Connected and autonomous vehicles (CAVs) are on the way to the field application. In the
beginning stage, there will be a mixed traffic flow, containing the regular human‐driven …

Real-time traffic speed estimation is a fundamental task for urban traffic management
centers and is often a critical element of Intelligent Transportation Systems (ITS). For this …

The knowledge of road traffic parameters is of crucial importance to ensure state-of-the-art
traffic services either in public or private transport. In our days, a plethora of road traffic data …

We develop a Kalman filter for predicting traffic flow at urban arterials based on data
obtained from connected vehicles. The proposed algorithm is computationally efficient and …

Traffic speed estimation is a fundamental task for traffic management centers and a critical
element of intelligent transportation systems. For this purpose, various sensors are used to …

With the advances in traffic sensor technology, more useful traffic information can be
generated directly or indirectly. This study introduces an innovative single-loop speed …

Conventional detection methods for intersection traffic flow heavily rely on fixed-location
inductive loop, video image processing, infared, and microwave radar detectors. The …

Traffic speed is one of the most important indicators for traffic control and management.
Unfortunately, speed cannot be measured directly from single inductance loops, the most …

Traffic data from single loop detectors are a dominant data source widely used in traffic
operation centers and traveler information systems. Speed estimation from single loop …

The length of vehicles is one of the most important parameters in traffic flow modeling and
traffic control in many aspects such as speed estimation using the outputs of single loop …