A state‐of‐the‐art review of flow observability, estimation, and prediction problems in traffic
networks is performed. Since mathematical optimization provides a general framework for all …

Traffic management and control applications require comprehensive knowledge of traffic
flow data. Typically, such information is gathered using traffic sensors, which have two basic …

Timely and accurate traffic speed prediction has gained increasing importance for urban
traffic management and hel** one to make advisable travel decision. However, the …

The practice of estimating origin–destination (OD) demand usually requires large-scale
travel surveys. To reduce the cost and time spent on surveys, individual trajectory data …

In this study, we present exact and heuristics algorithms for a traffic sensors location problem
called the screen line problem. It is a problem of how to locate traffic sensors on a …

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 …

Timely and accurate large-scale traffic prediction has gained increasing importance for traffic
management. However, it is a challenging task due to the high nonlinearity of traffic flow and …

Origin–destination (OD) matrices serve as a basis for travel demand modelling. Traditionally,
they are derived from travel surveys that collect detailed trip information but with several …

For alleviating arterial congestion, most control strategies provide progression for through
and turning traffic. A prerequisite input is the arterial origin–destination (OD) flow pattern …

Traffic flow data are a significant component of most intelligent transportation systems (ITS).
Complete traffic flow data are required for most ITS applications, but providing traffic sensors …