Smart cities have been developed over the past decade, and reducing traffic congestion has
been the top concern in smart city development. Short delays in communication between …

In present-day times, the number of vehicles has increased drastically, but in contrast, the
capabilities of our roads and transportation systems still remain underdeveloped and as a …

The concept of smart systems blessed with different technologies can enable many
algorithms used in Machine Learning (ML) and the world of the Internet of Things (IoT). In a …

Objective In the last few years, several techniques and models are used for retrieving
significant information from urban big data of smart cities. This research work aims at …

Traffic congestion is a great concern, especially in urban areas where the vehicles' number
on roads continues to intensify significantly against the slow development of road …

One of the main challenges in urban development faced by large cities is related to traffic
jam. Despite increasing efforts to maximize the vehicle flow in large cities, to provide greater …

The rapid growth in the number of vehicles has led to traffic congestion, pollution, and
delays in logistic transportation in metropolitan areas. IoT has been an emerging innovation …

By the dramatic growth of the population in cities requires the traffic systems to be designed
efficiently and sustainably by taking full advantage of modern-day technology. Dynamic …

Traffic congestion worldwide has led to loss of human lives due to failure in transporting
accident victims, critical patients, medical, equipments and medicines on time. With the …

Road traffic has been exponentially growing with surging people and vehicle population.
Road connectivity infrastructure has not been growing correspondingly and hence the …