Travel times are key statistics for traffic performance, policy, and management evaluation
purposes. Estimating travel times from local traffic speeds collected with loops or other …

Current or historic traffic states are essential input to advanced traveler information, dynamic
traffic management, and model predictive control systems. As traffic states are usually not …

Smart cities, participatory sensing as well as location data available in communication
systems and social networks generates a vast amount of heterogeneous mobility data that …

Freeway traffic state estimation is crucial for dynamic traffic management (DTM), Advanced
Traveler Information Systems (ATIS) and highway performance analyses. Raw data …

After I had finished my diploma thesis in computer science in 2008, I had absolutely no intent
to stay in academia and spend days sitting in front of a computer to solve abstract problems …

Traffic state estimation is important input to traffic information and traffic management
systems. A wide variety of traffic state estimation methods exist, either data-driven or model …

This study overviews the scientific and practical results obtained within the advanced traffic
monitoring (ATMO) project (www. atmo. tudelft. nl) from its inception in 2004 until its final …

The number and heterogeneity of traffic sensors are steadily increasing. A large part of the
emerging sensors are measuring point speeds or travel times and in order to make efficient …

Congestion on urban transportation networks around the world is frequently encountered
and its economic and environmental footprint cannot be ignored. One of the solutions used …

This thesis deals with the optimal use of existing models that predict certain phenomena of
the road traffic system. Such models are extensively used in Advanced Traffic Information …