X. (Xue) Yao

Profile

Xue Yao is a PhD candidate in the Data Analytics and Traffic Simulation Lab (DiTTlab) at the department of Transport & Planning. Her research is focused on Traffic heterogeneity with Connectivity and Connected Automated Vehicles. Prior to joining TU Delft, she obtained her MSc in Traffic and Transportation Engineering from Southwest Jiaotong University in 2021(half a year ahead of schedule) and BSs in Traffic Engineering from Shandong University of Technology in 2019. She was also an exchange student at Sungkyunkwan University (South Korea) during undergraduate. In 2017, she was invited by the Japanese government as a representative of young students to conduct friendly exchanges in administration, economy, academics, etc..

Research

Xue’s current research aims to investigate and develop traffic theory on traffic heterogeneity with the view of a future with mixed connected automated vehicles and connected (road-side) technology. Based on the developed theory, driving behavior model will be developed to describe human driving behavior with high accuracy which is of great importance to motion planning of connected automated vehicles.  

Traffic Heterogeneity with Connectivity and Connected Automated Vehicles

In the past decade, the increasing prospect of vehicle and infrastructure connectivity has appeared, as well as the introduction of the first automated vehicles, which build on decades of development of Advanced Driver Assistant Systems (ADAS). Much has been hypothesised about the potential influence of such technologies with a broad range of experimental (field testing and simulated) work being performed. However, there remains a lack of deeper theoretical understanding of the extent to which these technologies will influence the fundamental aspects of traffic heterogeneity, which is so key to traffic performance.

This PhD project is therefore initiated with the express purpose to investigate and develop traffic theory on traffic heterogeneity with the view of a future with mixed connected automated vehicles and connected (road-side) technology.

Xue Yao

PhD Candidate

  • X.Yao-3@tudelft.nl

  • Faculty of Civil Engineering and Geosciences
    Building 23
    Stevinweg 1
    2628 CN Delft

    Room: 4.02