Automatic vehicle identification (AVI) can provide partial vehicle path data by matching the
vehicle license plate on the detected links. However, the matched samples will rapidly …

The origin–destination (OD) matrix and the vehicle trajectory data are critical to
transportation planning, design, and operation management. On the basis of the deployment …

Trajectory data collected from probe vehicles become increasingly important for urban traffic
operation and management. However, current data tend to be sparse in time and space due …

Accurate estimation of route flow is crucial to traffic control optimization. Existing route flow
estimation models are typically built upon strong assumptions on traveler route choice …

With the continuous expansion of transportation networks in the urbanization process,
monitoring network-wide traffic dynamics with the link resolution has become a significant …

With trajectory data, a complete microscopic and macroscopic picture of traffic flow
operations can be obtained. However, trajectory data are difficult to observe over large …

This paper proposes a dynamic vehicle count estimation method for signalized links using
license plate recognition (LPR) data considering the recognition errors. The framework …

Vehicle trajectory data are critical to urban active traffic management and simulation
applications. Automatic license plate recognition (ALPR) data can provide partial vehicle …

Origin-destination (OD) pattern estimation is a vital step for traffic simulation applications and
active urban traffic management. Many methods have been proposed to estimate OD …

This paper proposes a two-stage optimization model to determine the origin-destination
(OD) trip matrix and the heterogeneous sensor deployment strategy in an integrated manner …