Personal profile
Research profile
Xue Yao is a postdoctoral researcher in the Digitisation & AI For Mobility Network Dynamics (DAIMoND) Lab at the Department of Transport & Planning, TU Delft. She works for AiMTT project, and her research focuses on Data, AI, and Multi-modal Traffic Management.
Education/Academic qualification
Unknown, Master's degree, Heterogeneous driving behaviour modelling and cooperative lane-changing in mixed traffic flow, Southwest Jiaotong University
1 Sept 2021 → 15 Dec 2021
Award Date: 15 Dec 2021
Keywords (LCC)
- TA Engineering (General). Civil engineering (General)
- Driving behaviour
- Traffic flow
- Mixed traffic
- Traffic management
- AI Engineering
- Active Inference
Fingerprint
- 1 Similar Profiles
Collaborations and top research areas from the last five years
-
Driving Heterogeneity in Traffic Flow Theory: An Action-based Framework for Identification, Modelling, and Simulation
Yao, X., 2026, 187 p.Research output: Thesis › Dissertation (TU Delft)
Open AccessFile71 Downloads (Pure) -
A Novel Framework for Identifying Driving Heterogeneity Through Action Patterns
Yao, X., Calvert, S. C. & Hoogendoorn, S. P., 2025, In: IEEE Transactions on Intelligent Transportation Systems. 26, 8, p. 12488-12500 13 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile3 Link opens in a new tab Citations (Scopus)39 Downloads (Pure) -
Driving heterogeneity identification using machine learning: A review and framework for analysis
Yao, X., Calvert, S. C. & Hoogendoorn, S. P., 2025, In: Transportation Research Interdisciplinary Perspectives. 32, 13 p., 101511.Research output: Contribution to journal › Review article › peer-review
Open AccessFile97 Downloads (Pure) -
Cooperative lane-changing in mixed traffic: a deep reinforcement learning approach
Yao, X., Du, Z., Sun, Z., Calvert, S. C. & ji, A., 2024, In: Transportmetrica A: Transport Science. 22, 1, 23 p., 1.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile16 Link opens in a new tab Citations (Scopus)59 Downloads (Pure) -
Investigation on car-following heterogeneity and its impacts on traffic safety and sustainability
Yao, X., Yan, Q., Sun, Z., Calvert, S. C. & Hoogendoorn, S. P., 2024, In: Transportmetrica A: Transport Science. 25 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile12 Link opens in a new tab Citations (Scopus)113 Downloads (Pure)
Datasets
-
Data pertaining to Chapter 5 "A Novel Framework for Understanding and Identifying Driving Heterogeneity through Action Patterns"
Yao, X. (Creator), TU Delft - 4TU.ResearchData, 2025
DOI: 10.4121/F0D9D36B-6170-4A0D-836F-6E3BD8560AE9
Dataset/Software: Dataset
-
Data pertaining to Chapter 6 "Human Driving Patterns - A Knowledge-Enhanced Deep Learning Approach for Behaviour Modelling"
Yao, X. (Creator), TU Delft - 4TU.ResearchData, 2025
DOI: 10.4121/07A8E039-CA91-4ACF-9D84-B6513155DBA6
Dataset/Software: Dataset
-
Data pertaining to Chapter 7 "A Pattern-based Framework for Modelling Driving Heterogeneity and Traffic Flow Simulation"
Yao, X. (Creator), TU Delft - 4TU.ResearchData, 2025
DOI: 10.4121/0B9F903C-C8DE-4B5E-B880-A1E9F2E2B052
Dataset/Software: Dataset
-
Data pertaining to Chapter 2 "Driving Heterogeneity Identification using Machine Learning: A Review and Framework for Analysis"
Yao, X. (Creator), TU Delft - 4TU.ResearchData, 2025
DOI: 10.4121/528FA9ED-0CCC-4E19-B1C6-5BDFC4E9A7C6
Dataset/Software: Dataset
-
Data pertaining to Chapter 4 "Identification of Driving Heterogeneity using Action-chains"
Yao, X. (Creator), TU Delft - 4TU.ResearchData, 2025
DOI: 10.4121/0DBF6809-9C88-4967-8556-C798621EBFA4
Dataset/Software: Dataset