The fast-paced growth of artificial intelligence applications provides unparalleled
opportunities to improve the efficiency of various systems. Such as the transportation sector …

In this study, the road traffic congestion of Dehradun city is evaluated from traffic flow
information using fuzzy techniques. Three different approaches namely Sugeno, Mamdani …

In a smart city roads would be equipped with the sensors for analyzing the traffic flow.
Hence, free flowing of road traffic is important for faster connectivity and transportation …

In recent years, traffic congestion prediction has led to a growing research area, especially
of machine learning of artificial intelligence (AI). With the introduction of big data by …

Noise pollution has been a global concern among the scientific community as it can cause
long term and short-term adverse effects on human health. Vehicular traffic is one of the …

Traffic congestion is a complex issue which most of metro cities are experiencing. The
degree of congestion on urban links is not always measured & treated uniformly as it is not …

With rapid population growth in cities, to allow full use of modern technology, transportation
networks need to be developed efficiently and sustainability. A significant problem in the …

Traffic congestion causes significant economic and social consequences. Instant detection
of vehicular traffic breakdown has a pivotal role in intelligent transportation engineering …

In recent years, with the rapid development of economy, more and more urban residents,
while owning their own motor vehicles, are also troubled by the traffic congestion caused by …

Although much research has been done over the decades on the formulation of statistical
regression models for road traffic relationships, they have been largely unsuitable due to the …