作为 Delft AI Labs & Talent 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.
她的研究兴趣在于利用自动化技术为道路使用者保障交通安全，包括安全自动驾驶的训练与验证、数据赋能的交通安全状态监测、和数据驱动的应急决策响应。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，
- 全场景、可泛化、可规模化的数据驱动驾驶安全模型。
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, Simeon C. Calvert. (2025). Bird’s eye view trajectory reconstruction of naturalistic crashes and near-crashes in the SHRP2 NDS. Virginia Tech Transportation Institute (VITTI). doi: 10.15787/VTT1/EFYEJR.
- Yiru Jiao. (2025). Vectorised surrogate safety measures for traffic interactions in two-dimensional space. Available at GitHub under MIT license, link to use.
- 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
May 2025
CIEQ6222 Traffic Safety, 客座讲座，主题为“数据驱动的替代安全度量”
Nov. 2024
TIL6022 TIL Python Programming, 小组作业评分
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
2023年月 - 2024年11月荷兰交通、设施、与物流研究协会（Dutch Research School for Transport, Infrastructure and Logistics (TRAIL)）代尔夫特理工大学博士生代表。协助举办TRAIL Congress 2024。
会议审稿人
- IEEE ITSC
- IEEE IV
期刊审稿人
- Transportation Research Part C
- IEEE Transactions on Intelligent Transportation Systems
- Transportation Research Record
- Nature Communications Engineering
- International Journal of Intelligent Transportation Systems Research
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 & Talent 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