The cycle-based volume is critical for traffic state estimation and signal control optimization
at signalized intersections. Traditional volume estimation mainly depends on fixed detectors …

This paper proposes a framework to combine shockwave analysis (SA) with Bayesian
Network (BN) for traffic flow parameters estimation at signalized intersections using vehicle …

With the progress of information and sensing technologies, estimating vehicular queue
length at signalized intersections becomes feasible and has attracted considerable …

Queue length is one of the most important performance measures for signalized
intersections. Many methods for queue length estimation based on various data sources …

Queue length is a crucial measure of intersection performance. Probe vehicles (PVs) with
advanced sensors are capable of recording vehicle trajectories that can be used to estimate …

This paper focuses on traffic parameters estimation at signalized intersections based on a
framework combining shockwave analysis (SA) and Bayesian Network (BN) using vehicle …

How to estimate queue length in real-time at signalized intersection is a long-standing
problem. The problem gets even more difficult when signal links are congested. The …

With the growth in traffic sensing data, the measurement of levels of service such as queue
length at intersections in real time has been receiving considerable attention. This paper …

Cycle-based traffic volume estimation is important for the dynamic evaluation and
optimization of signal control schemes at intersections. With the development of intelligent …

Queue length estimation plays an important role in traffic signal control and performance
measures of signalized intersections. Traditionally, queue lengths are estimated by applying …