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Xuan Sharon Di
Xuan Sharon Di
Associate Professor at Civil Engineering & Engineering Mechanics, Columbia University
Zweryfikowany adres z columbia.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
A survey on autonomous vehicle control in the era of mixed-autonomy: From physics-based to ai-guided driving policy learning
X Di, R Shi
Transportation Research Part C 125, 2021
2342021
Boundedly rational route choice behavior: A review of models and methodologies
X Di, HX Liu
Transportation Research Part B: Methodological 85, 142-179, 2016
1862016
A physics-informed deep learning paradigm for traffic state and fundamental diagram estimation
R Shi, Z Mo, K Huang, X Di, Q Du
IEEE Transactions on Intelligent Transportation Systems 23 (8), 11688-11698, 2021
163*2021
A physics-informed deep learning paradigm for car-following models
Z Mo, R Shi, X Di
Transportation research part C: emerging technologies 130, 103240, 2021
1582021
Measuring the impact of an unanticipated suspension of ride-sourcing in Austin, Texas
RC Hampshire, C Simek, T Fabusuyi, X Di, X Chen
SSRN Electron. J 10, 2017
148*2017
Boundedly rational user equilibria (BRUE): mathematical formulation and solution sets
X Di, HX Liu, JS Pang, XJ Ban
Procedia-Social and Behavioral Sciences 80, 231-248, 2013
1352013
Second best toll pricing within the framework of bounded rationality
X Di, HX Liu, XJ Ban
Transportation Research Part B: Methodological 83, 74-90, 2016
952016
A link-node reformulation of ridesharing user equilibrium with network design
X Di, R Ma, HX Liu, XJ Ban
Transportation Research Part B: Methodological 112, 230-255, 2018
942018
Optimal passenger-seeking policies on E-hailing platforms using Markov decision process and imitation learning
Z Shou, X Di, J Ye, H Zhu, H Zhang, R Hampshire
Transportation Research Part C: Emerging Technologies 111, 91-113, 2020
932020
Large-scale short-term urban taxi demand forecasting using deep learning
S Liao, L Zhou, X Di, B Yuan, J Xiong
2018 23rd Asia and south pacific design automation conference (ASP-DAC), 428-433, 2018
872018
Braess paradox under the boundedly rational user equilibria
X Di, X He, X Guo, HX Liu
Transportation Research Part B: Methodological 67, 86-108, 2014
802014
Multi-agent reinforcement learning for Markov routing games: A new modeling paradigm for dynamic traffic assignment
Z Shou, X Chen, Y Fu, X Di
Transportation Research Part C: Emerging Technologies 137, 103560, 2022
72*2022
A unified equilibrium framework of new shared mobility systems
X Di, XJ Ban
Transportation Research Part B: Methodological 129, 50-78, 2019
702019
Reward Design for Driver Repositioning Using Multi-Agent Reinforcement Learning
Z Shou, X Di
Transportation Research Part C 119 (102738), 2020
672020
An LSTM-based autonomous driving model using a waymo open dataset
Z Gu, Z Li, X Di, R Shi
Applied Sciences 10 (6), 2046, 2020
642020
Autonomous navigation at unsignalized intersections: A coupled reinforcement learning and model predictive control approach
R Bautista-Montesano, R Galluzzi, K Ruan, Y Fu, X Di
Transportation research part C: emerging technologies 139, 103662, 2022
582022
CVLight: Decentralized learning for adaptive traffic signal control with connected vehicles
Z Mo, W Li, Y Fu, K Ruan, X Di
Transportation research part C: emerging technologies 141, 103728, 2022
572022
A game-theoretic framework for autonomous vehicles velocity control: Bridging microscopic differential games and macroscopic mean field games
X Huang, Kuang, Di, Xuan, Du, Qiang, Chen
Discrete and Continuous Dynamical Systems - Series B 25 (12), 4869-4903, 2020
55*2020
Indifference bands for boundedly rational route switching
X Di, HX Liu, S Zhu, DM Levinson
Transportation 44 (5), 1169-1194, 2017
552017
Ridesharing user equilibrium and its implications for high-occupancy toll lane pricing
X Di, HX Liu, X Ban, H Yang
Transportation Research Record 2667 (1), 39-50, 2017
542017
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