A systematic review on urban road traffic congestion

U Jilani, M Asif, MYI Zia, M Rashid, S Shams… - Wireless Personal …, 2023 - Springer
The city's infrastructure is considered the backbone of any country's development process
and there are numerous factors that contribute to its growth. Among these factors, proper …

[HTML][HTML] Realtime wide-area vehicle trajectory tracking using millimeter-wave radar sensors and the open TJRD TS dataset

J Wang, T Fu, J Xue, C Li, H Song, W Xu… - International Journal of …, 2023 - Elsevier
This paper presented a real-time millimeter wave radar-based system for tracking vehicle
trajectories in a wide area (continuously along a roadway with essentially no length limit in …

Urban traffic imaging using millimeter-wave radar

B Yang, H Zhang, Y Chen, Y Zhou, Y Peng - Remote Sensing, 2022 - mdpi.com
Imaging technology enhances radar environment awareness. Imaging radar can provide
richer target information for traffic management systems than conventional traffic detection …

Urban traffic congestion alleviation system based on millimeter wave radar and improved probabilistic neural network

B Yang, H Zhang, M Du, A Wang… - IET Radar, Sonar & …, 2024 - Wiley Online Library
The millimeter‐wave radar sensor is widely used for urban traffic surveillance because of its
weather resistance and high detection accuracy. Methods such as fuzzy theory, pattern …

A two‐step abnormal data analysis and processing method for millimetre‐wave radar in traffic flow detection applications

H Liu, K Teng, L Rai, Y Zhang… - IET Intelligent Transport …, 2021 - Wiley Online Library
In a new application scenario where the millimetre‐wave radar is installed above the road
for detecting traffic flow in downward looking direction, the original data of the radar includes …

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 …

Event camera point cloud feature analysis and shadow removal for road traffic sensing

X Lu, X Mao, H Liu, X Meng, L Rai - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Event cameras have a wide range of applications in the field of traffic flow detection owing to
their ability to accurately identify moving targets while being insensitive to stationary targets …

An adaptive ellipse distance density peak fuzzy clustering algorithm based on the multi-target traffic radar

L Cao, X Zhang, T Wang, K Du, C Fu - Sensors, 2020 - mdpi.com
In the multi-target traffic radar scene, the clustering accuracy between vehicles with close
driving distance is relatively low. In response to this problem, this paper proposes a new …

Automated Lane‐Level Road Geometry Estimation Using Microscopic Trajectory Data

J Wang, C Li, T Fu, L Zhang… - Journal of advanced …, 2023 - Wiley Online Library
Vehicle trajectory data is in high demand for transportation research due to its rich detail.
Lane information is an important aspect of trajectory data, which is typically obtained using …

Traffic flow video image recognition and analysis based on multi-target tracking algorithm and deep learning

S Zou, H Chen, H Feng, G Xiao, Z Qin… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Traffic flow parameters are an important data support for the research and development of
several technologies in the intelligent transportation system. Therefore, accurate and real …