3 papers
cs.LG2025
NeuralMOVES: A lightweight and microscopic vehicle emission estimation model based on reverse engineering and surrogate learning
Edgar Ramirez-Sanchez, Catherine Tang, Yaosheng Xu +4
The transportation sector significantly contributes to greenhouse gas emissions, necessitating accurate emission models to guide mitigation strategies. Despite its field validation…
eess.SY2024
Mitigating Metropolitan Carbon Emissions with Dynamic Eco-driving at Scale
Vindula Jayawardana, Baptiste Freydt, Ao Qu +6
The sheer scale and diversity of transportation make it a formidable sector to decarbonize. Here, we consider an emerging opportunity to reduce carbon emissions: the growing adopti…
cs.LG2023
Data-Driven Traffic Reconstruction and Kernel Methods for Identifying Stop-and-Go Congestion
Edgar Ramirez Sanchez, Shreyaa Raghavan, Cathy Wu
Identifying stop-and-go events (SAGs) in traffic flow presents an important avenue for advancing data-driven research for climate change mitigation and sustainability, owing to the…