activity
20232025
most citedReducing Detailed Vehicle Energy Dynamics to Physics-Like Models

7 citations · 27 across the 7 of their papers we have counts for

collaborators

8 papers

eess.SY2025

Validation and Calibration of Energy Models with Real Vehicle Data from Chassis Dynamometer Experiments

Joy Carpio, Sulaiman Almatrudi, Nour Khoudari +5

Accurate estimation of vehicle fuel consumption typically requires detailed modeling of complex internal powertrain dynamics, often resulting in computationally intensive simulatio…

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…

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…

eess.SY2023★ 7 cited

Reducing Detailed Vehicle Energy Dynamics to Physics-Like Models

Nour Khoudari, Sulaiman Almatrudi, Rabie Ramadan +6

The energy demand of vehicles, particularly in unsteady drive cycles, is affected by complex dynamics internal to the engine and other powertrain components. Yet, in many applicati…

physics.soc-ph2023

Macroscopic Manifestations of Traffic Waves in Microscopic Models

Nour Khoudari, Rabie Ramadan, Megan Ross +1

Traffic waves can rise even from single lane car-following behaviour. To better understand and mitigate traffic waves, it is necessary to use analytical tools like mathematical mod…