Research output per year
Research output per year
Personal profile
Research profile
Yiru Jiao is a PhD candidate in CityAI lab and DiTT lab from 15 Jan. 2021. Her research interests are generally in human's interactive behaviour and collective intelligence, with a current focus on driving in urban traffic. Read more about her studies at CityAI lab’s project site. Her PhD research is about:
- Vehicle interaction 1) among human drivers and 2) between human drivers and automated vehicles in urban traffic.
- Enhancing traffic safety, promoting travel efficiency, and gaining more understanding of human driving behaviour.
Academic background
Prior to joining TU Delft, she obtained her Bachelor’s degree in Industrial Engineering from Northeastern University (CN) in 2018 and Master's degree in Management Science and Engineering from Harbin Institute of Technology in 2020.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Keywords (LCC)
- H Social Sciences (General)
- Human behaviour
- Self-organization
- HA Statistics
- Probabilities
- Machine Learning
- TA Engineering (General). Civil engineering (General)
- Smart cities
- Data sharing
- Privacy-preserving
- HE Transportation and Communications
- Traffic flow
- Transportation safety
- Vehicle interaction
- Driving behaviour
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Beyond behavioural change: Investigating alternative explanations for shorter time headways when human drivers follow automated vehicles
Jiao, Y., Li, G., Calvert, S. C., van Cranenburgh, S. & van Lint, H., 2024, In: Transportation Research Part C: Emerging Technologies. 164, 20 p., 104673.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile27 Downloads (Pure) -
Evaluating the safety and efficiency impacts of forced lane change with negative gaps based on empirical vehicle trajectories
Chen, K., Li, Z., Liu, P., Knoop, V. L., Han, Y. & Jiao, Y., 2024, In: Accident Analysis and Prevention. 203, 14 p., 107622.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile -
Lateral conflict resolution data derived from Argoverse-2: Analysing safety and efficiency impacts of autonomous vehicles at intersections
Li, G., Jiao, Y., Calvert, S. C. & van Lint, J. W. C., 2024, In: Transportation Research Part C: Emerging Technologies. 167, 20 p., 104802.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile24 Downloads (Pure) -
Minimising Missed and False Alarms: A Vehicle Spacing based Approach to Conflict Detection
Jiao, Y., Calvert, S. C. & Van Lint, H., 2024, 35th IEEE Intelligent Vehicles Symposium, IV 2024. IEEE, p. 1982-1987 6 p. (IEEE Intelligent Vehicles Symposium, Proceedings).Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
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Inferring vehicle spacing in urban traffic from trajectory data
Jiao, Y., Calvert, S. C., van Cranenburgh, S. & van Lint, H., 2023, In: Transportation Research Part C: Emerging Technologies. 155, 14 p., 104289.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile3 Citations (Scopus)94 Downloads (Pure)
Datasets
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A Comparative Conflict Resolution Dataset Derived from Argoverse-2: Scenarios with vs. without Autonomous Vehicles
Li, G. (Creator), Jiao, Y. (Creator), Calvert, S. C. (Creator) & van Lint, J. W. C. (Creator), TU Delft - 4TU.ResearchData, Sept 2023
DOI: 10.4121/8D6EE0B0-8ED5-43F3-B1C9-7665CC163E87
Dataset/Software: Dataset
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Large Car-following Dataset Based on Lyft level-5: Following Autonomous Vehicles vs. Human-driven Vehicles
Li, G. (Creator), Jiao, Y. (Creator), Knoop, V. L. (Creator), Calvert, S. C. (Creator) & van Lint, J. W. C. (Creator), TU Delft - 4TU.ResearchData, 31 May 2023
DOI: 10.4121/1255994C-C64F-40F5-8121-9E952E308C9A
Dataset/Software: Dataset