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Capturing Car-Following Behaviors by Deep Learning

https://doi.org/10.1109/tits.2017.2706963

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What this work says

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Long Short-Time Memory Neural Networks for Human Driving Behavior Modelling

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A similarity-based data-driven car-following model considering driver heterogeneity

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A data-driven normal contact force model based on artificial neural network for complex contacting surfaces

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Learning naturalistic driving environment with statistical realism

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Synthetic data in machine learning for medicine and healthcare

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FollowNet: A Comprehensive Benchmark for Car-Following Behavior Modeling

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Adaptive driver following model that integrates perception process and driving behavior

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A vehicle trajectory prediction model that integrates spatial interaction and multiscale temporal features

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2‐dimensional human‐like driver model for autonomous vehicles in mixed traffic

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Dynamic motion planner with trajectory optimisation for automated highway lane‐changing driving

inferred← citeshttps://doi.org/10.1049/itr2.12175openalex-snapshot

Graph attention network for Car‐Following Model under game between desired and real state

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Trajectory reconstruction for mixed traffic flow with regular, connected, and connected automated vehicles on freeway

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Modelling and simulation of (connected) autonomous vehicles longitudinal driving behavior: A state‐of‐the‐art

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Does Deep Learning Architectures Model Human‐Like Intelligent Response in Asymmetric Car‐Following Behaviour? A Novel Framework for Learning Acceleration–Deceleration Decisions

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Car-Following Model Based on Deep Learning and Markov Theory

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Modeling a Car-Following Model with Comprehensive Safety Field in Freeway Tunnels

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A Car-Following Model Considering Driver’s Instantaneous Reaction Delay in Nonlane-Based Traffic Environments

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Car-Following Models for Human-Driven Vehicles and Autonomous Vehicles: A Systematic Review

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Fusing Physics-Based and Data-Driven Models for Car-Following Modeling: A Particle Filter Approach

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Using of convolutional neural networks for the prediction of steering angles in autonomous vehicles

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Finite-time adaptive optimal control of uncertain strict-feedback nonlinear systems based on fuzzy observer and reinforcement learning

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From brake lights to beyond – exploring information needed for car-following behaviour

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A Decision Model Based on Gene Expression Programming for Discretionary Lane-Changing Move

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Dead Reckoning in Emergency Vehicle Preemption System Using Deep Output Kernel Learning and Extended Kalman Filter

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Follow the leader: a deep reinforcement learning framework for safe and efficient autonomous car-following

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A spatiotemporal adaptive local search method for tracking congestion propagation in dynamic networks

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Modeling car-following behavior during queue discharge at signalized intersections with countdown timer

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A recurrent neural network model for predicting two-leader car-following behavior

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Exploring the design of reward functions in deep reinforcement learning-based vehicle velocity control algorithms

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Physics-informed deep reinforcement learning-based car-following model and simulation analysis for different vehicle Types

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Memory, attention and prediction: a deep learning architecture for car-following

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Modelling personalised car-following behaviour: a memory-based deep reinforcement learning approach

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Modeling differential car-following behavior under normal and rainy conditions: A memory-based deep learning method with attention mechanism

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Learning Collision Avoidance of Ship Manoeuvring based on Gated Recurrent Unit

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A Car-Following Model Using Online Sequential Extreme Learning Machine

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End-to-End Control Method for Unmanned Vehicle Based on Knowledge Distillation

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GCN-SATO: A Graph Convolutional Network with Self-Attention based Car-Following Model

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Capturing Drivers’ Lane Changing Behaviors on Operational Level by Data Driven Methods

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A Novel Torque Distribution Strategy Based on Deep Recurrent Neural Network for Parallel Hybrid Electric Vehicle

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Quantitative Assessment on Truck-Related Road Risk for the Safety Control via Truck Flow Estimation of Various Types

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A Deep Learning Method for Lane Changing Situation Assessment and Decision Making

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Fusion Modeling Method of Car-Following Characteristics

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Research on a Mine Gas Concentration Forecasting Model Based on a GRU Network

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Traffic Data Imputation and Prediction: An Efficient Realization of Deep Learning

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Battery Aging-Aware Online Optimal Control: An Energy Management System for Hybrid Electric Vehicles Supported by a Bio-Inspired Velocity Prediction

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A Physics-Based Longitudinal Driver Model for Automated Vehicles

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An Intelligent Evolving Car-Following Model

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Learning Car-Following Behaviors for a Connected Automated Vehicle System: An Improved Sequence-to-Sequence Deep Learning Model

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An Attention-Based Car-Following Model Based on Fused Data

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Experimenting With an Efficient Driver Behavior Dynamical Model Applicable to Simulated Lane Changing Tasks

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Survey on Traffic Flow-Based Autonomous Driving Simulation Tests

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Optimal sampling for Moving Object Trajectory Tracking in Smart Transportation Systems: A Transformer-based Approach

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Modeling Safe and Smooth Car-Following Behavior: An LSTM-Attention Based TD3 Approach

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Autonomous Car-Following via Reinforcement Learning with Style-Specific Reward Design

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Cooperative Steering Control System for Robust Obstacle Avoidance in Cluttered Off-Road Environments

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ROADS: Randomization for Obstacle Avoidance and Driving in Simulation

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CARL: Congestion-Aware Reinforcement Learning for Imitation-Based Perturbations in Mixed Traffic Control

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Dense Video Captioning through Convolutional-Transformer Integration

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A TOPSIS Multi-Criteria Decision Method-Based Function-Link Fuzzy CMAC Control System Design for Uncertain Nonlinear Systems

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A Deep Learning Model for Interpreting Car Following Behaviors

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Discrete Contrastive Learning for Diffusion Policies in Autonomous Driving

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Long-term Consistent Simulation of Car-following Behavior in Autonomous Driving Test Scenarios

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Autonomous Car-Following Approach Based on Real-time Video Frames Processing

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EnduRL: Enhancing Safety, Stability, and Efficiency of Mixed Traffic Under Real-World Perturbations Via Reinforcement Learning

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Human-Like Maneuver Decision Using LSTM-CRF Model for On-Road Self-Driving

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Modeling Mixed Traffic in Shared Space Using LSTM with Probability Density Mapping

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Backpropagation through Simulation: A Training Method for Neural Network-based Car-following

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Deep Learning Based Vehicle Position Estimation for Human Drive Vehicle at Connected Freeway

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A Novel Mixed Traffic Flow Model Considering V2I, Vehicle Size and Driving Style Difference

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Dynamic Car-following Model Calibration with Deep Reinforcement Learning

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Interactive Car-Following: Matters but NOT Always

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TransWorldNG: Traffic Simulation via Foundation Model

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Physics-Guided Graph Convolutional Network for Modeling Car-Following Behaviors Under Distributional Shift

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A Shared Control Approach for Steering Assistance via Online Learning

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Improving the Intelligent Driver Model by Incorporating Vehicle Dynamics: Microscopic Calibration and Macroscopic Validation

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Adaptive Autopilot: Constrained Drl for Diverse Driving Behaviors

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Learning Car-Following Behaviors Using Bayesian Matrix Normal Mixture Regression

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Driving Style-aware Car-following Considering Cut-in Tendencies of Adjacent Vehicles with Inverse Reinforcement Learning

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Transferable Driver Behavior Learning via Distribution Adaption in the Lane Change Scenario

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Decision-making in driver-automation shared control: A review and perspectives

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Autonomous Platoon Control With Integrated Deep Reinforcement Learning and Dynamic Programming

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Multitimescale Control and Communications With Deep Reinforcement Learning—Part I: Communication-Aware Vehicle Control

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Prediction-Loss-Guided Long-Tail Augmentation and Uncertainty-Aware Reinforcement Learning for Car-Following Control

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Multi-Input Autonomous Driving Based on Deep Reinforcement Learning With Double Bias Experience Replay

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Clusters of Driving Behavior From Observational Smartphone Data

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Vehicle Trajectory Prediction Using LSTMs With Spatial–Temporal Attention Mechanisms

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A Dynamic Transformation Car-Following Model for the Prediction of the Traffic Flow Oscillation

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Scene-to-Scene Microscopic Traffic Dynamics Deduction: Integrating Simulation, Prediction, and Real-Time Monitoring

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Modeling oscillatory car following using deep reinforcement learning based car following models

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A Reinforcement Learning Framework for Video Frame-Based Autonomous Car-Following

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Machine Learning Advancements in Urban Traffic Simulation: A Comprehensive Survey

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A Koopman-Theoretic Approach to Car-Following and Multi-Lane Interaction Modeling

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Jointly Learning V2X Communication and Platoon Control with Deep Reinforcement Learning

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Deep Learning-Based Trajectory Planning and Control for Autonomous Ground Vehicle Parking Maneuver

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Online Trajectory Planning Method for Autonomous Ground Vehicles Confronting Sudden and Moving Obstacles Based on LSTM-Attention Network

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A Driving Regime-Embedded Deep Learning Framework for Modeling Intradriver Heterogeneity in Multiscale Car-Following Dynamics

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A Novel Car-Following Control Model Combining Machine Learning and Kinematics Models for Automated Vehicles

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Hexagon-Based Convolutional Neural Network for Supply-Demand Forecasting of Ride-Sourcing Services

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2018 IndexIEEE Transactions on Intelligent Transportation SystemsVol. 19

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Bioinspired Computational Intelligence and Transportation Systems: A Long Road Ahead

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Longitudinal Collision Avoidance and Lateral Stability Adaptive Control System Based on MPC of Autonomous Vehicles

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Transfer Learning for Driver Model Adaptation in Lane-Changing Scenarios Using Manifold Alignment

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Temporally Consistent Depth Prediction With Flow-Guided Memory Units

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