The paper discusses the development of an IoT-based smart traffic system that utilizes real-
time data and machine learning algorithms to enhance traffic safety, reduce congestion, and …

In smart cities, the fast increase in automobiles has caused congestion, pollution, and
disruptions in the transportation of commodities. Each year, there are more fatalities and …

The major challenge in metro cities is to handle the vehicle traffic as well as pedestrian traffic
at major locations. Over a day nearly 20% time is spend in our work or personal time to over …

An improvised solution for the impact of IoT-enabled real-time traffic management on
emergency vehicle response times has been presented in this research. The study was …

Efficient traffic management poses a significant challenge in smart cities, requiring the
integration of diverse approaches. This paper presents an artificial intelligence framework …

A significant amount of research work carried out on traffic management systems, but
intelligent traffic monitoring is still an active research topic due to the emerging technologies …

Every country is now embracing the smart city (SC) concept with the goal of incorporating
cutting-edge technologies into every aspect of urban life. Maintaining traffic in cities is one of …

While big data analytics aids in the analysis of vast data sets, the Internet of Things is all
about data, devices, and connectivity. The Internet of Things (IoT) involves attaching real …

The escalating volume of traffic and the urgent need for enhanced road safety have
emerged as critical concerns for both citizens and authorities. In this context, the concept of …

Rising incidents of traffic congestion among increasing usage of vehicles has become high
concern in urban area. Internet of Things (IoT) is the technology to support the monitoring …