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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Being part of Delft AI Labs Programme, Yiru Jiao joined CityAI lab and DiTT lab as a PhD student from 15 Jan. 2021. She is under the supervision of Dr.ir. Simeon C. Calvert, Dr.ir. Sander van Cranenburgh, and Prof.dr.ir. Hans van Lint.

My research aims at safer traffic for all modes of road users by automated technologies, including but not limited to automated vehicles, data-empowered traffic monitoring, and data-driven infrastructure&policy improvement. Most of my papers published during PhD are openly accessible thanks to TU Delft Library. For every paper, experiment code and instructions are open-sourced at GitHub. To know a bit more about my PhD research, you are welcome to visit CityAI lab project site.

This digital CV is very bibliometrically formed for HR’s or quantitative eyes. You are invited to visit my GitHub page and use a qualitative view to look at me and my research. I believe all researchers in academia would ask the same. We work for a better world, not for producing publications.

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

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.

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.

Education

Nov. 2024 TIL6022 TIL Python Programming, final group assignment grading

Sep. 2023- Jun. 2024 Master thesis supervision, “Impacts of micro-scale built environment features on residential location choice: a computer vision-aided assessment”

Apr. 2024 - Jun. 2024 CTB3000 Bachelor eindwerk, advisor on “Human factors in roundabout design in urban areas”

Sep. 2023 - Nov. 2023 IFEEMCS520100 Fundamentals of Artificial Intelligence Programme, project supervision and grading

Sep. 2023 - Oct. 2023 TIL 4020-20 Research Project, group workshop

Apr. 2023 - Jun. 2023 CTB3000 Bachelor eindwerk, supervision and evaluation

Sep. 2022 - Jan. 2023 CIE5050 Additional Master Thesis, supervision: Analysis on the heterogeneity of proximity resistance in car following

Oct. 2022 MUDE (Modelling, Uncertainty and Data for Engineers) poster and coding session, teaching assistance

Apr. 2022 - Jul. 2022 CIE4845 Emerging Topics for Transport & Planning, supervision and grading

Sep. 2021 - Dec. 2021 CS4320TU Applied AI project, supervision and grading: Detecting traffic jam with urban trajectory data

Academic services

Membership/Representative

Reviewer for conferences

  • IEEE ITSC
  • IEEE IV

Reviewer for journals

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

Awards/grants

2022

  • Delft AI Labs North America travel grant

2019

  • 2018-2019 China National Scholarship for Postgraduate Student

2017

  • Meritorious Winner of 2017 Interdisciplinary Contest in Modeling
  • 2016-2017 China National Scholarship

2016

  • Meritorious Winner of 2016 Mathematical Contest in Modeling
  • 2015-2016 China National Scholarship

Background

Jan. 2021 - (expected) Nov. 2025 Delft University of Technology
PhD candidate in the Department of Transport & Planning, fully funded by Delft AI Labs Programme for 5 years.

Sep. 2018 - Jul. 2020 Harbin Institute of Technology
Master in Management Science and Engineering
GPA: 91.545, Rank: 2/39
Thesis: An active opinion dynamics model: modelling group opinion evolution under active interactions (Outstanding master thesis of Harbin Institute of Technology)

Sep. 2014 - Jun. 2018 Northeastern University (CN)
Bachelor in Industrial Engineering
GPA: 90.435, Rank: 2/57
Thesis: Method and application of Kansei knowledge extraction based on Language Technology Platform and online reviews