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Kaan Ozbay

Researcher at New York University

Publications -  487
Citations -  7580

Kaan Ozbay is an academic researcher from New York University. The author has contributed to research in topics: Traffic flow & Computer science. The author has an hindex of 39, co-authored 458 publications receiving 6237 citations. Previous affiliations of Kaan Ozbay include Tongji University & Rutgers University.

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Book

Incident management in intelligent transportation systems

TL;DR: This book provides the reader with a broad picture of the overall incident management process in the context of ITS along with a quick review of the models and systems developed by numerous researchers worldwide.
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Derivation and Validation of New Simulation-Based Surrogate Safety Measure:

TL;DR: These surrogate safety indices are initially proposed for link-based analysis and should not be used for other purposes, such as intersection safety assessment, without further enhancements, and the use of these indices should be limited to the analysis of linear conflicts.
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Empirical analysis of transportation investment and economic development at state, county and municipality levels

TL;DR: In this article, the authors investigated the relationship between transportation infrastructure investment and economic development and provided a plausible explanation by using alternative econometric models, applying them to a database, which is composed of longitudinal state, county and municipality observations from 1990 to 2000.
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The impacts of time of day pricing on the behavior of freight carriers in a congested urban area: Implications to road pricing

TL;DR: In this paper, the impact of time-of-day pricing on the behavior of commercial carriers has been investigated, and the authors found that the response of carriers to the time of day pricing is determined by the balance of power between carriers and receivers.
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Data-Driven Adaptive Optimal Control of Connected Vehicles

TL;DR: A data-driven non-model-based approach is proposed for the adaptive optimal control of a class of connected vehicles that is composed of human-driven vehicles only transmitting motional data and an autonomous vehicle in the tail receiving the broadcasted data from preceding vehicles by wireless vehicle-to-vehicle (V2V) communication devices.