BTR#8 (Western Track) Session 6: Traffic Prediction, Simulation, and Computational Methods

BTR conference website: https://bridgingtransport.org/ Session Chair: Dr. Fatemeh Fakhrmoosavi (UConn) [0:00:00] Introduction [0:06:46] CHEER: Calculating Holistic Energy Estimates on Route: A Fine-Grained, Quasi-Real-Time System for Computing the Energy Impact of Personal Transportation - Abigail Wheelis, Natalie Schultz, Jack Greenlee, Jacques Fleischer, Louis Grassi, K. Shankari (National Lab of Rockies) [0:24:21] A Robust Multi-Cluster Correction Method for Parallelizing Large Discrete-Event Simulations - Silvano Bernabel, Felisa Vázquez-Abad (CUNY) [0:43:34] Behavior-Aware Traffic Prediction for Hurricane Evacuations via Adversarial Inverse Reinforcement Learning & Deep Neural Networks - Daniel Udekwe, Qianwen (Vivian) Guo (Florida State University) [1:01:24] Reinforcement Learning-Guided Dynamic Multi-Graph Fusion for Evacuation Traffic Prediction - Md Nafees Fuad Rafi, Samiul Hasan (University of Central Florida) [1:27:00] Structural Compatibility Between Physical & Learning Models: Quantifying AI Gain in Fundamental Diagram-Based Traffic Prediction - Yuyan Pan, Qianwen Guo, Xianbiao Hu, Xuesong Zhou (Florida State, Penn State, Arizona State)