6 citations · 8 across the 6 of their papers we have counts for
6 papers
Customized Generative AI Agent for Transportation Engineering Practice: A Development and Continued Pre-training Guideline
Dianwei Chen, Yuan-Zheng Lei, Zifan Zhang +2
Recent advancements in generative artificial intelligence (AI) and large language models (LLMs) have shown significant promise in automating complex reasoning, summarization, and q…
Improving Feasibility in Quantum Approximate Optimization Algorithm for Vehicle Routing via Constraint-Aware Initialization and Hybrid XY-X Mixing
Yuan-Zheng Lei, Yaobang Gong, Xianfeng Terry Yang +1
The Quantum Approximate Optimization Algorithm (QAOA) is a leading framework for quantum combinatorial optimization. The Vehicle Routing Problem (VRP), a core problem in logistics…
Reconstructing Physics-Informed Machine Learning for Traffic Flow Modeling: a Multi-Gradient Descent and Pareto Learning Approach
Yuan-Zheng Lei, Yaobang Gong, Dianwei Chen +2
Physics-informed machine learning (PIML) is crucial in modern traffic flow modeling because it combines the benefits of both physics-based and data-driven approaches. In convention…
Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis
Yuan-Zheng Lei, Yaobang Gong, Dianwei Chen +2
This study investigates why physics-informed machine learning (PIML) can fail in macroscopic traffic flow modeling. We define failure as cases where a PIML model underperforms both…
A Scalable Min-Max Multi-Gradient Descent Method for Multi-Objective Transportation Problems
Yuan-Zheng Lei, Yaobang Gong, Xianfeng Terry Yang
This paper develops a scalable min-max multi-gradient descent framework for multi-objective transportation problems with competing objectives and high-dimensional constraints. Unli…
Unraveling stochastic fundamental diagrams considering empirical knowledge: modeling, limitation and further discussion
Yuan-Zheng Lei, Yaobang Gong, Xianfeng Terry Yang
Traffic flow modeling relies heavily on fundamental diagrams. However, deterministic fundamental diagrams, such as single or multi-regime models, cannot capture the uncertainty pat…