The widespread use of mobile devices and sensors has motivated data-driven applications
that can leverage the power of big data to benefit many aspects of our daily life, such as …

Video analytics with deep learning techniques has generated immense interest in academia
and industry, captivating minds with its transformative potential. Deep learning techniques …

Edge computing, which is an emerging concept to complement cloud computing, processes
data closer to where the data is generated at the network edge. Transportation system is a …

Computer vision applications in intelligent transportation systems (ITS) and autonomous
driving (AD) have gravitated towards deep neural network architectures in recent years …

This paper proposes a novel event-driven architecture for enhancing edge-based vehicular
systems within smart transportation. Leveraging the inherent real-time, scalable, and fault …

In the application domain of fleet management and driver monitoring, it is very challenging to
obtain relevant driving events and activities from dashcam footage while minimizing the …

Exponential population growth and urbanisation pose potential challenges to mobility,
governance, well-being, the environment, and the safety of modern cities. This demands …

To conclude our study of the traffic conditions generated by commuters of the eastern contra
costa county to the western counties, firstly we will focus on the route options that these …

The unprecedented urbanization and the staggering development of modern information
and communication technologies (ICT) demonstrate that the concept of Smart City is …