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 …

[HTML][HTML] 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 …

A method of vehicle trajectory restoration based on Kalman Filter

J Sun, X Sun, Z Zhan, J Zhou - 2022 IEEE 8th International …, 2022 - ieeexplore.ieee.org
We propose a method for vehicle trajectory restoration in the field of intelligent
transportation. We have a large number of data from Internet of Vehicle (IoV), including all …

Research on Correcting The Deviation of Track Inspection Car Vehicle Mileage Data Based on Vehicle Dynamic Model Assisted Strapdown Inertial Navigation System

Y Bai, Z Huang, W Li, Y Xiao, S Fang… - 2022 7th International …, 2022 - ieeexplore.ieee.org
In recent years, modern trams have developed rapidly. In order to ensure the daily operation
of modern trams, we need to use rail inspection vehicles to detect the track conditions of the …

Improvement on Vehicle Trajectory Reconstruction: Using Geometric Road Network (GRN)

A Chomputawat, W Chatwiriya… - Proceedings of the 2018 …, 2018 - dl.acm.org
This paper presents the technique using geometric road network (GRN) to improve data
fusion method for vehicle trajectory analysis and reconstruction. The experiment used two …

Traj2Traj: A road network constrained spatiotemporal interpolation model for traffic trajectory restoration

L Liao, Y Lin, W Li, F Zou, L Luo - Transactions in GIS, 2023 - Wiley Online Library
In transportation, the trajectory data generated by various mobile vehicles equipped with
GPS modules are essential for traffic information mining. However, collecting trajectory data …

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 …

A method of Trajectory Restoration at Intersection

K Zheng, X Song, D Zhu - … Computing Electronics and Control), 2015 - telkomnika.uad.ac.id
Floating car data (FCD) is vechiel's position trace that is comes from Global Positioning
System receivers. collected at the discrete time. FCD contains much information of traffic and …

A map matching based framework to reconstruct vehicular trajectories from gps datasets

RS de Sousa, A Boukerche… - ICC 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
This paper proposes a new framework to reconstruct vehicle trajectories from GPS datasets.
GPS-embedded vehicles generate massive vehicular trajectory data that are crucial for …

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 …