Recently, development in intelligent transportation systems (ITS) requires the input of
various kinds of data in real-time and from multiple sources, which imposes additional …

Proactive traffic safety management systems can monitor traffic conditions in real-time,
identify the formation of unsafe traffic dynamics, and implement suitable interventions to …

With the development of intelligent transportation system (ITS) and vehicle to X (V2X), the
connected vehicle is capable of sensing a great deal of useful traffic information, such as …

With the recent advances of the Internet of Things (IoT), and the increasing accessibility to
ubiquitous computing resources and mobile devices, the prevalence of rich media contents …

We propose a kinematic wave-based Deep Convolutional Neural Network (Deep CNN) to
estimate high-resolution traffic speed fields from sparse probe vehicle trajectories. We …

Vehicular congestion is directly impacting the efficiency of the transport sector. A wireless
sensor network for vehicular clients is used in Internet of Vehicles based solutions for traffic …

The development of the Internet of Things (IoT) has produced new innovative solutions, such
as smart cities, which enable humans to have a more efficient, convenient and smarter way …

Vehicular applications in smart cities, including assisted and autonomous driving, require
complex data processing and low-latency communication. An effective approach to address …

Road transportation is the largest and complex nonlinear entity of the traffic management
system. Accurate prediction of traffic-related information is necessary for an effective …

The vehicle location prediction based on their spatial and temporal information is an
important and difficult task in many applications. In the last few years, devices, such as …