Road-network traffic monitoring on city-scale is critical for a wide range of applications, such
as traffic forecasting, congestion identification, traffic safety, and urban planning, etc. Despite …

Data volume grows explosively with the proliferation of powerful smartphones and
innovative mobile applications. The ability to accurately and extensively monitor and …

Urban traffic sensing has been investigated extensively by different real-time sensing
approaches due to important applications such as navigation and emergency services …

The constant increase in the number of accidents and traffic jams negatively impacts several
areas, including the economy, environment, and health. Since most monitoring systems …

Real-time road traffic monitoring is widely considered to be a promising traffic management
approach in urban environments. In the smart cities scenario, traffic trajectory sensor data …

Mobile cellular networks can serve as ubiquitous sensors for physical mobility. We propose
a method to infer vehicle travel times on highways and to detect road congestion in real …

Understanding the patterns of mobile data consumption is extremely valuable to reveal
human activities and ecology in urban areas. This task is nontrivial in terms of three …

The advances in mobile computing and social networking services enable people to probe
the dynamics of a city. In this paper, we address the problem of detecting and describing …

Background. Real time urban traffic information is critical to wide populations living in the city
but undergoes significant spatial and temporal variation especially in the urban areas and …

Traffic density is one of the fundamental traffic variables used in modeling road traffic
dynamics. It measures how packed the vehicles are on the observed road space. Typically …