pollution and consumption of fuel has increased, it also creates traffic congestions. For the recent years there has been a rapid growth in technology, which can be explored to solve traffic issues. However, depending upon the available technologies each countries ITS research area may be different. The objective of this literature review is to integrate ITS with internet of things and it also discusses the prospect of clustering, controller system, location identification and resource privacy in ITS.</p>

The road traffic was increasing at an alarming rate for the past few years due to the vast number of vehicles on the road. It resulted in traffic chaos, high fuel consumption, wastage of valuable time on road and increase in air pollution. Traditional traffic system works based on fixed green light sequences, therefore it does not consider emergency vehicles in account. Due to this, emergency vehicles are getting delayed in traffic signals and resulted in chaos. This paper recommends a novel approach using LoRaWRP that provide congestion free route to the destination. The algorithm was framed in such a manner that it could be effective in maintaining traffic through communication among vehicles and vehicles (OBUs) to the Roadside Unit (RSU). The RSUs will generate possible routes and control the traffic signals within the accessible limit, if any emergency situation occurs. In proposed system, the RSUs will track active location of emergency vehicles and manages the traffic signals accordingly to provide hassle free movements at traffic junctions.