Efficient traffic flow is crucial for sustainable cities, as it directly impacts energy consumption,
pollution levels, and overall quality of life. The integration of superficial intelligence …

In a continuous data stream vehicular network environment, a Traffic Congestion Detection
Service (TCDS) receives many periodic information to update and discover road segments …

Many events such as large-scale activities and traffic accidents could cause an increase in
vehicle density in an area, which makes the evacuation of vehicles important. However, the …

Today, traffic is one of the biggest problems of urban management. There are two general
methods for traffic management, soft and hard methods. In the hard method, physical …

Traffic congestion detection method based on surveillance video is gradually widely used in
intelligent transportation systems (ITS). Due to complex challenges such as weather change …

Efficient urban traffic congestion management is paramount for ensuring smooth vehicular
flow, minimizing travel time, and reducing environmental pollution. In this context, utilizing …

Aiming at the problem of intersection signal control, a method of traffic phase combination
and signal timing optimization based on the improved K‐medoids algorithm is proposed …

With the acceleration of urbanisation, decreased vehicle prices and increased population in
many cities, traffic demand has been rapidly increasing in recent years. Urban road traffic …

Dynamic traffic management is necessary to reduce congestion levels and the wait time for
vehicles. In this paper, Deep Learning architecture is adopted to implement a dynamic traffic …

India is one of the world's most densely populated country, with more vehicles being used in
urban areas. The ability to follow or track individual vehicles as well as public transport …