Jiao, Yiru 焦艺茹 bio photo

Jiao, Yiru 焦艺茹

PhD candidate at CityAI lab & DiTT lab, TU Delft

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作为 Delft AI Labs 项目的一员, 焦艺茹于2021年1月15日加入了 CityAI lab 和 DiTT lab攻读博士学位. 她的指导教授团队由 Dr.ir. Simeon C. Calvert, Dr.ir. Sander van Cranenburgh, 以及 Prof.dr.ir. Hans van Lint 组成.

她的研究目标是通过自动化技术（包括但不限于自动驾驶车辆、数据赋能的交通监测和基于数据的基础设施及政策改进）来提高所有道路使用者的交通安全。她的博士研究主要涉及：

  • 城市交通中人类驾驶员之间以及人类驾驶员与自动驾驶车辆之间的（安全和不安全的）交互行为，
  • 提升道路安全，促进自动驾驶，并加深对人类互动行为的理解。

这份电子简历是从文献计量学的角度为人力资源或注重定量评价的视角准备。欢迎您访问我的GitHub页面，从定性分析的视角了解我和我的研究；我相信所有学术研究人员都会有同样的请求——我们为创造一个更美好的世界而工作，而不是为了发表论文。

期刊文章发表

Publications

  • Yiru Jiao, Simeon C. Calvert, Sander van Cranenburgh, and Hans van Lint. (2025). A unified probabilistic approach to traffic conflict detection. Analytic Methods in Accident Research, 45, 100369. doi: 10.1016/j.amar.2024.100369
  • Guopeng Li, Yiru Jiao, Simeon C. Calvert, J.W.C. (Hans) van Lint. (2024) A Conflict Resolution Dataset Derived from Argoverse-2: Analysis of the Safety and Efficiency Impacts of Autonomous Vehicles at Intersections. Transportation Research Part C: Emerging Technologies, 167, 104802. doi: 10.1016/j.trc.2024.104802
  • Yiru Jiao, Guopeng Li, Simeon C. Calvert, Sander van Cranenburgh, and Hans van Lint. (2024). Beyond Behaviour Change: Investigating Alternative Explanations for Shorter Time Headways When Human Drivers Follow Automated Vehicles. Transportation Research Part C: Emerging Technologies, 164, 104673. doi: 10.1016/j.trc.2024.104673
  • Yiru Jiao, Simeon C. Calvert, Sander van Cranenburgh, and Hans van Lint. (2023). Inferring vehicle spacing in urban traffic from trajectory data. Transportation Research Part C: Emerging Technologies, 155, 104289. doi: 10.1016/j.trc.2023.104289
  • Yiru Jiao, Yongli Li. (2021). An active opinion dynamics model: the gap between the voting result and group opinion. Information Fusion, 65, 128-146. doi: 10.1016/j.inffus.2020.08.009
  • Yiru Jiao, Qing-Xing Qu. (2019). A proposal for Kansei knowledge extraction method based on natural language processing technology and online product reviews. Computers in Industry, 108, 1-11. doi: 10.1016/j.compind.2019.02.011
  • Zhongzhong Jiang, Yiru Jiao, Ying Sheng, Xiaohong Chen. (2017). A novel model and its algorithms for the shortest path problem of dynamic weight-varying networks in Intelligent Transportation Systems. Journal of Intelligent & Fuzzy Systems, 33(5), 3095-3102. doi: 10.3233/JIFS-169361

学术会议报告

Presentations

  • Yiru Jiao, Simeon C. Calvert, Sander van Cranenburgh, Hans van Lint. (2024, Oct 17–18, oral). A generalised data-driven framework for conflict detection in autonomous driving. 36th Annual Conference of International Cooperation on Theories and Concepts in Traffic safety (ICTCT), the Heague, Netherlands.
  • Yiru Jiao, Simeon C. Calvert, Hans van Lint. (2024, June 2–5, poster). Minimising Missed and False Alarms: A Vehicle Spacing based Approach to Conflict Detection. 35th IEEE Intelligent Vehicles Symposium, Jeju Island, South Korea. doi:10.1109/IV55156.2024.10588396
  • Yiru Jiao, Simeon C. Calvert, Hans van Lint. (2024, Jan 7–11, poster). Impacts of automated vehicles on human drivers following them: A focus on distance and time headway. Transportation Research Board 103rd Annual Meeting, Washington, D.C., United States.
  • Yiru Jiao, Simeon C. Calvert, Sander van Cranenburgh, Hans van Lint. (2023, Sep 24–28, oral). Identifying Vehicle Interaction at Urban Intersections: A Comparison of Proximity Resistance, Time-to-Collision, and Post-Encroachment-Time. 26th IEEE International Conference on Intelligent Transportation Systems ITSC 2023, Bilbao, Spain. doi:10.1109/ITSC57777.2023.10422682
  • Yiru Jiao, Simeon C. Calvert, Sander van Cranenburgh, Hans van Lint. (2023, Sep 6–8, oral). Varying critical time to collision: a perspective of driver space. hEART 2023: 11st Symposium of the European Association for Research in Transportation, Zürich, Switzerland.
  • Yiru Jiao, Sander van Cranenburgh, Simeon C. Calvert, Hans van Lint. (2022, June 1–3, oral). Probabilistic representation of driver space and its inference from trajectory data. hEART 2022: 10th Symposium of the European Association for Research in Transportation, Leuven, Belgium.

开源数据集/软件

Datasets/softwares

  • Yiru Jiao, (2024). Trajectory reconstruction of crashes and near-crashes from 100-Car NDS time-series data. Available at GitHub under MIT license, link to use.
  • Yiru Jiao, (2023). Fast calculation of two-dimensional Time-to-Collision. Available at GitHub under MIT license, link to use.
  • Guopeng Li, Yiru Jiao, Victor L. Knoop, Simeon C. Calvert and J. W. C. Van Lint. (2023) Large car-following data based on Lyft level-5 open dataset: Following autonomous vehicles vs. human-driven vehicles. IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), Bilbao, Spain. Link to download.
  • Guopeng Li, Yiru Jiao, Simeon C. Calvert, J.W.C. van Lint. (2023) A Conflict Resolution Dataset Derived from Argoverse-2: Analysis of the Safety and Efficiency Impacts of Autonomous Vehicles at Intersections. link to download.

教学助理/论文指导

Sep. 2023- Jun. 2024 硕士生毕业论文指导, 《Impacts of micro-scale built environment features on residential location choice: a computer vision-aided assessment》

2024年4月 - 2024年6月 CTB3000 Bachelor eindwerk （本科生毕业设计）, 指导项目《Human factors in roundabout design in urban areas》

2023年9月 - 2023年11月 IFEEMCS520100 Fundamentals of Artificial Intelligence Programme, 项目指导和评分

2023年9月 - 2023年10月 TIL 4020-20 Research Project, 小组讨论指导

2023年4月 - 2023年6月 CTB3000 Bachelor eindwerk （本科生毕业设计）, 项目指导和评分

2022年9月 - 2023年1月 CIE5050 Additional Master Thesis, 项目指导: Analysis on the heterogeneity of proximity resistance in car following

2022年10月 MUDE (Modelling, Uncertainty and Data for Engineers) poster and coding session, 教学助理

2022年4月 - 2022年7月 CIE4845 Emerging Topics for Transport & Planning, 项目指导和评分

2021年7月 - 2021年12月 CS4320TU Applied AI project, 项目指导和评分: Detecting traffic jam with urban trajectory data

学术服务

学术协会

会议审稿人

  • IEEE ITSC
  • IEEE IV

期刊审稿人

  • Transportation Research Part C
  • IEEE Transactions on ITS
  • Transportation Research Record
  • Nature Communications Engineering

获奖/资助

2022

  • Delft AI Labs North America travel grant

2019

  • 2018-2019 研究生国家奖学金

2017

  • Meritorious Winner 2017 国际数学建模大赛
  • 2016-2017 本科生国家奖学金

2016

  • Meritorious Winner 2016 国际数学建模大赛
  • 2015-2016 本科生国家奖学金

教育背景

2021年1月 - 2025年12月（按计划） 代尔夫特理工大学（Delft University of Technology）
运输与规划系（Transport & Planning）博士生
由 Delft AI Labs Programme 全额资助，为期5年

2018年9月 - 2020年7月 哈尔滨工业大学
管理科学与工程硕士
均分绩: 91.545, 排名: 2/39
毕业论文: 主动观点动力学模型（哈尔滨工业大学优秀毕业论文）

2014年9月 - 2018年6月 东北大学
工业工程学士
均分绩: 90.435, 排名: 2/57
毕业论文: 基于LTP（Language Technology Platform）和在线评论的感性知识提取方法与应用