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 …

Traffic state estimation is a challenging problem for the transportation community due to the
limited deployment of sensing infrastructure. However, recent trends in the mobile phone …

In recent years, rapid advances in information technology have led to various data collection
systems which are enriching the sources of empirical data for use in transport systems …

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 …

Real-data testing results of a real-time nonlinear freeway traffic state estimator are presented
with a particular focus on its adaptive features. The pursued general approach to the real …

Benefitting from the advances in sensor nets, wireless communication, and embedded
systems, the cyber-physical system (CPS) has been implemented in many practical areas …

'Virtualized traffic'reconstructs and displays continuous traffic flows from discrete spatio-
temporal traffic sensor data or procedurally generated control input to enhance a sense of …

Large-scale traffic systems require techniques that are able to 1) deal with high amounts of
data and heterogenous data coming from different types of sensors, 2) provide robustness in …

An inverse modeling algorithm is developed to reconstruct the state of traffic (velocity field)
on highways from GPS measurements gathered from mobile phones traveling on-board …

Real-time traffic flow estimation is important for online traffic control and management. The
traffic state estimator optimally matches traffic measurements from detectors with traffic flow …