activity
20162024
most citedAre commercially implemented adaptive cruise control systems string stable?

282 citations · 361 across the 12 of their papers we have counts for

collaborators

12 papers

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.SY2023★ 53 cited

Car-Following Models: A Multidisciplinary Review

Tianya Zhang, Ph. D., Peter J. Jin +3

Car-following (CF) algorithms are crucial components of traffic simulations and have been integrated into many production vehicles equipped with Advanced Driving Assistance Systems…

eess.SY2022★ 8 cited

A rigorous multi-population multi-lane hybrid traffic model and its mean-field limit for dissipation of waves via autonomous vehicles

Nicolas Kardous, Amaury Hayat, Sean T. McQuade +7

In this paper, a multi-lane multi-population microscopic model, which presents stop and go waves, is proposed to simulate traffic on a ring-road. Vehicles are divided between human…

q-bio.PE2022

Optimization of vaccination for COVID-19 in the midst of a pandemic

Qi Luo, Ryan Weightman, Sean T. McQuade +6

During the Covid-19 pandemic a key role is played by vaccination to combat the virus. There are many possible policies for prioritizing vaccines, and different criteria for optimiz…

cs.LG2021★ 1 cited

A deep language model to predict metabolic network equilibria

François Charton, Amaury Hayat, Sean T. McQuade +2

We show that deep learning models, and especially architectures like the Transformer, originally intended for natural language, can be trained on randomly generated datasets to pre…

eess.SY2021

Integrated Framework of Vehicle Dynamics, Instabilities, Energy Models, and Sparse Flow Smoothing Controllers

Jonathan W. Lee, George Gunter, Rabie Ramadan +25

This work presents an integrated framework of: vehicle dynamics models, with a particular attention to instabilities and traffic waves; vehicle energy models, with particular atten…

eess.SY2021★ 2 cited

Limitations and Improvements of the Intelligent Driver Model (IDM)

Saleh Albeaik, Alexandre Bayen, Maria Teresa Chiri +7

This contribution analyzes the widely used and well-known "intelligent driver model (briefly IDM), which is a second order car-following model governed by a system of ordinary diff…

q-bio.MN2020★ 1 cited

Metabolic graphs, LIFE method and the modeling of drug action on Mycobacterium tuberculosis

Sean T. McQuade, Nathaniel J. Merrill, Benedetto Piccoli

This paper serves as a framework for designing advanced models for drug action on metabolism. Drug treatment may affect metabolism by either enhancing or inhibiting metabolic react…

eess.SY2019★ 282 cited

Are commercially implemented adaptive cruise control systems string stable?

George Gunter, Derek Gloudemans, Raphael E. Stern +9

In this article, we assess the string stability of seven 2018 model year adaptive cruise control (ACC) equipped vehicles that are widely available in the US market. Seven distinct…

math.OC2018★ 3 cited

Stability of Metabolic Networks via Linear-In-Flux-Expressions

Nathaniel J. Merrill, Zheming An, Sean T. McQuade +4

The methodology named LIFE (Linear-in-Flux-Expressions) was developed with the purpose of simulating and analyzing large metabolic systems. With LIFE, the number of model parameter…

math.DS2016

Interaction Network, State Space and Control in Social Dynamics

Aylin Aydogdu, Marco Caponigro, Sean McQuade +4

In the present chapter we study the emergence of global patterns in large groups in first and second-order multi-agent systems, focusing on two ingredients that influence the dynam…