2 citations · 3 across the 9 of their papers we have counts for
10 papers
On the Input Sensitivity of METANET Models and the Robustness of Dynamic Calibration
Cameron Hickert, Shreyaa Raghavan, Cathy Wu
While traffic modeling and control rely upon effective calibration of macroscopic traffic simulation models like METANET, recent empirical work shows these models can exhibit sever…
Toward Controllability-Aware Performance Measures: A Case Study on Controllable Highway Congestion
Shreyaa Raghavan, Edgar Ramirez-Sanchez, Zhengbing He +1
Advancements in emerging intelligent transportation systems (ITS) have shown immense benefit in reducing congestion, emissions, and accidents and enable lower-cost alternatives to…
An Open-Source Tool for Reproducible Freeway Network Extraction from OpenStreetMap
Drew Miller, Cathy Wu
Freeway simulation is often difficult to deploy at scale not only because of model formulation, but because preparing road network inputs remains a manual, corridor-specific, and d…
Noise-Aware Generative Microscopic Traffic Simulation
Vindula Jayawardana, Catherine Tang, Junyi Ji +3
Accurately modeling individual vehicle behavior in microscopic traffic simulation remains a key challenge in intelligent transportation systems, as it requires vehicles to realisti…
A Roadmap for Climate-Relevant Robotics Research
Alan Papalia, Charles Dawson, Laurentiu L. Anton +25
Climate change is one of the defining challenges of the 21st century, and many in the robotics community are looking for ways to contribute. This paper presents a roadmap for clima…
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…
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…
What is a typical signalized intersection in a city? A pipeline for intersection data imputation from OpenStreetMap
Ao Qu, Anirudh Valiveru, Catherine Tang +3
Signalized intersections, arguably the most complicated type of traffic scenario, are essential to urban mobility systems. With recent advancements in intelligent transportation te…
Model-free Learning of Corridor Clearance: A Near-term Deployment Perspective
Dajiang Suo, Vindula Jayawardana, Cathy Wu
An emerging public health application of connected and automated vehicle (CAV) technologies is to reduce response times of emergency medical service (EMS) by indirectly coordinatin…
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…