xidong (alan) pi
My name is Xidong Pi, and you can also call me Alan. I am a PhD student in Department of Civil and Environmental Engineering at Carnegie Mellon University. My research interests lie in the optimization and control of infrastructure systems, especially transportation systems. I also have ample research and project experience in data mining/machine learning of mobility data.
I received my Master’s degree in Department of Civil and Environmental Engineering at Carnegie Mellon University in Spring 2015. And I received my Bachelor’s degrees in School of Environment (SOE) and School of Economics and Management (SEM) at Tsinghua University in 2010.
- Control theory, stochastic control, dynamic programming, approximate dynamic programming.
- Convex and non-convex optimization.
- Deep learning, Reinforcement learning.
- Mobility Data Analytics Platform website development. Responsible for Transit and Travel Time functions, and database management.
- Understanding Passenger’s Perception on Bus Fullness: Empirical Study of Bus Automatic Passenger Counters (APC) data and Tiramisu Fullness Rating data
- Xidong Pi, Mark Egge, Jackson Whitmore, Amy Silbermann, Zhen (Sean) Qian (2017) Understanding Transit System Performance Using AVL-APC Data: an Analytics Platform with Case Studies for the Pittsburgh Region. Submitted to Journal of Public Transportation.
- Xidong Pi, Zhen (Sean) Qian (2017) A stochastic optimal control approach for real-time traffic routing considering demand uncertainties and travelers’ choice heterogeneity. Transportation Research Part B. [URL]
- Xidong Pi, Sean Qian. Real-Time System-Optimal Traffic Routing Under Demand Uncertainties. Presentation in Transportation Research Board Annual Meeting 2017.
- Xidong Pi, Mark Egge, Jackson Whitmore, Amy Silbermann, Qian Zhen. Understanding Transit System Performance Using AVL-APC Data: an Analytics Platform with Case Studies for the Pittsburgh Region. Presentation in Transportation Research Board Annual Meeting 2017.
Xidong (Alan) Pi
Hamburg Hall 3047
Carnegie Mellon University