Kalman filtering method for real-time queue length estimation in a connected vehicle environment

Y Wang, Z Yao, Y Cheng, Y Jiang… - Transportation …, 2021 - journals.sagepub.com
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) …

Queue length estimation for signalized intersections under partially connected vehicle environment

L Wei, J Li, L Xu, L Gao, J Yang - Journal of Advanced …, 2022 - Wiley Online Library
Queue length is a crucial measurement of traffic signal control at urban intersections.
Conventional queue length estimation methods mostly still rely on fixed detectors. The …

Cycle-to-cycle queue length estimation from connected vehicles with filtering on primary parameters

G Comert, N Begashaw - International journal of transportation science and …, 2022 - Elsevier
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 of intersection traffic flow undera connected vehicles environment

Y Gu, P Lin, J Liu, B Ran, J Xu - CICTP 2015, 2015 - ascelibrary.org
Traffic state identification is of great importance for the analysis and optimization of traffic
management. Queue length of the traffic flow (QLTF) at intersections is a key parameter for …

A real-time queue length estimation method based on probe vehicles in CV environment

H Liu, W Liang, L Rai, K Teng, S Wang - IEEE Access, 2019 - ieeexplore.ieee.org
The real-time traffic status estimation in urban signalized intersections is highly valuable for
modern traffic control and management. This paper presents a real-time queue length …

A Kalman filter-based queue length estimation method with low-penetration mobile sensor data at signalized intersections

J Yin, J Sun, K Tang - Transportation Research Record, 2018 - journals.sagepub.com
Queue length estimation is of great importance for signal performance measures and signal
optimization. With the development of connected vehicle technology and mobile internet …

[HTML][HTML] Multivariate time-varying Kalman filter approach for cycle-based maximum queue length estimation

W Abewickrema, M Yildirimoglu, J Kim - Transportation research part C …, 2023 - Elsevier
Real-time queue length is a crucial information, increasingly needed for signal operation
and signal optimization purposes. This paper proposes a novel multivariate time-varying …

High time-resolution queue profile estimation at signalized intersections based on extended Kalman filtering

S Hu, Q Zhou, J Li, Y Wang, C Roncoli… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The dynamic spatiotemporal characteristics of queues at urban intersections are crucial to
traffic operation tasks such as signal performance measure and signal optimization. This …

Cycle-based queue length estimation for signalized intersections using sparse vehicle trajectory data

C Tan, J Yao, K Tang, J Sun - IEEE Transactions on Intelligent …, 2019 - ieeexplore.ieee.org
Intersection queue length estimation using high-resolution probe vehicle trajectory data has
received increasing attentions in recent years. Existing methods for cycle-based queue …

Queue length estimation based on probe vehicle data at signalized intersections

H Luo, M Deng, J Chen - Journal of advanced transportation, 2023 - Wiley Online Library
Queue length is one of the important indexes to evaluate the operation efficiency of
signalized intersection and also the key parameter of intersection signal control optimization …