Haotian Shi
长聘副教授
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates
Administrative Position: Tenured Associate Professor
Education Level: Doctor′s Degree graduated
Degree: Doctor of Philosophy
Professional Title: 长聘副教授
Academic Titles: Tenured Associate Professor
Alma Mater: University of Wisconsin-Madison
Discipline:
Transportation Planning and Management
Achievements of The Thesis
- [1]Haotian Shi.Longitudinal control of connected and automated vehicles among signalized intersections in mixed traffic flow with deep reinforcement learning approachRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS:PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS,2023,629
- [2]Haotian Shi.Traffic oscillation mitigation with physics-enhanced residual learning (PERL)-based predictive controlRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS:COMMUNICATIONS IN TRANSPORTATION RESEARCH,2024,4
- [3]Haotian Shi.Bus travel feature inference with small samples based on multi-clustering topic model over Internet of ThingsRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS:FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE,2025,163
- [4]Haotian Shi.A distributed deep reinforcement learning-based integrated dynamic bus control system in a connected environment111 RIVER ST, HOBOKEN 07030-5774, NJ USA:COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING,2022,37(SI):2016-2032.
- [5]Haotian Shi.A deep reinforcement learning based distributed control strategy for connected automated vehicles in mixed traffic platoonTHE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND:TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES,2023,148
- [6]Haotian Shi.Physically Analyzable AI-Based Nonlinear Platoon Dynamics Modeling During Traffic Oscillation: A Koopman Approach445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA:IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2025,
- [7]Haotian Shi.Physical enhanced residual learning (PERL) framework for vehicle trajectory predictionRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS:COMMUNICATIONS IN TRANSPORTATION RESEARCH,2025,5
- [8]Haotian Shi.Online adaptive platoon control for connected and automated vehicles via physics enhanced residual learningTHE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND:TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES,2025,178
- [9]Haotian Shi.Physics-informed deep reinforcement learning-based integrated two-dimensional car-following control strategy for connected automated vehiclesRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS:KNOWLEDGE-BASED SYSTEMS,2023,269
- [10]Haotian Shi.Generative adversarial network for car following trajectory generation and anomaly detection530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106 USA:JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS,2025,29(1):53-66.