Currently, autonomous vehicles, non-autonomous vehicles, and VIP (emergency)
autonomous cars are using intelligent road management techniques to interact with one …

Human posture detection allows the capture of the kinematic parameters of the human body,
which is important for many applications, such as assisted living, healthcare, physical …

Traffic prediction plays a vital role in the process of urban traffic management. Various traffic
prediction applications will include different traffic analysis parameters, such as traffic signal …

This study describes an applied and enhanced real-time vehicle-counting system that is an
integral part of intelligent transportation systems. The primary objective of this study was to …

Big data have been used widely in many areas, including the transportation industry. Using
various data sources, traffic states can be well estimated and further predicted to improve the …

Traffic flow forecasting is one of the most important use cases related to smart cities. In
addition to assisting traffic management authorities, traffic forecasting can help drivers to …

Short-term traffic state prediction has become an integral component of an advanced
traveler information system (ATIS) in intelligent transportation systems (ITS). Accurate …

In the current era, autonomous vehicles and non-autonomous vehicles are transforming and
adopting intelligent road management techniques to communicate with vehicles so that the …

The various demands from cellular users are increasing day by day. A tower can be selected
if the traffic through it at a specific time is predictable. Then a chosen set of issues can also …

Traditional accident prediction models have been mostly designed with statistical analysis
that finds and analyzes the causal relationships between traffic accidents and a variety of …