has been cited by the following article(s):
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[1]
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Car-Following Model for Mixed-Traffic Systems Considering Driving Styles
Journal of Transportation Engineering, Part A: Systems,
2026
DOI:10.1061/JTEPBS.TEENG-9317
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[2]
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Catboost - SHapley Additive exPlanations (SHAP) car following model: Explaining model features in mixed traffic conditions
Multimodal Transportation,
2026
DOI:10.1016/j.multra.2025.100284
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[3]
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Redefining Multimodal Microscopic Traffic Modeling with Information‐Theoretic Influence Areas and Self‐Supervised Learning
Physica A: Statistical Mechanics and its Applications,
2026
DOI:10.1016/j.physa.2025.131151
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[4]
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Calibration of car-following models of human driven vehicles interacting with automated vehicles in mixed traffic: a driving simulator experiment
Transportmetrica A: Transport Science,
2026
DOI:10.1080/23249935.2026.2629425
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[5]
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Research Progress of Dangerous Driving Behavior Recognition Methods Based on Deep Learning
World Electric Vehicle Journal,
2025
DOI:10.3390/wevj16020062
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[6]
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A systematic review of machine learning-based microscopic traffic flow models and simulations
Communications in Transportation Research,
2025
DOI:10.1016/j.commtr.2025.100164
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[7]
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The CAFNN-Based Identification Technique for Autonomous Vehicle Dynamics Model
2024 2nd International Conference on Artificial Intelligence and Automation Control (AIAC),
2024
DOI:10.1109/AIAC63745.2024.10899583
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[8]
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Integrating cyber-attacks on the continuous delay effect in coupled map car-following model under connected vehicles environment
Nonlinear Dynamics,
2023
DOI:10.1007/s11071-023-08508-5
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[9]
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Prediction of Car-Following Behavior of Autonomous Vehicle and Human-Driven Vehicle Based on Drivers’ Memory and Cooperation With Lead Vehicle
Transportation Research Record: Journal of the Transportation Research Board,
2023
DOI:10.1177/03611981231195051
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[10]
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A Review for the Driving Behavior Recognition Methods Based on Vehicle Multisensor Information
Journal of Advanced Transportation,
2022
DOI:10.1155/2022/7287511
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