34 citations · 112 across the 20 of their papers we have counts for
4 papers · 1 filter
Optimization Models for Estimating Transit Network Origin-Destination Flows with AVL/APC Data
Xinyu Liu, Pascal Van Hentenryck, Xilei Zhao
With the increasing adoption of Automatic Vehicle Location (AVL) and Automatic Passenger Count (APC) technologies by transit agencies, a massive amount of time-stamped and location…
Distilling Black-Box Travel Mode Choice Model for Behavioral Interpretation
Xilei Zhao, Zhengze Zhou, Xiang Yan +1
Machine learning has proved to be very successful for making predictions in travel behavior modeling. However, most machine-learning models have complex model structures and offer…
Modeling Heterogeneity in Mode-Switching Behavior Under a Mobility-on-Demand Transit System: An Interpretable Machine Learning Approach
Xilei Zhao, Xiang Yan, Pascal Van Hentenryck
Recent years have witnessed an increased focus on interpretability and the use of machine learning to inform policy analysis and decision making. This paper applies machine learnin…
Mobility-on-demand versus fixed-route transit systems: an evaluation of traveler preferences in low-income communities
Xiang Yan, Xilei Zhao, Yuan Han +2
Emerging transportation technologies, such as ride-hailing and autonomous vehicles, are disrupting the transportation sector and transforming public transit. Some transit observers…