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An Unscented Kalman Filter-Based Method for Reconstructing Vehicle Trajectories at Signalized Intersections
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Personalized semantic trajectory privacy preservation through trajectory reconstruction
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Kernel Regression for Vehicle Trajectory Reconstruction under Speed and Inter-vehicular Distance Constraints
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A critical evaluation of the Next Generation Simulation (NGSIM) vehicle trajectory dataset
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Two-dimensional vehicular movement modelling at intersections based on optimal control
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On the assessment of vehicle trajectory data accuracy and application to the Next Generation SIMulation (NGSIM) program data
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Implementing kinematic wave theory to reconstruct vehicle trajectories from fixed and probe sensor data
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Vehicle trajectory reconstruction for signalized intersections using mobile traffic sensors
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Reconstructing maximum likelihood trajectory of probe vehicles between sparse updates
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A new methodology for vehicle trajectory reconstruction based on wavelet analysis
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A copula-based approach for estimating the travel time reliability of urban arterial
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Probe data-driven travel time forecasting for urban expressways by matching similar spatiotemporal traffic patterns
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A generic data assimilation framework for vehicle trajectory reconstruction on signalized urban arterials using particle filters
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Traffic parameters estimation for signalized intersections based on combined shockwave analysis and Bayesian Network
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A tailored machine learning approach for urban transport network flow estimation
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Does traffic-related calibration of car-following models provide accurate estimations of vehicle emissions?
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Estimating travel times and vehicle trajectories on freeways using dual loop detectors
inferredcites →https://doi.org/10.1049/iet-its.2018.5195openalex-snapshot
Alternative approach for vehicle trajectory reconstruction under spatiotemporal side friction using lopsided network
inferredcites →https://doi.org/10.1080/13658816.2015.1049540openalex-snapshot
Trajectory reconstruction from mobile positioning data using cell-to-cell travel time information
inferredcites →https://doi.org/10.1080/21680566.2020.1781707openalex-snapshot
Vehicle trajectory reconstruction for signalized intersections: A hybrid approach integrating Kalman Filtering and variational theory
inferredcites →https://doi.org/10.1080/23249935.2018.1449032openalex-snapshot
Trajectory reconstruction using locally weighted regression: a new methodology to identify the optimum window size and polynomial order
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A Localization Based on Unscented Kalman Filter and Particle Filter Localization Algorithms
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Vehicle Trajectory Reconstruction on Urban Traffic Network Using Automatic License Plate Recognition Data
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Probabilistic model for estimating vehicle trajectories using sparse mobile sensor data
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Probabilistic model for vehicle trajectories reconstruction using sparse mobile sensor data on freeways
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VT-Lane: An Exploratory Study of an Ad-hoc Framework for Real-time Intersection Turn Count and Trajectory Reconstruction Using NEMA Phases-Based Virtual Traffic Lanes
inferredcites →https://doi.org/10.1109/tits.2014.2326331openalex-snapshot
Information Dissemination Delay in Vehicle-to-Vehicle Communication Networks in a Traffic Stream
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Modal Activity-Based Stochastic Model for Estimating Vehicle Trajectories from Sparse Mobile Sensor Data
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Cycle-Based End of Queue Estimation at Signalized Intersections Using Low-Penetration-Rate Vehicle Trajectories
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A Particle Filter-Based Approach for Vehicle Trajectory Reconstruction Using Sparse Probe Data
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Vehicle Re-identification for Lane-level Travel Time Estimations on Congested Urban Road Networks Using Video Images
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Enhancing Privacy and Accuracy in Probe Vehicle-Based Traffic Monitoring via Virtual Trip Lines
inferredcites →https://doi.org/10.1111/j.1467-8667.2009.00617.xopenalex-snapshot
A Robust and Efficient Method for Fusing Heterogeneous Data from Traffic Sensors on Freeways
inferredcites →https://doi.org/10.1155/2019/8469316openalex-snapshot
Extracting Origin-Destination with Vehicle Trajectory Data and Applying to Coordinated Ramp Metering
inferredcites →https://doi.org/10.1155/2019/9417471openalex-snapshot
Vehicle Trajectory Reconstruction for Signalized Intersections with Low-Frequency Floating Car Data
inferredcites →https://doi.org/10.1177/0361198118772956openalex-snapshot
Reconstructing Vehicle Trajectories to Support Travel Time Estimation
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Making NGSIM Data Usable for Studies on Traffic Flow Theory
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The New Trend of State Estimation: From Model-Driven to Hybrid-Driven Methods
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Physics Informed Deep Generative Model for Vehicle Trajectory Reconstruction at Arterial Intersections in Connected Vehicle Environment
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Evaluation of optimal trajectory smoothing techniques at unsignalized Y-Intersections using unmanned aerial vehicle dataset
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Physics informed deep generative model for vehicle trajectory reconstruction at arterial intersections in connected vehicle environment
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A full-sample longitudinal trajectory reconstruction framework for signalized intersection approach lanes in a vehicle-infrastructure cooperation environment
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Markov process-based particle filter for vehicle trajectory reconstruction at signalized intersections
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The Critical Scenario Extraction and Identification Method for ICV Testing
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Toward Autonomous Driving: Data-Model Integration for Trajectory Reconstruction and Driving Action Extraction
inferred← citeshttps://doi.org/10.1155/2023/2661136openalex-snapshot
An Acceleration Denoising Method Based on an Adaptive Kalman Filter for Trajectory in Merging Zones
inferred← citeshttps://doi.org/10.1155/2024/9437594openalex-snapshot
Classification and Prediction of Vehicle Lane‐Changing Crash Risk Levels Based on Video Trajectory Data
inferred← citeshttps://doi.org/10.1155/abb/2451501openalex-snapshot
Local Linear Wavelet Neural Network–Based Unscented Kalman Filter for Vehicle Collision Estimate Warning System and Ensuring Stable Vehicle‐to‐Infrastructure Communication
inferred← citeshttps://doi.org/10.3390/app152011291openalex-snapshot
On the Use of Machine Learning Methods for EV Battery Pack Data Forecast Applied to Reconstructed Dynamic Profiles
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Enhanced Path Travel Time Prediction via Guided Fusion of Heterogeneous Sensors Using Continuous-Time Dynamics
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