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20212025
most citedReducing Detailed Vehicle Energy Dynamics to Physics-Like Models

7 citations · 25 across the 10 of their papers we have counts for

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5 papers · 1 filter

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.SY20244 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.SY20247 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.SY20233 cited

Traffic smoothing using explicit local controllers

Amaury Hayat, Arwa Alanqary, Rahul Bhadani +16

The dissipation of stop-and-go waves attracted recent attention as a traffic management problem, which can be efficiently addressed by automated driving. As part of the 100 automat…

eess.SY20237 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…