Abstract In an Advanced Traveler Information System (ATIS), sensors are often used to
monitor and obtain traffic information on a real-time basis. Knowing that traffic sensors cover …

Traffic state estimation (TSE) is used for real-time estimation of the traffic characteristics
(such as flow rate, flow speed, and flow density) of each link in a transportation network …

Modern traffic control and management systems in urban networks require real-time
estimation of the traffic states. In this paper, a novel approach for modeling traffic flow in …

The ability to observe flow patterns and performance characteristics of dynamic
transportation systems remains an important challenge for transportation agencies …

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 …

Motivated by the generalized‐inversion method, the authors offer a cost‐effective procedure
to derive origin‐destination (O‐D) information from a readily available set of data: link traffic …

ABSTRACT 1 Traffic prediction is critical to success of Intelligent Transportation Systems
(ITS). Predicting 2 traffic on an urban traffic network using spatio-temporal models has …

The rapid development of traffic theory and information technology has provided diversified
and large-scale traffic data resources for traffic research and urban traffic management. At …

Traffic prediction is critical for the success of intelligent transportation systems (ITS).
However, most spatio-temporal models suffer from high mathematical complexity and low …

Traffic forecasting models rely on data that needs to be sensed, processed, and stored. This
requires the deployment and maintenance of traffic sensing infrastructure, often leading to …