On the public citation graph
Application of Naturalistic Driving Data to Modeling of Driver Car-Following Behavior
0 signed · 85 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/0191-2615(81)90037-0openalex-snapshot
A behavioural car-following model for computer simulation
inferredcites →https://doi.org/10.1016/s0191-2615(01)00046-7openalex-snapshot
Structural equation modeling for travel behavior research
inferredcites →https://doi.org/10.1016/s0965-8564(02)00003-4openalex-snapshot
Comparison and calibration of FRESIM and INTEGRATION steady-state car-following behavior
inferredcites →https://doi.org/10.1016/s1369-8478(00)00005-xopenalex-snapshot
Car-following: a historical review
inferredcites →https://doi.org/10.1063/1.1721265openalex-snapshot
An Operational Analysis of Traffic Dynamics
inferredcites →https://doi.org/10.1093/imamat/66.5.509openalex-snapshot
An analysis of Gipps's car-following model of highway traffic
inferredcites →https://doi.org/10.1103/physreve.62.1805openalex-snapshot
Congested traffic states in empirical observations and microscopic simulations
inferredcites →https://doi.org/10.1109/tits.2005.853705openalex-snapshot
Comparative Evaluation of Microscopic Car-Following Behavior
inferredcites →https://doi.org/10.1287/opre.12.6.913openalex-snapshot
Analysis of Experiments on Single-Lane Bus Flow
inferredcites →https://doi.org/10.1287/opre.6.2.165openalex-snapshot
Traffic Dynamics: Studies in Car Following
inferredcites →https://doi.org/10.1287/trsc.1090.0297openalex-snapshot
Calibrating Steady-State Traffic Stream and Car-Following Models Using Loop Detector Data
inferredcites →https://doi.org/10.3141/1883-05openalex-snapshot
Vehicle Dynamics Model for Estimating Maximum Light-Duty Vehicle Acceleration Levels
inferredcites →https://doi.org/10.3141/1934-06openalex-snapshot
Analysis and Comparison of Microscopic Traffic Flow Models with Real Traffic Microscopic Data
inferredcites →https://doi.org/10.3141/1999-13openalex-snapshot
Calibration Procedure for Gipps Car-Following Model
inferredcites →https://doi.org/10.3141/2124-11openalex-snapshot
Procedure for Calibrating Gipps Car-Following Model
inferredcites →https://doi.org/10.3141/2260-16openalex-snapshot
Empirical Study of Impact of Icy Roadway Surface Condition on Driver Car-Following Behavior
inferredcites →https://doi.org/10.3328/tl.2009.01.02.95-110openalex-snapshot
A simplified behavioral vehicle longitudinal motion model
inferredcites →https://doi.org/10.3328/tl.2009.01.03.227-244openalex-snapshot
Validation of Van Aerde's simplified steadystate car-following and traffic stream model
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4094751openalex-extracted
Evaluation Method of Naturalistic Driving Behavior for Shared-Electrical Vehicle
inferred← citeshttps://doi.org/10.1007/978-3-030-89170-1_13openalex-snapshot
The Fadhloun-Rakha Car-Following Model: A Novel Formulation Capturing Driver, Vehicle, Roadway, and Weather Variables
inferred← citeshttps://doi.org/10.1007/978-3-319-41682-3_20openalex-snapshot
Exploration of the SHRP 2 NDS: Development of a Distracted Driving Prediction Model
inferred← citeshttps://doi.org/10.1016/j.aap.2018.12.005openalex-snapshot
A hierarchical machine learning classification approach for secondary task identification from observed driving behavior data
inferred← citeshttps://doi.org/10.1016/j.aap.2020.105908openalex-snapshot
Analyzing driver behavior under naturalistic driving conditions: A review
inferred← citeshttps://doi.org/10.1016/j.aap.2022.106854openalex-snapshot
How do the type and duration of distraction affect speed selection and crash risk? An evaluation using naturalistic driving data
inferred← citeshttps://doi.org/10.1016/j.aap.2023.107155openalex-snapshot
Application of naturalistic driving data: A systematic review and bibliometric analysis
inferred← citeshttps://doi.org/10.1016/j.aap.2025.108253openalex-snapshot
State-of-the-art review on sustainable driving behavior: trade-offs between road safety, fuel consumption and emissions
inferred← citeshttps://doi.org/10.1016/j.ijtst.2019.05.004openalex-snapshot
A novel vehicle dynamics and human behavior car-following model: Model development and preliminary testing
inferred← citeshttps://doi.org/10.1016/j.ssci.2018.09.009openalex-snapshot
Lane change safety assessment of coaches in naturalistic driving state
inferred← citeshttps://doi.org/10.1016/j.trc.2016.09.001openalex-snapshot
Collecting ambient vehicle trajectories from an instrumented probe vehicle
inferred← citeshttps://doi.org/10.1016/j.trc.2018.06.009openalex-snapshot
Modeling car-following behavior on urban expressways in Shanghai: A naturalistic driving study
inferred← citeshttps://doi.org/10.1016/j.trc.2019.07.024openalex-snapshot
Quantifying what goes unseen in instrumented and autonomous vehicle perception sensor data – A case study
inferred← citeshttps://doi.org/10.1016/j.trc.2019.12.015openalex-snapshot
Impact on car following behavior of a forward collision warning system with headway monitoring
inferred← citeshttps://doi.org/10.1016/j.trc.2020.02.016openalex-snapshot
Trajectory data-based traffic flow studies: A revisit
inferred← citeshttps://doi.org/10.1016/j.trc.2021.103165openalex-snapshot
About calibration of car-following dynamics of automated and human-driven vehicles: Methodology, guidelines and codes
inferred← citeshttps://doi.org/10.1016/j.trc.2024.104931openalex-snapshot
Dynamic characteristics of commercial Adaptive Cruise Control across driving situations: Response time, string stability, and asymmetric behavior
inferred← citeshttps://doi.org/10.1016/j.trc.2024.104946openalex-snapshot
Developing and validating an adaptive multi-layer vehicle trajectory reconstruction method for outlier removal
inferred← citeshttps://doi.org/10.1016/j.trc.2025.105256openalex-snapshot
Adaptive safety performance testing for autonomous vehicles with adaptive importance sampling
inferred← citeshttps://doi.org/10.1016/j.trc.2026.105671openalex-snapshot
Investigating platoon formation and retention using reduced-scale mobile robots with controllers based on established car-following models
inferred← citeshttps://doi.org/10.1016/j.trd.2017.06.030openalex-snapshot
Validation of the Rakha-Pasumarthy-Adjerid car-following model for vehicle fuel consumption and emission estimation applications
inferred← citeshttps://doi.org/10.1016/j.trf.2016.06.017openalex-snapshot
The effect of fatigue driving on car following behavior
inferred← citeshttps://doi.org/10.1016/j.trf.2018.08.023openalex-snapshot
Evaluation of weather-related freeway car-following behavior using the SHRP2 naturalistic driving study database
inferred← citeshttps://doi.org/10.1016/j.trf.2021.12.017openalex-snapshot
A data–information–knowledge cycle for modeling driving behavior
inferred← citeshttps://doi.org/10.1038/s41467-021-21007-8openalex-snapshot
Intelligent driving intelligence test for autonomous vehicles with naturalistic and adversarial environment
inferred← citeshttps://doi.org/10.1061/jtepbs.0000584openalex-snapshot
Modeling Car-Following Behavior on Freeways Considering Driving Style
inferred← citeshttps://doi.org/10.1061/jtepbs.0000745openalex-snapshot
Calibrating Car-Following Models on Urban Streets Using Naturalistic Driving Data
inferred← citeshttps://doi.org/10.1080/23249935.2022.2035846openalex-snapshot
Modelling personalised car-following behaviour: a memory-based deep reinforcement learning approach
inferred← citeshttps://doi.org/10.1080/23249935.2022.2048917openalex-snapshot
Improving car-following model to capture unobserved driver heterogeneity and following distance features in fog condition
inferred← citeshttps://doi.org/10.1088/1674-1056/acaa2fopenalex-snapshot
Modeling differential car-following behavior under normal and rainy conditions: A memory-based deep learning method with attention mechanism
inferred← citeshttps://doi.org/10.1109/icra55743.2025.11127383openalex-snapshot
Discrete Contrastive Learning for Diffusion Policies in Autonomous Driving
inferred← citeshttps://doi.org/10.1109/ictis.2019.8883707openalex-snapshot
Simulating Car-following Behavior for Heteregeneous Drivers: the Need for Driver Specific Model Parameters
inferred← citeshttps://doi.org/10.1109/itsc.2015.149openalex-snapshot
Measurement and Analysis of Heterogenous Vehicle Following Behavior on Urban Freeways: Time Headways and Standstill Distances
inferred← citeshttps://doi.org/10.1109/itsc.2018.8569688openalex-snapshot
Radar-Vision Algorithms to Process the Trajectory-Level Driving Data in the SHRP2 Naturalistic Driving Study
inferred← citeshttps://doi.org/10.1109/ivs.2018.8500411openalex-snapshot
The Relationship between Different Safety Indicators in Car-following Situations
inferred← citeshttps://doi.org/10.1109/tits.2015.2464792openalex-snapshot
Development and Testing of a 3G/LTE Adaptive Data Collection System in Vehicular Networks
inferred← citeshttps://doi.org/10.1109/tits.2016.2568759openalex-snapshot
An Optimal Estimation Approach for the Calibration of the Car-Following Behavior of Connected Vehicles in a Mixed Traffic Environment
inferred← citeshttps://doi.org/10.1109/tits.2019.2931797openalex-snapshot
Comparison of Car-Following Behavior in Terms of Safety Indicators Between China and Sweden
inferred← citeshttps://doi.org/10.1109/tits.2023.3268712openalex-snapshot
Treating Noise and Anomalies in Vehicle Trajectories From an Experiment With a Swarm of Drones
inferred← citeshttps://doi.org/10.1109/tits.2023.3317078openalex-snapshot
Adaptive Safety Evaluation for Connected and Automated Vehicles With Sparse Control Variates
inferred← citeshttps://doi.org/10.1109/tits.2024.3372334openalex-snapshot
A Global Sensitivity Analysis of Traffic Microsimulation Input Parameters on Performance Metrics
inferred← citeshttps://doi.org/10.1109/tits.2025.3535866openalex-snapshot
Adaptive Testing Environment Generation for Connected and Automated Vehicles With Dense Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/tits.2025.3571966openalex-snapshot
Distributionally Consistent Simulation of Naturalistic Driving Environment for Autonomous Vehicle Testing
inferred← citeshttps://doi.org/10.1109/tiv.2023.3323138openalex-snapshot
Simulation of Vehicle Interaction Behavior in Merging Scenarios: A Deep Maximum Entropy-Inverse Reinforcement Learning Method Combined With Game Theory
inferred← citeshttps://doi.org/10.1115/1.4046575openalex-snapshot
Human Driver Modeling Based on Analytical Optimal Solutions: Stopping Behaviors at the Intersections
inferred← citeshttps://doi.org/10.1139/cjce-2017-0592openalex-snapshot
A perceptual forward collision warning model using naturalistic driving data
inferred← citeshttps://doi.org/10.1155/2021/2739129openalex-snapshot
An Extended Car-Following Model in Connected and Autonomous Vehicle Environment: Perspective from the Cooperation between Drivers
inferred← citeshttps://doi.org/10.1155/2021/6784026openalex-snapshot
Individual Driver Crash Risk Classification Based on IoV Data and Offline Consumer Behavior Data
inferred← citeshttps://doi.org/10.1155/2022/3073393openalex-snapshot
The Longitudinal Driving Behavior of a Vehicle Assisted with Lv2 Driving Automation: An Empirical Study
inferred← citeshttps://doi.org/10.1177/0361198118792982openalex-snapshot
Modeling Driver Merging Behavior: A Repeated Game Theoretical Approach
inferred← citeshttps://doi.org/10.1177/0361198119844743openalex-snapshot
Toward the Development of Weather-Dependent Microsimulation Models
inferred← citeshttps://doi.org/10.1177/0361198119849401openalex-snapshot
Methods to Obtain Representative Car-Following Model Parameters from Trajectory-Level Data for Use in Microsimulation
inferred← citeshttps://doi.org/10.1177/0361198119862629openalex-snapshot
Prediction of Near-Crashes from Observed Vehicle Kinematics using Machine Learning
inferred← citeshttps://doi.org/10.1177/0361198120926507openalex-snapshot
Application of Deep Learning for Characterization of Drivers’ Engagement in Secondary Tasks in In-Vehicle Systems
inferred← citeshttps://doi.org/10.1177/03611981211031220openalex-snapshot
Development and Comparative Analysis of Advanced Deep Learning Techniques for Crash Prediction in Advanced Driver Support Systems
inferred← citeshttps://doi.org/10.1177/03611981211032650openalex-snapshot
Car-Following Model Calibration Based on Driving Simulator Data to Study Driver Characteristics and to Investigate Model Validity in Extreme Traffic Situations
inferred← citeshttps://doi.org/10.1177/03611981241236787openalex-snapshot
Incorporating Driving Behavior Metrics Derived from Naturalistic Driving Data into Macroscopic Safety Modeling
inferred← citeshttps://doi.org/10.1177/03611981241312916openalex-snapshot
Compromised Decision-Making Approach to Speed Limit Value of Hard Shoulder Running at Freeway Merge Areas Using Integrated Entropy Weight Method-VIKOR Method
inferred← citeshttps://doi.org/10.23919/acc53348.2022.9867588openalex-snapshot
Analytical Anticipative Optimal Drivability Car-Following Model
inferred← citeshttps://doi.org/10.26599/tst.2024.9010002openalex-snapshot
Study of Driver's Perception in Driving Tasks Based on Naturalistic Driving Experiments and fNIRS Measurement
inferred← citeshttps://doi.org/10.31390/gradschool_theses.3129openalex-snapshot
Exploration of the SHRP 2 Naturalistic Driving Study: Development of a Distracted Driving Prediction Model
inferred← citeshttps://doi.org/10.3141/2623-03openalex-snapshot
Game Theoretical Approach to Model Decision Making for Merging Maneuvers at Freeway On-Ramps
inferred← citeshttps://doi.org/10.3390/en15134625openalex-snapshot
Evaluation Method of Naturalistic Driving Behaviour for Shared-Electrical Car
inferred← citeshttps://doi.org/10.3390/fi12120216openalex-snapshot
An Extended Car-Following Model Considering Generalized Preceding Vehicles in V2X Environment
inferred← citeshttps://doi.org/10.3390/s16071084openalex-snapshot
Hazardous Traffic Event Detection Using Markov Blanket and Sequential Minimal Optimization (MB-SMO)
inferred← citeshttps://doi.org/10.48550/arxiv.1811.06395openalex-snapshot
Modeling car-following behavior on urban expressways in Shanghai: A naturalistic driving study
inferred← citeshttps://doi.org/10.5194/isprs-archives-xliv-4-w3-2020-33-2020openalex-snapshot
TOWARD FLEXIBLE DATA COLLECTION OF DRIVING BEHAVIOUR
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.