The rapid increase in the number of vehicles has become a major problem associated with
traffic management. To ameliorate the traffic efficiency and minimisation of mess, the traffic …

In recent years, there has been a paradigm shift in Internet of Things (IoT) from centralized
cloud computing to edge computing (or fog computing). Developments in ICT have resulted …

In cities, where the number of vehicles continuously increases faster than the available traffic
infrastructure to support them, congestion is a difficult issue to deal with and it becomes even …

Edge computing has become popular in the last decade and will advance in future to
support real-time actionable analytics at the devices. One of the fundamental problems for …

As a potential solution to relieve traffic congestions and help build a more safe traffic system,
traffic flow prediction methods are given much attention in recent years. In previous studies …

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

Services that aim to make the current transportation system more secure, sustainable, and
efficient constitute the Traffic Management Systems (TMS). Vehicular Ad hoc Networks …

Vehicular traffic re-routing is the key to provide better traffic mobility. However, taking into
account just traffic-related information to recommend better routes for each vehicle is far from …

Exploring data connection information from vehicle-to-vehicle (V2V) and vehicle-to-
infrastructure (V2I) communications using advanced machine learning approaches, an …

Recently, many cities are facing challenging mobility and safety issues. The former is
commonly related to traffic congestion, as a consequence of uncontrolled population growth …