Estimation models from connected vehicles often assume low level parameters such as
arrival rates and market penetration rates as known or estimate them in real-time. At low …

Queue length estimation is of great importance for measuring traffic signal performance and
optimizing traffic signal timing plans. With the development of connected vehicle (CV) …

Real-time vehicular queue length is an important parameter describing the temporal and
spatial state of a traffic stream. A queue is the direct outcome of bottlenecks or roadway …

This paper proposes a convex optimization based algorithm for queue profile estimation in a
connected vehicle environment, which can also be used for trajectory reconstruction, delay …

This paper develops estimators for market penetration level and arrival rate in finding queue
lengths from probe vehicles at isolated traffic intersections. Closed-form analytical …

Probe vehicle data are increasingly becoming more attractive for real-time system state
estimation in transportation networks. This paper presents analytical models for the real-time …

With the emergence of connected vehicle technology, the use of probe trajectory data to
estimate queue length has recently received considerable attention. Unlike data collected by …

This paper presents a method for queue length estimation from connected vehicles
equipped with range measurement sensors such as light detection and ranging, stereo …

As mobile traffic sensor technology gets more attention, mathematical models are being
developed that utilize this new data type in various intelligent transportation systems …

Queue length estimation is critical for traffic signal control and performance measures. With
the development of connected vehicle technologies and the popularization of ride-hailing …