activity
19922024
most citedDissipation of stop-and-go waves via control of autonomous vehicles: Field experiments

814 citations · 2.5k across the 69 of their papers we have counts for

collaborators

78 papers

physics.soc-ph2024★ 5 cited

Scalable analysis of stop-and-go waves: Representation, measurements and insights

Junyi Ji, Derek Gloudemans, Yanbing Wang +5

Analyzing stop-and-go waves at the scale of miles and hours of data is an emerging challenge in traffic research. The past 5 years have seen an explosion in the availability of lar…

eess.SY2024★ 7 cited

Stop-and-go wave super-resolution reconstruction via iterative refinement

Junyi Ji, Alex Richardson, Derek Gloudemans +6

Stop-and-go waves are a fundamental phenomenon in freeway traffic flow, contributing to inefficiencies, crashes, and emissions. Recent advancements in high-fidelity sensor technolo…

eess.SY2024★ 4 cited

Designing, simulating, and performing the 100-AV field test for the CIRCLES consortium: Methodology and Implementation of the Largest mobile traffic control experiment to date

Mostafa Ameli, Sean Mcquade, Jonathan W. Lee +20

Previous controlled experiments on single-lane ring roads have shown that a single partially autonomous vehicle (AV) can effectively mitigate traffic waves. This naturally prompts…

eess.SY2024★ 7 cited

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

Jonathan W. Lee, Han Wang, Kathy Jang +61

The CIRCLES project aims to reduce instabilities in traffic flow, which are naturally occurring phenomena due to human driving behavior. These "phantom jams" or "stop-and-go waves,…

eess.SY2024

Hierarchical Speed Planner for Automated Vehicles: A Framework for Lagrangian Variable Speed Limit in Mixed Autonomy Traffic

Han Wang, Zhe Fu, Jonathan Lee +14

This paper introduces a novel control framework for Lagrangian variable speed limits in hybrid traffic flow environments utilizing automated vehicles (AVs). The framework was valid…

eess.SY2024★ 5 cited

Reinforcement Learning Based Oscillation Dampening: Scaling up Single-Agent RL algorithms to a 100 AV highway field operational test

Kathy Jang, Nathan Lichtlé, Eugene Vinitsky +10

In this article, we explore the technical details of the reinforcement learning (RL) algorithms that were deployed in the largest field test of automated vehicles designed to smoot…