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Shunchao Wang

Publications
6
Citations
39
Publications by Year
20222024
Co-Authors:
Show All Co-Authors (9)
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Shunchao Wang

Affiliation

School of Transportation
Southeast University
Nanjing, China

Publication Topics

Biography

Shunchao Wang (wangshunchao@seu.edu.cn) earned his M.Eng. degree in transportation engineering from the Beijing University of Technology, China, in 2019. He is currently working toward a Ph.D. degree in the School of Transportation, Southeast University, Nanjing, 210096, China. His research interests include the cooperative control of connected and automated driving and shared transportation. He received the Excellent Master Thesis Award in 2019.(Based on document published on 5 March 2021).
Publications
6
Citations
39
Publications by Year
20222024
Co-Authors:
Show All Co-Authors (9)
Author's Published Works

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A Bounded Rationality-Aware Car-Following Strategy for Alleviating Cut-In Events and Traffic Disturbances in Traffic Oscillations

Meng Li;Zhibin Li;Bingtong Wang;Shunchao Wang

IEEE Transactions on Intelligent Transportation Systems
Year: 2024 | Volume: 25, Issue: 11 | Journal Article |
Neighboring human-driven vehicles (HDVs) frequently perform uncertain cut-in maneuvers, posing a threat to the safety and efficiency of autonomous vehicles (AVs), particularly in traffic oscillation scenarios characterized by AVs experiencing speed disturbances. In this paper, we propose an AV car-following strategy based on bounded rationality-aware reinforcement learning (BRARL) to handle cut-in...Show More

A Bounded Rationality-Aware Car-Following Strategy for Alleviating Cut-In Events and Traffic Disturbances in Traffic Oscillations

Meng Li;Zhibin Li;Bingtong Wang;Shunchao Wang

Year: 2024 | Volume: 25, Issue: 11 | Journal Article |

Collision Avoidance Motion Planning for Connected and Automated Vehicle Platoon Merging and Splitting With a Hybrid Automaton Architecture

Shunchao Wang;Zhibin Li;Bingtong Wang;Meng Li

IEEE Transactions on Intelligent Transportation Systems
Year: 2024 | Volume: 25, Issue: 2 | Journal Article |
Cited by: Papers (11)
Connected and automated vehicle (CAV) platooning exhibits significant potential in enhancing traffic efficiency and sustainability. In unsteady traffic conditions, CAV platoons frequently require splitting and merging maneuvers to avoid obstacles. This study introduces a hybrid automaton architecture for collision avoidance motion planning during CAV platoon merging and splitting. A velocity obsta...Show More

Collision Avoidance Motion Planning for Connected and Automated Vehicle Platoon Merging and Splitting With a Hybrid Automaton Architecture

Shunchao Wang;Zhibin Li;Bingtong Wang;Meng Li

Year: 2024 | Volume: 25, Issue: 2 | Journal Article |

Quality evaluation of Automotive Body Robot Roll-Hemming Forming Process Based on Computer Vision

Mozhi Li;Wenfeng Zhu;Shunchao Wang

2023 5th International Symposium on Robotics & Intelligent Manufacturing Technology (ISRIMT)
Year: 2023 | Conference Paper |
The quality defects in the robot roll-hemming forming process will cause the automotive body to fail to meet the requirements of appearance and assembly accuracy. To this end, a method of robot roll-hemming forming quality evaluation based on computer vision is proposed. Firstly, the quality defects of body roll-hemming forming are divided into two categories: dimensional defects and roll-hemming ...Show More

Quality evaluation of Automotive Body Robot Roll-Hemming Forming Process Based on Computer Vision

Mozhi Li;Wenfeng Zhu;Shunchao Wang

Year: 2023 | Conference Paper |

Anti-Disturbance Self-Supervised Reinforcement Learning for Perturbed Car-Following System

Meng Li;Zhibin Li;Shunchao Wang;Bingtong Wang

IEEE Transactions on Vehicular Technology
Year: 2023 | Volume: 72, Issue: 9 | Journal Article |
Cited by: Papers (9)
This paper proposes an anti-disturbance car-following strategy for attenuating (i) exogenous disturbances from preceding traffic oscillations and (ii) endogenous disturbances in vehicular control systems (e.g., wind gust, ground friction, and rolling resistance). Firstly, it employs a modified robust controller to generate an expert car-following control experience. Subsequently, it imitates the e...Show More

Anti-Disturbance Self-Supervised Reinforcement Learning for Perturbed Car-Following System

Meng Li;Zhibin Li;Shunchao Wang;Bingtong Wang

Year: 2023 | Volume: 72, Issue: 9 | Journal Article |

Enhancing Cooperation of Vehicle Merging Control in Heavy Traffic Using Communication-Based Soft Actor-Critic Algorithm

Meng Li;Zhibin Li;Shunchao Wang;Si Zheng

IEEE Transactions on Intelligent Transportation Systems
Year: 2023 | Volume: 24, Issue: 6 | Journal Article |
Cited by: Papers (7)
A promising way to improve efficiency in highway on-ramp regions is to control connected and automated vehicles (CAVs) to pass the merging section sequentially. The primary objective of this paper is to incorporate the reinforcement learning (RL) technique into vehicle merging control to achieve global cooperation. A communication protocol among RL agents is integrated with the Soft Actor-Critic (...Show More

Enhancing Cooperation of Vehicle Merging Control in Heavy Traffic Using Communication-Based Soft Actor-Critic Algorithm

Meng Li;Zhibin Li;Shunchao Wang;Si Zheng

Year: 2023 | Volume: 24, Issue: 6 | Journal Article |

Jam-Absorption Driving Strategy for Improving Safety Near Oscillations in a Connected Vehicle Environment Considering Consequential Jams

Shunchao Wang;Zhibin Li;Zehong Cao;Alireza Jolfaei;Qi Cao

IEEE Intelligent Transportation Systems Magazine
Year: 2022 | Volume: 14, Issue: 2 | Magazine Article |
Cited by: Papers (12)
This article proposes an optimal jam-absorption driving (JAD) strategy, which not only prevents the occurring traffic oscillation but also avoids the consequential jam caused by the JAD vehicle. We first conducted a theoretical analysis to estimate the relationship between velocity and space headway within kinematic waves. Then an optimization function was formed to minimize the system travel dela...Show More

Jam-Absorption Driving Strategy for Improving Safety Near Oscillations in a Connected Vehicle Environment Considering Consequential Jams

Shunchao Wang;Zhibin Li;Zehong Cao;Alireza Jolfaei;Qi Cao

Year: 2022 | Volume: 14, Issue: 2 | Magazine Article |

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