Ye Tian
Orcid: 0000-0002-2225-7566Affiliations:
- Metropia, Inc., Austin, TX, USA
- University of Arizona, Department of Civil Engineering and Engineering Mechanics, Tucson, AZ, USA (former)
According to our database1,
Ye Tian
authored at least 24 papers
between 2011 and 2025.
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Bibliography
2025
A Bayesian Optimization Method for Finding the Worst-Case Scenarios of Autonomous Vehicles.
IEEE Trans. Intell. Transp. Syst., January, 2025
2024
Sociality Probe: Game-Theoretic Inverse Reinforcement Learning for Modeling and Quantifying Social Patterns in Driving Interaction.
IEEE Trans. Intell. Transp. Syst., December, 2024
Accelerated Risk Assessment for Highly Automated Vehicles: Surrogate-Based Monte Carlo Method.
IEEE Trans. Intell. Transp. Syst., June, 2024
Accelerated Safety Testing for Highly Automated Vehicles: Application and Capability Comparison of Surrogate Models.
IEEE Trans. Intell. Veh., January, 2024
Operation of dedicated lanes with intermittent priority on highways: conceptual development and simulation validation.
J. Intell. Transp. Syst., January, 2024
Adaptive Design of Experiments for Fault Injection Testing of Highly Automated Vehicles.
IEEE Intell. Transp. Syst. Mag., 2024
High-Dimensional Fault Tolerance Testing of Highly Automated Vehicles Based on Low-Rank Models.
CoRR, 2024
2023
Characterizing the Impact of Autonomous Vehicles on Macroscopic Fundamental Diagrams.
IEEE Trans. Intell. Transp. Syst., June, 2023
2022
Scenario-Based Test Automation for Highly Automated Vehicles: A Review and Paving the Way for Systematic Safety Assurance.
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Trans. Intell. Transp. Syst., 2022
Vehicle Trajectory Reconstruction at Signalized Intersections Under Connected and Automated Vehicle Environment.
IEEE Trans. Intell. Transp. Syst., 2022
J. Intell. Transp. Syst., 2022
Risk Assessment of Highly Automated Vehicles with Naturalistic Driving Data: A Surrogate-based optimization Method.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022
Accelerated Testing for Highly Automated Vehicles: A Combined Method Based on Importance Sampling and Normalizing Flows.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
2021
Yield or Rush? Social-Preference-Aware Driving Interaction Modeling Using Game-Theoretic Framework.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
2020
Vehicle Turning Behavior Modeling at Conflicting Areas of Mixed-Flow Intersections Based on Deep Learning.
IEEE Trans. Intell. Transp. Syst., 2020
Modeling and simulation of overtaking events by heterogeneous non-motorized vehicles on shared roadway segments.
Simul. Model. Pract. Theory, 2020
Adaptive Design of Experiments for Accelerated Safety Evaluation of Automated Vehicles.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
2017
Expert Syst. Appl., 2017
2014
A Variable Time-Discretization Strategies-Based, Time-Dependent Shortest Path Algorithm for Dynamic Traffic Assignment.
J. Intell. Transp. Syst., 2014
Drivers' en-route divergence behavior modeling using extended belief-desire-intention (E-BDI) framework.
Proceedings of the 2014 Winter Simulation Conference, 2014
2011
Optimized combination model and algorithm of parking guidance information configuration.
EURASIP J. Wirel. Commun. Netw., 2011
Anisotropic mesoscopic traffic simulation approach to support large-scale traffic and logistic modeling and analysis.
Proceedings of the Winter Simulation Conference 2011, 2011
Proceedings of the 14th International IEEE Conference on Intelligent Transportation Systems, 2011