Inefficient traffic control is pervasive in modern urban areas, which would exaggerate traffic
congestion as well as deteriorate mobility, fuel economy and safety. In this paper, we …

Traffic state estimation (TSE) refers to the process of the inference of traffic state variables
(ie, flow, density, speed and other equivalent variables) on road segments using partially …

Vehicles are currently being developed and sold with increasing levels of connectivity and
automation. As with all networked computing devices, increased connectivity often results in …

As intelligent automation and large-scale distributed monitoring and control systems
become more widespread, concerns are growing about the way these systems collect and …

Emerging systems such as smart grids or intelligent transportation systems often require end-
user applications to continuously send information to external data aggregators performing …

Just as it has irrevocably reshaped social life, the fast growth of smartphone ownership is
now beginning to revolutionize the driving experience and change how we think about …

Due to the increase in vehicle transit and congestion in road networks, providing information
about the state of the traffic to commuters has become a critical issue for Advanced Traveller …

There is increased interest in smart vehicles acting as both data consumers and producers
in smart cities. Vehicles can use smart city data for decision-making, such as dynamic …

Road traffic congestion can inevitably degrade road infrastructure and decrease travel
efficiency in urban traffic networks, which can be relieved by employing appropriate …

Location-based services (LBS) require users to continuously report their location to a
potentially untrusted server to obtain services based on their location, which can expose …