3 papers
cs.CV2026
Scalable Dynamic Origin-Destination Demand Estimation Enhanced by High-Resolution Satellite Imagery Data
Jiachao Liu, Pablo Guarda, Koichiro Niinuma +1
This study presents a novel integrated framework for dynamic origin-destination demand estimation (DODE) in multi-class mesoscopic network models, incorporating high-resolution sat…
cs.CE2026
On Path-based Marginal Cost of Heterogeneous Traffic Flow for General Networks
Jiachao Liu, Sean Qian
Path marginal cost (PMC) is a crucial component in solving path-based system-optimal dynamic traffic assignment (SO-DTA), dynamic origin-destination demand estimation (DODE), and n…
eess.SY2024
Efficient and Robust Freeway Traffic Speed Estimation under Oblique Grid using Vehicle Trajectory Data
Yang He, Chengchuan An, Yuheng Jia +3
Accurately estimating spatiotemporal traffic states on freeways is a significant challenge due to limited sensor deployment and potential data corruption. In this study, we propose…