3 papers
math.OC2026
Flow-Through Tensors: A Unified Computational Graph Architecture for Multi-Layer Transportation Network Optimization
Xuesong Zhou, Taehooie Kim, Mostafa Ameli +3
Modern transportation network modeling increasingly involves the integration of diverse methodologies including sensor-based forecasting, reinforcement learning, classical flow opt…
cs.LG2026
From Optimization to Prediction: Transformer-Based Path-Flow Estimation to the Traffic Assignment Problem
Mostafa Ameli, Sulthana Shams, Van Anh Le +1
The traffic assignment problem is essential for traffic flow analysis, traditionally solved using mathematical programs under the Equilibrium principle. These methods become comput…
cs.DL2026
Measuring the State of Open Science in Transportation Using Large Language Models
Junyi Ji, Ruth Lu, Linda Belkessa +8
Open science initiatives have strengthened scientific integrity and accelerated research progress across many fields, but the state of their practice within transportation research…