![Dr Qixiu Cheng](https://research-information.bris.ac.uk/ws/files/377037574/QX.png)
Dr Qixiu Cheng
Current positions
Lecturer in Artificial Intelligence & Data Analytics
School of Management - Business School
Contact
Press and media
Many of our academics speak to the media as experts in their field of research. If you are a journalist, please contact the University’s Media and PR Team:
Research interests
My name is Qixiu Cheng (程启秀). I have been a Lecturer in Artificial Intelligence and Data Analytics at the University of Bristol (UoB) Business School since September 2023. I’m focusing on exploring smart mobility systems with quantitative methods from multiple disciplines, e.g., transportation engineering, operations research, statistical analysis, and artificial intelligence. I am broadly interested in the research topics on transportation network modeling and optimization, freeway traffic management and control, and transportation big data analytics and urban informatics. My full publications can be found in my Google Scholar.
I am looking for self-motivated PhD students with a solid background in transportation engineering, operations research, and/or AI algorithms. The applicant should be familiar with at least one programming language (e.g., Python, Matlab, and C++). The English language requirement can be found here. If you are interested in pursuing a PhD degree working with me at the University of Bristol Business School, please send me your CV and transcripts at any time, and we can discuss more on your research topic. I also welcome visiting scholars and visiting PhD students, please send me an email if you are interested.
Publications
Selected publications
01/06/2024Using frequency domain analysis to elucidate travel time reliability along congested freeway corridors
Transportation Research Part B: Methodological
Analytical formulation for explaining the variations in traffic states
European Journal of Operational Research
An s-shaped three-parameter (S3) traffic stream model with consistent car following relationship
Transportation Research Part B: Methodological
Recent publications
15/03/2024A fundamental diagram based hybrid framework for traffic flow estimation and prediction by combining a Markovian model with deep learning
Expert Systems with Applications
Analytical formulation for explaining the variations in traffic states
European Journal of Operational Research
Dynamic Systems Modeling and Integrated Transportation Demand-and-Supply Management with a Polynomial Arrival Queue Model
Journal of Transportation Engineering, Part A: Systems
Integrated self-consistent macro-micro traffic flow modeling and calibration framework based on trajectory data
Transportation Research Part C: Emerging Technologies
Lane change decision prediction
Transportmetrica A: Transport Science