4.6 Article

ITSS: An Intelligent Traffic Signaling System Based on an IoT Infrastructure

期刊

ELECTRONICS
卷 12, 期 5, 页码 -

出版社

MDPI
DOI: 10.3390/electronics12051177

关键词

inductive loop; intelligent traffic; intelligent traffic signaling system (ITSS); Internet of Things; Netconvert; simulation of urban mobility (SUMO)

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In recent years, there has been a significant increase in the number of cars in urban areas, particularly in India. This has led to congested traffic systems during peak hours due to challenges such as overloaded vehicles, reckless driving, and disregard for road safety rules. To address this issue, this paper proposes an IoT-based Intelligent Traffic Signal System (ITSS) that uses inductive loops and a programmable micro-controller to determine traffic density. This system synchronizes the traffic light timer with real-time traffic density for smoother vehicle flow and also prioritizes emergency vehicles using infrared sensors. The presented solution improves traffic flow and reduces delays for travelers compared to fixed systems.
Recently, there has been a huge spike in the number of automobiles in the urban areas of many countries, particularly in India. The number of vehicles are increasing rapidly and with the existing infrastructure, the traffic systems stand still during peak hours. Some of the main challenges for traffic management are the movement of overloaded vehicles beyond their restricted zone and time, reckless driving, and overlooking road safety rules. This paper proposes an Internet of Things (IoT)-based real-time Intelligent Traffic Signal System (ITSS), which consists of inductive loops and a programmable micro-controller to determine traffic density. Inter-communication in the centralized control unit sets the timer of the traffic light and synchronizes with the traffic density in real-time for smooth mobility of vehicles with less delay. Additionally, to prioritize emergency vehicles over other vehicles in the same lane, a pre-emption mechanism has been integrated through infrared sensors. The result of traffic density determines the timer of the light post in real-time, which in result enhances the smooth flow of vehicles with reduced delay for travelers. Using its automatic on-demand traffic signaling system, the presented solution has advantages over fixed systems.

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