Pratik Prakash , Aadarsh Singh , Aayush Parasrampuria , Gargi Sharma
International Journal of Electrical, Electronics and Computers (IJECC), Vol-6,Issue-5, September - October 2021, Pages 6-11, 10.22161/eec.65.2
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Article Info: Received: 20 Jul 2021; Accepted: 02 Sep 2021; Date of Publication: 14 Sep 2021
A smart traffic management is a wide topic of research. Many modifications can be made to make the urban traffic flow smoothly on the roads. The increasing utilization of private vehicles and public transportation due to advancement of technology causes hectic traffic complexities for the civilians across the globe. The problem of traffic congestion is an everyday problem for human resource and therefore hinders the growth of the country by affecting its productivity as well as economy. Moreover, the trafﬁc signaling systems have predetermined ﬁxed operational time which fails to manage the trafﬁc density changing with time and thus, long trafﬁc queues are formed at the road crossings resulting in increased pollution and waiting time. In this paper, we tried to provide solution to reduce the waiting time at road crossings while keeping in mind the importance of time of the citizens as well as the emergency service providers (such as EMS i.e. Emergency Medical Services, Fire and Rescue Services, etc.). The presented system in this paper is based on smart trafﬁc congestion control system that will automatically set the signal time based on the measured values of vehicle density on road lanes. However, the manual changes can also be made to traffic signals for efficient traffic management in case of emergencies. This paper presents an idea of traffic management using internet of things (IOT). The Internet of Things (IoT) refers to a system of internet-connected objects that are able to collect and transfer data over a wireless network without human intervention. This technology provides an effective communication between different signals and helps in collection of data thereby providing an IoT based smart traffic management system in terms of its automated tracking, monitoring and controlling of vehicles and its data processing.