An Unscented Kalman Filter‐Based Method for Reconstructing Vehicle Trajectories at Signalized Intersections

J Mu, Y Han, C Zhang, J Yao… - Journal of advanced …, 2021 - Wiley Online Library
On‐board data of detected vehicles play a critical role in the management of urban road
traffic operation and the estimation of traffic status. Unfortunately, due to limitations of …

Vehicle trajectory reconstruction for intersections: an integrated wavelet transform and Savitzky-Golay filter approach

J Zhao, X Yang, C Zhang - Transportmetrica A: transport science, 2024 - Taylor & Francis
Reconstructing vehicle trajectories is an essential step in obtaining high-precision vehicle
trajectory data owing to observation errors. Although considerable efforts have been made …

Vehicle trajectory reconstruction at signalized intersections under connected and automated vehicle environment

X Chen, J Yin, K Tang, Y Tian… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Vehicle trajectories can provide a clear picture of traffic flow, which facilitates traffic state
estimation and signal control optimization at intersections. Connected and Automated …

An Acceleration Denoising Method Based on an Adaptive Kalman Filter for Trajectory in Merging Zones

Q Chen, S Zhu, J Wu, H Chang… - Journal of Advanced …, 2023 - Wiley Online Library
Vehicle trajectory data can reveal naturalistic driving behaviour trends. However, owing to
measurement and processing errors, the trajectory data extracted from videos often contain …

A particle filter-based approach for vehicle trajectory reconstruction using sparse probe data

L Wei, Y Wang, P Chen - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
Trajectory data collected from probe vehicles become increasingly important for urban traffic
operation and management. However, current data tend to be sparse in time and space due …

Vehicle trajectory reconstruction for signalized intersections with low‐frequency floating car data

H Wang, C Gu, WY Ochieng - Journal of Advanced …, 2019 - Wiley Online Library
Floating car data are beneficial in estimating traffic conditions in wide areas and are playing
an increasing role in traffic surveillance. However, widespread application is limited by low …

Vehicle trajectory reconstruction for signalized intersections: A hybrid approach integrating Kalman Filtering and variational theory

P Chen, L Wei, F Meng, N Zheng - Transportmetrica B: transport …, 2021 - Taylor & Francis
Trajectory data provide a rich source of information on spatial and temporal speed
fluctuations of individual vehicles. To assemble a complete picture of traffic operations …

Vehicle Trajectory Reconstruction Using Lagrange-Interpolation-Based Framework

J Wang, Y Liang, J Tang, Z Wu - Applied Sciences, 2024 - mdpi.com
Featured Application This research contributes to the development of a technological
method to obtain highly accurate vehicle trajectory data. The reconstructed trajectory data …

Traffic state estimation using small imaging satellites and connected vehicles

T Seo, T Kusakabe - Transportation research procedia, 2018 - Elsevier
Small imaging satellites (SISs), which has attracted attention in remote sensing field
recently, would provide a novel type of data for traffic state estimation (TSE): that is, spatial …

A generic data assimilation framework for vehicle trajectory reconstruction on signalized urban arterials using particle filters

X Xie, H van Lint, A Verbraeck - Transportation research part C: emerging …, 2018 - Elsevier
With trajectory data, a complete microscopic and macroscopic picture of traffic flow
operations can be obtained. However, trajectory data are difficult to observe over large …