相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Efficient Deep Reinforcement Learning With Imitative Expert Priors for Autonomous Driving
Zhiyu Huang et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2023)
Supervised pre-training for improved stability in deep reinforcement learning
Sooyoung Jang et al.
ICT EXPRESS (2023)
Dynamic Driving Risk Potential Field Model Under the Connected and Automated Vehicles Environment and Its Application in Car-Following Modeling
Linheng Li et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2022)
Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey
Ammar Haydari et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2022)
Supervised assisted deep reinforcement learning for emergency voltage control of power systems
Xiaoshuang Li et al.
NEUROCOMPUTING (2022)
Automatic Weight Determination in Model Predictive Control for Personalized Car-Following Control
Wonteak Lim et al.
IEEE ACCESS (2022)
Platoon Trajectories Generation: A Unidirectional Interconnected LSTM-Based Car-Following Model
Yangxin Lin et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2022)
Deep Reinforcement Learning for Autonomous Driving: A Survey
B. Ravi Kiran et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2022)
A Spatiotemporal Bidirectional Attention-Based Ride-Hailing Demand Prediction Model: A Case Study in Beijing During COVID-19
Ziheng Huang et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2022)
Improved Deep Reinforcement Learning with Expert Demonstrations for Urban Autonomous Driving
Haochen Liu et al.
2022 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV) (2022)
Deep Inverse Reinforcement Learning for Behavior Prediction in Autonomous Driving: Accurate Forecasts of Vehicle Motion
Tharindu Fernando et al.
IEEE SIGNAL PROCESSING MAGAZINE (2021)
Learning From Naturalistic Driving Data for Human-Like Autonomous Highway Driving
Donghao Xu et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2021)
Combined Hierarchical Learning Framework for Personalized Automatic Lane-Changing
Bing Zhu et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2021)
Self-Learning Optimal Cruise Control Based on Individual Car-Following Style
Hongqing Chu et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2021)
A Survey of Deep Learning Applications to Autonomous Vehicle Control
Sampo Kuutti et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2021)
Human-Like Decision Making for Autonomous Driving: A Noncooperative Game Theoretic Approach
Peng Hang et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2021)
About calibration of car-following dynamics of automated and human-driven vehicles: Methodology, guidelines and codes
Vincenzo Punzo et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2021)
Pre-training with asynchronous supervised learning for reinforcement learning based autonomous driving
Yunpeng Wang et al.
FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING (2021)
Comparison of Deep Reinforcement Learning and Model Predictive Control for Adaptive Cruise Control
Yuan Lin et al.
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES (2021)
Jointly dampening traffic oscillations and improving energy consumption with electric, connected and automated vehicles: A reinforcement learning based approach
Xiaobo Qu et al.
APPLIED ENERGY (2020)
Deterministic Promotion Reinforcement Learning Applied to Longitudinal Velocity Control for Automated Vehicles
Yuxiang Zhang et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2020)
Safe, efficient, and comfortable velocity control based on reinforcement learning for autonomous driving
Meixin Zhu et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2020)
Introducing Electrified Vehicle Dynamics in Traffic Simulation
Yinglong He et al.
TRANSPORTATION RESEARCH RECORD (2020)
Extracting Human-Like Driving Behaviors From Expert Driver Data Using Deep Learning
Kyle Sama et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2020)
Learning the Car-following Behavior of Drivers Using Maximum Entropy Deep Inverse Reinforcement Learning
Yang Zhou et al.
JOURNAL OF ADVANCED TRANSPORTATION (2020)
Personalized Adaptive Cruise Control Based on Online Driving Style Recognition Technology and Model Predictive Control
Bingzhao Gao et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2020)
A sequence to sequence learning based car-following model for multi-step predictions considering reaction delay
Lijing Ma et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2020)
A Two-Stage Reinforcement Learning Approach for Multi-UAV Collision Avoidance Under Imperfect Sensing
Dawei Wang et al.
IEEE ROBOTICS AND AUTOMATION LETTERS (2020)
Brain-Inspired Cognitive Model With Attention for Self-Driving Cars
Shitao Chen et al.
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS (2019)
A Novel Car-Following Control Model Combining Machine Learning and Kinematics Models for Automated Vehicles
Da Yang et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2019)
Long memory is important: A test study on deep-learning based car-following model
Xiao Wang et al.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2019)
Typical-driving-style-oriented Personalized Adaptive Cruise Control design based on human driving data
Bing Zhu et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2019)
MFC Free-Flow Model: Introducing Vehicle Dynamics in Microsimulation
Michail Makridis et al.
TRANSPORTATION RESEARCH RECORD (2019)
Fusion Modeling Method of Car-Following Characteristics
Yufang Li et al.
IEEE ACCESS (2019)
Improved Car-Following Strategy Based on Merging Behavior Prediction of Adjacent Vehicle From Naturalistic Driving Data
Yingshi Guo et al.
IEEE ACCESS (2019)
Capturing Car-Following Behaviors by Deep Learning
Xiao Wang et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2018)
Modeling car-following behavior on urban expressways in Shanghai: A naturalistic driving study
Meixin Zhu et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2018)
A Hardware Platform Framework for an Intelligent Vehicle Based on a Driving Brain
Deyi Li et al.
ENGINEERING (2018)
A car-following model considering asymmetric driving behavior based on long short-term memory neural networks
Xiuling Huang et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2018)
Driver Behavior Characteristics Identification Strategies Based on Bionic Intelligent Algorithms
Bing Zhu et al.
IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS (2018)
Human-like autonomous car-following model with deep reinforcement learning
Meixin Zhu et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2018)
Analysis of Recurrent Neural Networks for Probabilistic Modeling of Driver Behavior
Jeremy Morton et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2017)
Validation of the Rakha-Pasumarthy-Adjerid car-following model for vehicle fuel consumption and emission estimation applications
Jinghui Wang et al.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT (2017)
A binary decision model for discretionary lane changing move based on fuzzy inference system
Esmaeil Balal et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2016)
The new car following model considering vehicle dynamics influence and numerical simulation
Dihua Sun et al.
INTERNATIONAL JOURNAL OF MODERN PHYSICS C (2015)
Vehicle Dynamics Model for Estimating Typical Vehicle Accelerations
Karim Fadhloun et al.
TRANSPORTATION RESEARCH RECORD (2015)
Incorporating human-factors in car-following models: A review of recent developments and research needs
Mohammad Saifuzzaman et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2014)
An Adaptive Longitudinal Driving Assistance System Based on Driver Characteristics
Jianqiang Wang et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2013)
A supervised Actor-Critic approach for adaptive cruise control
Dongbin Zhao et al.
SOFT COMPUTING (2013)
Cooperative Adaptive Cruise Control: A Reinforcement Learning Approach
Charles Desjardins et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2011)
Congested traffic states in empirical observations and microscopic simulations
M Treiber et al.
PHYSICAL REVIEW E (2000)