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Personalized Car Following for Autonomous Driving with Inverse Reinforcement Learning
IEEE International Conference on Robotics and Automation, 2022Driving automation is gradually replacing human driving maneuvers in different applications such as adaptive cruise control and lane keeping. However, contemporary driving automation applications based on expert systems or prede-fined control strategies ...
Zhouqiao Zhao +6 more
semanticscholar +1 more source
Modelling personalised car-following behaviour: a memory-based deep reinforcement learning approach
Transportmetrica A: Transport Science, 2022To adapt to human-driving habits, this study develops a personalised car-following model via a memory-based deep reinforcement learning approach. Specifically, Twin Delayed Deep Deterministic Policy Gradients (TD3) is integrated with a long short-term ...
Yaping Liao +4 more
semanticscholar +1 more source
IEEE Transactions on Transportation Electrification, 2022
Practical vision-based technology is essential for the autonomous driving of intelligent hybrid electric vehicles. In this article, a hierarchical control structure is proposed, which combines you only look once-based object detection and learning-based ...
Xiaolin Tang +5 more
semanticscholar +1 more source
Practical vision-based technology is essential for the autonomous driving of intelligent hybrid electric vehicles. In this article, a hierarchical control structure is proposed, which combines you only look once-based object detection and learning-based ...
Xiaolin Tang +5 more
semanticscholar +1 more source
Modeling oscillatory car following using deep reinforcement learning based car following models
2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2021In this work, we use reinforcement learning (RL) to train a car following model for vehicle jerk. The learned model is specifically trained for car following in low-speed oscillatory driving conditions such as stop-and-go traffic typical in congested urban centers.
John Nguyen, Raphael Stern
openaire +1 more source
Transportmetrica A: Transport Science, 2022
The paper aims to develop an improved Fog-related Intelligent Driver Model (FIDM) that reproduces drivers’ car-following behaviour features by taking into account unobserved driver heterogeneity in fog condition. A multi-user driving simulator experiment
Yan Huang +5 more
semanticscholar +1 more source
The paper aims to develop an improved Fog-related Intelligent Driver Model (FIDM) that reproduces drivers’ car-following behaviour features by taking into account unobserved driver heterogeneity in fog condition. A multi-user driving simulator experiment
Yan Huang +5 more
semanticscholar +1 more source
Driver Identification Through Heterogeneity Modeling in Car-Following Sequences
IEEE transactions on intelligent transportation systems (Print), 2022Intra-driver and inter-driver heterogeneity has been confirmed to exist in human driving behaviors by many studies. This research proposes a driver identification method by modeling such heterogeneities in car following sequences.
Zhezhang Ding +6 more
semanticscholar +1 more source
IEEE transactions on intelligent transportation systems (Print), 2022
In recent years, the adaptive cruise control (ACC) system has become widely adopted. The vehicle-positioning system plays an important role in automotive platoon driving and can provide vehicle-position information through vehicle-to-vehicle ...
Junjie Zhang +4 more
semanticscholar +1 more source
In recent years, the adaptive cruise control (ACC) system has become widely adopted. The vehicle-positioning system plays an important role in automotive platoon driving and can provide vehicle-position information through vehicle-to-vehicle ...
Junjie Zhang +4 more
semanticscholar +1 more source
Research of Drivers' Car-Following Behavior with Car-Following Suggestion
CICTP 2012, 2012Cooperative Vehicle Infrastructure System (CVIS) will bring a more precise control of drivers' car-following behavior and benefit traffic flow stability and efficiency. In order to reflect the influence of CVIS on drivers' behavior, a car-following experimental suggestion system has been built.
Hongfei Jia +3 more
openaire +1 more source
Self-Learning Optimal Cruise Control Based on Individual Car-Following Style
IEEE transactions on intelligent transportation systems (Print), 2021This study aims to develop an optimal cruise controller that can automatically adapt to individual car-following style. First, the adaptive cruise control (ACC) problem is formulated as a linear quadratic optimal control, and an optimal control law ...
Hongqing Chu +4 more
semanticscholar +1 more source
Transportation Research Record, 2021
To better understand the behavioral heterogeneities of human-operated vehicles, the paper proposes a method to distinguish car-following behaviors in specific leader–follower contexts.
Zhanbo Sun +4 more
semanticscholar +1 more source
To better understand the behavioral heterogeneities of human-operated vehicles, the paper proposes a method to distinguish car-following behaviors in specific leader–follower contexts.
Zhanbo Sun +4 more
semanticscholar +1 more source