Rui Yingxu

Personal information

More  >>

lecturer  

Personal Profile

芮迎旭,硕士生导师,共产党员,工学博士,毕业于北京航空航天大学交通运输规划与管理专业,澳大利亚莫纳什大学联合培养博士(CSC),现为浙江师范大学工学院专任教师。近年来参与国家自然科学基金面上项目一项;已发表SCI论文15篇,其中一区2篇、二区5篇、三区3篇,以第一作者/通讯作者在Simulation Modelling Practice and Theory、Physica A Statistical Mechanics and its Applications等交通领域国际权威SCI期刊发表论文。担任Simulation Modelling Practice and Theory、Physica A Statistical Mechanics and its Applications、Journal of Advanced Transportation等国际权威SCI期刊审稿人。研究方向:数据驱动下异质交通流建模、基于逆强化学习的微观交通行为。


发表论文:

2026:

1. Rui Y X, Sijia Li, Peng Mei, Peng Liao, Jian Zhang, Tao Wang. An extended social force model incorporating group attraction for bicycle group dynamics: Simulation and experimental validation. Simulation Modelling Practice and Theory, Volume 149, 2026, 103273. (SCI 1区)

2. Rui Y X, Zhuge Y, Shi J, et al. Learning-based risk-perception strategies for intelligent co-control of energy efficiency and safety in autonomous driving: A survey[J]. Journal of Artificial Intelligence and Soft Computing Research. (SCI 2区)

3. Shi J, Yin Q, Rui Y X*, et al. Modeling of longitudinal and lateral vehicle behavior in a connected and automated driving environment considering heterogeneous time delays[J]. Physica A. (SCI 2区)

4. Xiangyu Feng, Tao Li, Peng Liao, Yingxu Rui*. Performance Pursuit Behavior of Autonomous Vehicles: An Area-Based Driving Strategy for Autonomous Vehicles Considering Multi-Objective Optimization at Signalized Intersections. Systems, 2026. (SSCI 1区)

5. Zhang W, Chen H, Rui Y X, et al. Security-checking opening planning in transportation hubs with reinforcement learning and deep learning considering stochastic passenger arrival[J]. IEEE Access, 2026. (SCI 2区)

6. Jun-Qing Shia, Mei-Xiao Wanga, Ying-Xu Rui*, et al. Orderly charging and discharging optimization method for microgrid electric vehicles based on HPSO-GASA[J]. Transportation Safety and Environment. (中科院3区, EI)

7. Zhuge Y, Rui Y X*, Mei P, et al. Autonomous Driving Risk Perception and Decision-Making Models: Integration and Challenges of Deep Reinforcement Learning, Imitationlearning, and Uncertainty Modeling[C]//International Conference on Green Intelligent Transportation System and Safety. Springer, Singapore, 2026: 239-245. (EI会议)

8. Mei P, Skruch P, Huang X, Rui Y X, et al. Integrated driving behavior analysis and predictive modeling for connected electric vehicles toward energy consumption optimization[C]//15th International Conference on Power Electronics, Machines and Drives (PEMD Global 2026). IET, 2026, 2026: 169-173. (EI会议)

9. Nan J, Wang M, Rui Y X*, et al. Two-Stage Model Predictive Control for Battery Electric Vehicle-Centric Mobile Energy Storage in Microgrids[J]. Available at SSRN 6214131.  (SCI 1区, 在投)

10. Nan J, Jianyu D, Rui Y X*, et al. Safe decision-making and planning using Negative-Demonstration-Inspired Deep Inverse Reinforcement Learning for autonomous vehicles in forced merge scenarios[J]. Available at SSRN 5489306. (SCI 1区, 在投)

11. Junqing Shi, Yanhong Tao, Sui Ruan, Yingxu Rui*, Pawe l Skruch, Peng Mei, Hamid Reza Karimi. A Graph-Attentive Multi-Agent Deep Reinforcement Learning for Regional Traffic Signal Control. Robotics and Autonomous Systems. (SCI 2区, 在投)


2025:

1. Rui Y X, Shi J, Mao C, et al. Mining Asymmetric Traffic Behavior at Signalized Intersections Using a Cellular Automaton Framework[J]. Symmetry, 2025, 17(8): 1328. (SCI 2区)

2. Shi J, Ruan S, Tao Y, Rui Y X*, et al. Improved YOLO algorithm based on multi-scale object detection in haze weather scenarios[J]. Chain, 2025.  (中国卓越期刊)


2024:

1. Rui Y X, Shi J Q, Liao P, et al. An extended cellular automation model for bicycles with group and retrograde behaviors at signalized intersections[J]. Simulation Modelling Practice and Theory, 2024, 136: 103004. (SCI 1区)


2024之前:

1. Rui Y X, Tang T Q, Zhang J. An Improved Social Force Model for Bicycle Flow in Groups[J]. Journal of Advanced Transportation, 2021, 2021. (SCI 3区)

2. Tang T Q, Rui Y X, Zhang J, et al. Impacts of group behavior on bicycle flow at a signalized intersection[J]. Physica A: Statistical Mechanics and its Applications, 2018, 512: 1205-1215. (SCI 2区)

3. Tang T Q, Rui Y X, Zhang J, et al. A cellular automation model accounting for bicycle’s group behavior[J]. Physica A: Statistical Mechanics and Its Applications, 2018, 492: 1782-1797. (SCI 2区)

4. Ou H, Tang T Q, Rui Y X, et al. Electric bicycle management and control at a signalized intersection[J]. Physica A: Statistical Mechanics and its Applications, 2018, 512: 1000-1008.  (SCI 2区)

5. Ou H, Tang T Q, Rui Y X, et al. Modeling electric bicycle’s abnormal behavior at a signalized intersection[J]. Physica A: Statistical Mechanics and its Applications, 2018, 511: 218-231.  (SCI 2区)

6. 芮迎旭, 唐铁桥. 同时考虑结伴行为和逆行行为的自行车流元胞自动机模型[J]. 山东科学, 2022, 35(2): 79-88.  (核心)


发明专利:

1. 廖鹏 芮迎旭 宁东红 施俊庆李延龙 赵遵龙 诸葛怡. 考虑滨海区域行驶条件的自动驾驶电动汽车速度优化方法. CN 12096372.


在研项目:

1. 强传染疾病背景下人群运动行为建模与应急疏散管控策略研究. 国家自然科学基金面上项目. 2022. 参与

2. 面向自动驾驶场景的机动车风险行为逆强化学习建模与安全管控. 武汉市交通强国建设试点科技联合项目. 2025. 20万. 主持


招收硕士研究生:

1. 方向一:耦合数据驱动-物理执行的复杂场景多模式交通建模

2. 方向二:基于新能源汽车移动储能的区域微电网建模与电价激励优化

Education Background

2019.10 2021.1

  • 莫纳什大学
  • 交通运输规划与管理
  • 联合培养博士

2017.9 2023.6

  • 北京航空航天大学
  • 交通运输规划与管理
  • Doctorate
  • Graduate student graduate

2012.9 2016.6

  • 太原理工大学
  • 土木工程
  • Baccalaureate
  • Undergraduate graduation

Work Experience

Social Affiliations

Research Focus

  • 基于逆强化学习的微观交通行为
  • 数据驱动下异质交通流建模