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 …

NGSIM vehicle trajectory reconstruction method based on wavelet analysis.

Y Gao, J Fu, W Feng, K Yang - Advances in Transportation …, 2024 - search.ebscohost.com
Abstract The Next Generation Simulation (NGSIM) vehicle trajectory dataset is a significant
public dataset in the field of transportation. However, the presence of outliers in the dataset …

A new methodology for vehicle trajectory reconstruction based on wavelet analysis

MR Fard, AS Mohaymany, M Shahri - Transportation Research Part C …, 2017 - Elsevier
Vehicle trajectories with high spatial and temporal resolution are known as the most ideal
source of data for developing innovative microscopic traffic models. Aside from the method …

Vehicle trajectory reconstruction from global position system data with long short-term memory neural network

C Zhang, W Wang - 2020 International Conference on Urban …, 2020 - ieeexplore.ieee.org
Vehicle trajectory contains massive spatial-temporal information of traffic flow, which is of
great significance for the comprehensive deconstruction of urban traffic network. Vehicles …

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 interpolation based on ensemble transfer regression

J Xiao, Z Xiao, D Wang, V Havyarimana… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Vehicle trajectory collection usually faces challenges such as inaccurate and incomplete
trajectory data, mainly due to missing trajectories caused by Global Navigation Satellite …

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 restoration based on vondrak filtering and cubic spline interpolation

C Sun, C Wu, D Chu, L Xie, L Liu, H Li - CICTP 2016, 2016 - ascelibrary.org
Vehicle trajectory records the vehicle location and time sequence, which is significant for the
travel state analysis and road accidents forecast. In order to repair the fault data of vehicle …

Vehicle trajectory reconstruction incorporating probe and fixed sensor data

Y Deng, Q Cao, G Ren, J Ma, S Zhu - Journal of transportation …, 2023 - ascelibrary.org
Trajectory estimation is essential for obtaining a complete picture of traffic flow with limited
and continuously detected traffic data, which are helpful in evaluating transportation …

Vehicle Path Reconstruction Using Automatic Vehicle Identification Data: A Bi-Directional Long Short-Term Memory-Based Approach

J Bian, P Chen - 2023 IEEE 26th International Conference on …, 2023 - ieeexplore.ieee.org
Vehicle path reconstruction plays an important role in transportation field, which helps
estimate traffic flow and predict traffic congestion, etc. However, existing methods resort to …