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 …

Monitoring the “physics” of cyber-physical systems to detect attacks is a growing area of
research. In its basic form, a security monitor creates time-series models of sensor readings …

Existing traffic flow forecasting approaches by deep learning models achieve excellent
success based on a large volume of data sets gathered by governments and organizations …

Device-to-device (D2D) communication presents a new paradigm in mobile networking to
facilitate data exchange between physically proximate devices. The development of D2D is …

Safety-critical applications in cooperative vehicular networks require authentication of nodes
and messages. Yet, privacy of individual vehicles and drivers must be maintained …

Recently connected vehicle (CV) technology has received significant attention thanks to
active pilot deployments supported by the US Department of Transportation (USDOT). At …

We consider the problem of monitoring road and traffic conditions in a city. Prior work in this
area has required the deployment of dedicated sensors on vehicles and/or on the roadside …

The growing need of the driving public for accurate traffic information has spurred the
deployment of large scale dedicated monitoring infrastructure systems, which mainly consist …

In this paper, we combine the most complete record of daily mobility, based on large-scale
mobile phone data, with detailed Geographic Information System (GIS) data, uncovering …

Traffic delays and congestion are a major source of inefficiency, wasted fuel, and commuter
frustration. Measuring and localizing these delays, and routing users around them, is an …