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20232026
most citedTraffic Control via Connected and Automated Vehicles: An Open-Road Field Experiment with 100 CAVs

7 citations · 39 across the 13 of their papers we have counts for

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6 papers · 1 filter

cs.RO2025

Estimation of Kinematic Motion from Dashcam Footage

Evelyn Zhang, Alex Richardson, Jonathan Sprinkle

The goal of this paper is to explore the accuracy of dashcam footage to predict the actual kinematic motion of a car-like vehicle. Our approach uses ground truth information from t…

cs.RO2025

Incorporating Ephemeral Traffic Waves in A Data-Driven Framework for Microsimulation in CARLA

Alex Richardson, Azhar Hasan, Gabor Karsai +1

This paper introduces a data-driven traffic microsimulation framework in CARLA that reconstructs real-world wave dynamics using high-fidelity time-space data from the I-24 MOTION t…

cs.RO2025

OpenTwinMap: An Open-Source Digital Twin Generator for Urban Autonomous Driving

Alex Richardson, Jonathan Sprinkle

Digital twins of urban environments play a critical role in advancing autonomous vehicle (AV) research by enabling simulation, validation, and integration with emerging generative…

cs.RO2024

A Middle Way to Traffic Enlightenment

Matthew W. Nice, George Gunter, Junyi Ji +5

This paper introduces a novel approach that seeks a middle ground for traffic control in multi-lane congestion, where prevailing traffic speeds are too fast, and speed recommendati…

cs.RO2023★ 4 cited

Enabling Mixed Autonomy Traffic Control

Matthew Nice, Matt Bunting, Alex Richardson +8

We demonstrate a new capability of automated vehicles: mixed autonomy traffic control. With this new capability, automated vehicles can shape the traffic flows composed of other no…

cs.RO2023★ 4 cited

SAILing CAVs: Speed-Adaptive Infrastructure-Linked Connected and Automated Vehicles

Matthew Nice, Matthew Bunting, George Gunter +3

This work demonstrates a new capability in roadway control: Speed-adaptive, infrastructure-linked connected and automated vehicles. We develop and deploy a lightly modified vehicle…