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Daniel B. Work
Researcher at Vanderbilt University
Publications - 136
Citations - 5461
Daniel B. Work is an academic researcher from Vanderbilt University. The author has contributed to research in topics: Traffic flow & Computer science. The author has an hindex of 27, co-authored 115 publications receiving 4384 citations. Previous affiliations of Daniel B. Work include Urbana University & University of California, Berkeley.
Papers
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Evaluation of Traffic Data Obtained via GPS-Enabled Mobile Phones: the Mobile Century Field Experiment
TL;DR: In this paper, a traffic monitoring system based on GPS-enabled smartphones exploits the extensive coverage provided by the cellular network, the high accuracy in position and velocity measurements provided by GPS devices, and the existing infrastructure of the communication network.
Journal ArticleDOI
Evaluation of traffic data obtained via GPS-enabled mobile phones: The Mobile Century field experiment
TL;DR: Results suggest that a 2-3% penetration of cell phones in the driver population is enough to provide accurate measurements of the velocity of the traffic flow, demonstrating the feasibility of the proposed system for real-time traffic monitoring.
Journal ArticleDOI
Dissipation of stop-and-go waves via control of autonomous vehicles: Field experiments
Raphael Stern,Shumo Cui,Maria Laura Delle Monache,Rahul Bhadani,Matt Bunting,Miles Churchill,Nathaniel Hamilton,R’mani Haulcy,Hannah Pohlmann,Fangyu Wu,Benedetto Piccoli,Benjamin Seibold,Jonathan Sprinkle,Daniel B. Work,Daniel B. Work +14 more
TL;DR: It is demonstrated experimentally that intelligent control of an autonomous vehicle is able to dampen stop-and-go waves that can arise even in the absence of geometric or lane changing triggers, suggesting a paradigm shift in traffic management.
Proceedings ArticleDOI
Virtual trip lines for distributed privacy-preserving traffic monitoring
Baik Hoh,Marco Gruteser,Ryan Herring,Jeff Ban,Daniel B. Work,Juan-Carlos Herrera,Alexandre M. Bayen,Murali Annavaram,Quinn Jacobson +8 more
TL;DR: This work proposes a system based on virtual trip lines and an associated cloaking technique that facilitates the design of a distributed architecture, where no single entity has a complete knowledge of probe identities and fine-grained location information.
Proceedings ArticleDOI
An ensemble Kalman filtering approach to highway traffic estimation using GPS enabled mobile devices
TL;DR: A new partial differential equation (PDE) based on the Lighthill-Whitham-Richards PDE, which serves as a flow model for velocity, is introduced and a Godunov discretization scheme is formulated to cast the PDE into a Velocity Cell Transmission Model (CTM-v), which is a nonlinear dynamical system with a time varying observation matrix.