Traffic Data on-the-Fly: Developing a Statewide Crosswalk Inventory Using Artificial Intelligence and Aerial Images (AI2) for Pedestrian Safety Policy Improvements in Florida

Alican Karaer; Will Kaczmarek; Emily Mank; Mahyar Ghorbanzadeh; Mohammadreza Koloushani; Maxim A. Dulebenets; Ren Moses; Thobias Sando; Eren Erman Ozguven

doi:10.1007/s42421-023-00070-1

Traffic Data on-the-Fly: Developing a Statewide Crosswalk Inventory Using Artificial Intelligence and Aerial Images (AI2) for Pedestrian Safety Policy Improvements in Florida

Alican Karaer
, Will Kaczmarek
, Emily Mank
, Mahyar Ghorbanzadeh
, Mohammadreza Koloushani
, Maxim A. Dulebenets
, Ren Moses
, Thobias Sando
, Eren Erman Ozguven

School of Engineering

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	7
Journal	Data Science for Transportation
Volume	5
Issue number	2
DOIs	https://doi.org/10.1007/s42421-023-00070-1
State	Published - Aug 2023

ASJC Scopus Subject Areas

Automotive Engineering
Civil and Structural Engineering

Keywords

Aerial image
Countermeasure
Crosswalk
GIS
Midblock
YOLO

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10.1007/s42421-023-00070-1

Cite this

Karaer, A., Kaczmarek, W., Mank, E., Ghorbanzadeh, M., Koloushani, M., Dulebenets, M. A., Moses, R., Sando, T., & Ozguven, E. E. (2023). Traffic Data on-the-Fly: Developing a Statewide Crosswalk Inventory Using Artificial Intelligence and Aerial Images (AI2) for Pedestrian Safety Policy Improvements in Florida. Data Science for Transportation, 5(2), Article 7. https://doi.org/10.1007/s42421-023-00070-1

Karaer, A, Kaczmarek, W, Mank, E, Ghorbanzadeh, M, Koloushani, M, Dulebenets, MA, Moses, R, Sando, T & Ozguven, EE 2023, 'Traffic Data on-the-Fly: Developing a Statewide Crosswalk Inventory Using Artificial Intelligence and Aerial Images (AI2) for Pedestrian Safety Policy Improvements in Florida', Data Science for Transportation, vol. 5, no. 2, 7. https://doi.org/10.1007/s42421-023-00070-1

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AU - Kaczmarek, Will

AU - Mank, Emily

AU - Ghorbanzadeh, Mahyar

AU - Koloushani, Mohammadreza

AU - Dulebenets, Maxim A.

AU - Moses, Ren

AU - Sando, Thobias

AU - Ozguven, Eren Erman

N1 - Publisher Copyright: © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2023.

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KW - GIS

KW - Midblock

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Traffic Data on-the-Fly: Developing a Statewide Crosswalk Inventory Using Artificial Intelligence and Aerial Images (AI2) for Pedestrian Safety Policy Improvements in Florida

ASJC Scopus Subject Areas

Keywords

Access to Document

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