Accurate traffic state (ie, flow, speed, density, etc.) on an urban road network is important
information for urban traffic control and management strategies. However, due to the …

Real-time traffic state (eg, speed) prediction is an essential component for traffic control and
management in an urban road network. How to build an effective large-scale traffic state …

Planning effective routes and monitoring vehicle traffic are essential for creating sustainable
smart cities. Accurate speed prediction is a key component of these efforts, as it aids in …

Short-term traffic prediction is of great importance to the management of traffic congestion, a
pervasive and difficult-to-solve problem in many metropolises all over the world. However …

This paper proposes a privacy-preserving data fusion method for traffic state estimation
(TSE). Unlike existing works that assume all data sources to be accessible by a single …

Big data have been used widely in many areas, including the transportation industry. Using
various data sources, traffic states can be well estimated and further predicted to improve the …

In practice, most of the intelligent transportation systems provide average travel times of all
vehicles on selected paths in real time on a regular basis. However, path travel times of …

This study proposes a framework to classify traffic flow states. The framework is capable of
processing massive, high-density, and noise-contaminated data sets generated from …

Monitoring traffic states of urban road networks is essential to relieving traffic burdens and
designing traffic management strategies. However, most traffic state estimation methods are …

Automatic Vehicle Identification (AVI) technology has been widely used for real-time path
travel time estimation. For a study path equipped with AVI sensors at both ends, the …