Daniel B. Work

Orcid: 0000-0003-0565-2158

Affiliations:
  • Vanderbilt University, Nashville, TN, USA


According to our database1, Daniel B. Work authored at least 91 papers between 2008 and 2024.

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Bibliography

2024
Reinforcement Learning Based Oscillation Dampening: Scaling up Single-Agent RL algorithms to a 100 AV highway field operational test.
CoRR, 2024

Traffic Control via Connected and Automated Vehicles: An Open-Road Field Experiment with 100 CAVs.
CoRR, 2024

Hierarchical Speed Planner for Automated Vehicles: A Framework for Lagrangian Variable Speed Limit in Mixed Autonomy Traffic.
CoRR, 2024

A Middle Way to Traffic Enlightenment.
CoRR, 2024

On the Constrained CAV Platoon Control Problem.
CoRR, 2024

So you think you can track?
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Enabling Mixed Autonomy Traffic Control.
CoRR, 2023

Traffic smoothing using explicit local controllers.
CoRR, 2023

MARVEL: Multi-Agent Reinforcement-Learning for Large-Scale Variable Speed Limits.
CoRR, 2023

SAILing CAVs: Speed-Adaptive Infrastructure-Linked Connected and Automated Vehicles.
CoRR, 2023

Polygon Intersection-over-Union Loss for Viewpoint-Agnostic Monocular 3D Vehicle Detection.
CoRR, 2023

CAVTraffic Control to Mitigate the Impact of Congestion from Bottlenecks: A Linear Quadratic Regulator Approach and Microsimulation Study.
CoRR, 2023

I-24 MOTION: An instrument for freeway traffic science.
CoRR, 2023

Detecting Socially Abnormal Highway Driving Behaviors via Recurrent Graph Attention Networks.
Proceedings of the ACM Web Conference 2023, 2023

Cooperative Multi-Agent Reinforcement Learning for Large Scale Variable Speed Limit Control.
Proceedings of the 2023 IEEE International Conference on Smart Computing, 2023

Evaluation of Traffic Signal Control at Varying Demand Levels: A Comparative Study.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Online Min Cost Circulation for Multi-Object Tracking on Fragments.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Platoon Trajectory Reconstruction with Conflict Resolution Using Semidefinite Relaxation.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Parameter Estimation for Decoding Sensor Signals.
Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems, 2023

WiP Abstract: Edge-Based Privacy of Naturalistic Driving Data Collection.
Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems, 2023

Analysis of a Runtime Data Sharing Architecture over LTE for a Heterogeneous CAV Fleet.
Proceedings of Cyber-Physical Systems and Internet of Things Week 2023, 2023

Middleware for a Heterogeneous CAV Fleet.
Proceedings of Cyber-Physical Systems and Internet of Things Week 2023, 2023

Exploring CAV-Based Traffic Control for Improving Traffic Conditions in the Face of Bottlenecks.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

The Interstate-24 3D Dataset: a new benchmark for 3D multi-camera vehicle tracking.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022
Streaming Data Preprocessing via Online Tensor Recovery for Large Environmental Sensor Networks.
ACM Trans. Knowl. Discov. Data, 2022

Gaussian Process-Based Personalized Adaptive Cruise Control.
IEEE Trans. Intell. Transp. Syst., 2022

Detecting Extreme Traffic Events Via a Context Augmented Graph Autoencoder.
ACM Trans. Intell. Syst. Technol., 2022

Optimization of vaccination for COVID-19 in the midst of a pandemic.
Networks Heterog. Media, 2022

Automatic vehicle trajectory data reconstruction at scale.
CoRR, 2022

Quantifying the impact of driver compliance on the effectiveness of variable speed limits and lane control systems.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Deploying Traffic Smoothing Cruise Controllers Learned from Trajectory Data.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Automated Vehicle Multi-Object Tracking at Scale with CAN.
Proceedings of the 13th ACM/IEEE International Conference on Cyber-Physical Systems, 2022

Safe driving with control barrier functions in mixed autonomy traffic when cut-ins occur.
Proceedings of the European Control Conference, 2022

2021
Robust Tensor Recovery with Fiber Outliers for Traffic Events.
ACM Trans. Knowl. Discov. Data, 2021

Online Parameter Estimation Methods for Adaptive Cruise Control Systems.
IEEE Trans. Intell. Veh., 2021

Are Commercially Implemented Adaptive Cruise Control Systems String Stable?
IEEE Trans. Intell. Transp. Syst., 2021

Optimization methods for analysis of empirical rail dispatching relative to train plans.
J. Rail Transp. Plan. Manag., 2021

Compromised ACC vehicles can degrade current mixed-autonomy traffic performance while remaining stealthy against detection.
CoRR, 2021

Integrated Framework of Vehicle Dynamics, Instabilities, Energy Models, and Sparse Flow Smoothing Controllers.
CoRR, 2021

Localization-Based Tracking.
CoRR, 2021

Personalized Adaptive Cruise Control via Gaussian Process Regression.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Vehicle Tracking with Crop-based Detection.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

CAN coach: vehicular control through human cyber-physical systems.
Proceedings of the ICCPS '21: ACM/IEEE 12th International Conference on Cyber-Physical Systems, 2021

Fast Vehicle Turning-Movement Counting Using Localization-Based Tracking.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Model-Based String Stability of Adaptive Cruise Control Systems Using Field Data.
IEEE Trans. Intell. Veh., 2020

Enhanced data reconciliation of freight rail dispatch data.
J. Rail Transp. Plan. Manag., 2020

Graph Convolutional Networks for traffic anomaly.
CoRR, 2020

Online parameter estimation of adaptive cruise control models with delays and lags.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2019
Traffic Reconstruction Using Autonomous Vehicles.
SIAM J. Appl. Math., 2019

Estimating adaptive cruise control model parameters from on-board radar units.
CoRR, 2019

Data-driven methods for dockless bike infrastructure planning.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops, 2019

Modeling and assessing adaptive cruise control stability: experimental insights.
Proceedings of the 6th International Conference on Models and Technologies for Intelligent Transportation Systems, 2019

Heterogeneous traffic estimation with particle filtering.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Modeling adaptive cruise control vehicles from experimental data: model comparison.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

String stability of commercial adaptive cruise control vehicles: WIP abstract.
Proceedings of the 10th ACM/IEEE International Conference on Cyber-Physical Systems, 2019

Real-time distance estimation and filtering of vehicle headways for smoothing of traffic waves.
Proceedings of the 10th ACM/IEEE International Conference on Cyber-Physical Systems, 2019

Autonomous vehicles: From vehicular control to traffic contro.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Scaling the Kalman Filter for Large-Scale Traffic Estimation.
IEEE Trans. Control. Netw. Syst., 2018

Error bounds for Kalman filters on traffic networks.
Networks Heterog. Media, 2018

Estimating traffic conditions from smart work zone systems.
J. Intell. Transp. Syst., 2018

Connections between classical car following models and artificial neural networks.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

On the Data-Driven Prediction of Arrival Times for Freight Trains on U.S. Railroads.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Dissipation of Emergent Traffic Waves in Stop-and-Go Traffic Using a Supervisory Controller.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
A Convex Formulation of Traffic Dynamics on Transportation Networks.
SIAM J. Appl. Math., 2017

Accelerated Monte Carlo system reliability analysis through machine-learning-based surrogate models of network connectivity.
Reliab. Eng. Syst. Saf., 2017

Dissipation of stop-and-go waves via control of autonomous vehicles: Field experiments.
CoRR, 2017

Stabilizing traffic flow via a single autonomous vehicle: Possibilities and limitations.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Congestion barcodes: Exploring the topology of urban congestion using persistent homology.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Controlling for Unsafe Events in Dense Traffic through Autonomous Vehicles: Invited Talk Abstract.
Proceedings of the 1st International Workshop on Safe Control of Connected and Autonomous Vehicles, 2017

2016
Multiple Model Particle Filter for Traffic Estimation and Incident Detection.
IEEE Trans. Intell. Transp. Syst., 2016

WiP Abstract: Stabilizing Traffic with a Single Autonomous Vehicle.
Proceedings of the 7th ACM/IEEE International Conference on Cyber-Physical Systems, 2016

Kalman filtering with synthetic measurements under an event-triggered sensor scheduler.
Proceedings of the 15th European Control Conference, 2016

2015
GPS Signal Authentication From Cooperative Peers.
IEEE Trans. Intell. Transp. Syst., 2015

Inferring Traffic Signal Phases From Turning Movement Counters Using Hidden Markov Models.
IEEE Trans. Intell. Transp. Syst., 2015

A Heterogeneous Multiclass Traffic Flow Model with Creeping.
SIAM J. Appl. Math., 2015

Using coarse GPS data to quantify city-scale transportation system resilience to extreme events.
CoRR, 2015

Data Driven Approaches for Passenger Train Delay Estimation.
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

Vehicle detection and speed estimation with PIR sensors.
Proceedings of the 14th International Conference on Information Processing in Sensor Networks, 2015

2014
A text mining framework for advancing sustainability indicators.
Environ. Model. Softw., 2014

Interactive multiple model ensemble Kalman filter for traffic estimation and incident detection.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

A distributed local Kalman consensus filter for traffic estimation.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
Markov Chain Monte Carlo based inverse modeling of traffic flows using GPS data.
Networks Heterog. Media, 2013

Estimating traffic control strategies with inverse optimal control.
Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013

Estimating traffic signal phases from turning movement counters.
Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013

2012
Enhancing Privacy and Accuracy in Probe Vehicle-Based Traffic Monitoring via Virtual Trip Lines.
IEEE Trans. Mob. Comput., 2012

2011
A General Phase Transition Model for Vehicular Traffic.
SIAM J. Appl. Math., 2011

2009
Lagrangian sensing: traffic estimation with mobile devices.
Proceedings of the American Control Conference, 2009

2008
Convex Formulations of Air Traffic Flow Optimization Problems.
Proc. IEEE, 2008

Virtual trip lines for distributed privacy-preserving traffic monitoring.
Proceedings of the 6th International Conference on Mobile Systems, 2008

An ensemble Kalman filtering approach to highway traffic estimation using GPS enabled mobile devices.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Convex formulations of aggregate network air traffic flow optimization problems.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008


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