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Aware of Scene Vehicles—Probabilistic Modeling of Car-Following Behaviors in Real-World Traffic

https://doi.org/10.1109/tits.2018.2863939
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-94-011-5014-9_12openalex-snapshot
A View of the Em Algorithm that Justifies Incremental, Sparse, and other Variants
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/j.physa.2005.05.001openalex-snapshot
Delays, inaccuracies and anticipation in microscopic traffic models
inferredcites →https://doi.org/10.1016/j.trb.2012.01.001openalex-snapshot
Latent class model for car following behavior
inferredcites →https://doi.org/10.1016/j.trb.2012.06.007openalex-snapshot
Analyzing fluctuations in car-following
inferredcites →https://doi.org/10.1016/j.trc.2010.05.006openalex-snapshot
Heterogeneity in car-following behavior: Theory and empirics
inferredcites →https://doi.org/10.1016/j.trc.2013.08.003openalex-snapshot
Identifying driver heterogeneity in car-following based on a random coefficient model
inferredcites →https://doi.org/10.1016/s1369-8478(00)00005-xopenalex-snapshot
Car-following: a historical review
inferredcites →https://doi.org/10.1023/a:1010933404324openalex-snapshot
Random Forests
inferredcites →https://doi.org/10.1049/iet-its.2014.0157openalex-snapshot
Longitudinal driving behaviour on different roadway categories: an instrumented‐vehicle experiment, data collection and case study in China
inferredcites →https://doi.org/10.1080/00423114.2015.1062899openalex-snapshot
Driver models for personalised driving assistance
inferredcites →https://doi.org/10.1103/physreve.51.1035openalex-snapshot
Dynamical model of traffic congestion and numerical simulation
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/isic.2007.4359705openalex-snapshot
Analysis of Vehicle Following Behavior of Human Driver Based on Hybrid Dynamical System Model
inferredcites →https://doi.org/10.1109/itsc.2014.6957871openalex-snapshot
Car following regime taxonomy based on Markov switching
inferredcites →https://doi.org/10.1109/jas.2017.7510598openalex-snapshot
Parallel driving in CPSS: a unified approach for transport automation and vehicle intelligence
inferredcites →https://doi.org/10.1109/jproc.2006.888405openalex-snapshot
Driver Modeling Based on Driving Behavior and Its Evaluation in Driver Identification
inferredcites →https://doi.org/10.1109/mits.2011.942779openalex-snapshot
Probabilistic Analysis of Dynamic Scenes and Collision Risks Assessment to Improve Driving Safety
inferredcites →https://doi.org/10.1109/mits.2014.2357038openalex-snapshot
Learning Driver Behavior Models from Traffic Observations for Decision Making and Planning
inferredcites →https://doi.org/10.1109/tits.2006.883111openalex-snapshot
Behavior Measurement, Analysis, and Regime Classification in Car Following
inferredcites →https://doi.org/10.1109/tits.2014.2326082openalex-snapshot
Segmentation and Clustering of Car-Following Behavior: Recognition of Driving Patterns
inferredcites →https://doi.org/10.1109/tits.2016.2571726openalex-snapshot
On-Road Vehicle Trajectory Collection and Scene-Based Lane Change Analysis: Part I
inferredcites →https://doi.org/10.1198/106186001317115045openalex-snapshot
Implementations of the Monte Carlo EM Algorithm
inferredcites →https://doi.org/10.1287/opre.9.4.545openalex-snapshot
Nonlinear Follow-the-Leader Models of Traffic Flow
inferredcites →https://doi.org/10.3141/1965-13openalex-snapshot
Interdriver Differences in Car-Following: A Vehicle Trajectory-Based Study
inferredcites →https://doi.org/10.3141/2088-16openalex-snapshot
Calibrating Car-Following Models by Using Trajectory Data
inferredcites →https://doi.org/10.3141/2260-07openalex-snapshot
Multiregime Sequential Risk-Taking Model of Car-Following Behavior
inferredcites →https://doi.org/10.6109/jicce.2013.11.2.095openalex-snapshot
Stochastic Mixture Modeling of Driving Behavior During Car Following

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Application of naturalistic driving data: A systematic review and bibliometric analysis
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Continual driver behaviour learning for connected vehicles and intelligent transportation systems: Framework, survey and challenges
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inferred← citeshttps://doi.org/10.1016/j.trc.2023.104183openalex-snapshot
Trajectory-based embedding for random coefficients of a theory-based car-following model
inferred← citeshttps://doi.org/10.1016/j.trc.2025.105282openalex-snapshot
Modeling car-following behaviors considering driver heterogeneity: A multi-regime stochastic framework
inferred← citeshttps://doi.org/10.1016/j.trc.2026.105712openalex-snapshot
Meta-learning guided by physics-based residual priors: a plug-and-play training strategy for lightweight car-following models
inferred← citeshttps://doi.org/10.1063/5.0342070openalex-snapshot
The road to autonomy: Overcoming barriers in autonomous vehicle technology
inferred← citeshttps://doi.org/10.1109/icitbs55627.2022.00070openalex-snapshot
Human-Machine Co-Driving Mode Switching Method of Autonomous Vehicles based on Traffic Scenarios
inferred← citeshttps://doi.org/10.1109/itsc.2019.8917276openalex-snapshot
Driver Identification through Multi-state Car Following Modeling
inferred← citeshttps://doi.org/10.1109/itsc48978.2021.9564780openalex-snapshot
A Novel Mixed Traffic Flow Model Considering V2I, Vehicle Size and Driving Style Difference
inferred← citeshttps://doi.org/10.1109/tbiom.2024.3400866openalex-snapshot
A Survey of EEG-Based Driver State and Behavior Detection for Intelligent Vehicles
inferred← citeshttps://doi.org/10.1109/tits.2019.2913920openalex-snapshot
Table of contents
inferred← citeshttps://doi.org/10.1109/tits.2020.2966388openalex-snapshot
2019 Index IEEE Transactions on Intelligent Transportation Systems Vol. 20
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Research on Personalized AEB Strategies Based on Self-Supervised Contrastive Learning
inferred← citeshttps://doi.org/10.1109/tits.2023.3317475openalex-snapshot
Causal Models to Support Scenario-Based Testing of ADAS
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A Sequence-to-Sequence Car-Following Model for Addressing Driver Reaction Delay and Cumulative Error in Multi-Step Prediction
inferred← citeshttps://doi.org/10.1109/tits.2026.3726049openalex-snapshot
Modeling Car-Following Behavior Based on Phase-Field Coupling Theory and Mathematized Expression of Panoramic Situation
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A Review of AI in Human-Machine Cooperation: Machine Perspective
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Game Algorithm of Intelligent Driving Vehicle Based on Left-Turn Scene of Crossroad Traffic Flow
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Quantitative Study on Road Traffic Environment Complexity under Car-Following Condition
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Recognition of Drivers’ Hard and Soft Braking Intentions Based on Hybrid Brain-Computer Interfaces
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