most citedReducing Detailed Vehicle Energy Dynamics to Physics-Like Models

7 citations · 14 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO20234 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.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…

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…

cs.CV2023

So you think you can track?

Derek Gloudemans, Gergely Zachár, Yanbing Wang +10

This work introduces a multi-camera tracking dataset consisting of 234 hours of video data recorded concurrently from 234 overlapping HD cameras covering a 4.2 mile stretch of 8-10…

math.NA2023

Moment Methods for Advection on Networks and an Application to Forest Pest Life Cycle Models

Rujeko Chinomona, Kiera Kean, Benjamin Seibold +1

This paper develops low-dimensional moment methods for advective problems on networks of domains. The evolution of a density function is described by a linear advection-diffusion-r…