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Estimation of daily bicycle traffic using machine and deep learning techniques

Bibliographic Data

ID19339201
AuthorsMd Mintu Miah (0000-0001-6073-3896, The University of Texas at Arlington, corresponding author), Kate Hyun (0000-0001-7432-8058, The University of Texas at Arlington), Scott Mattingly (0000-0001-6515-6813, The University of Texas at Arlington), Hannan Khan (0000-0002-6787-3880, The University of Texas at Arlington)
Year2023
Volume50
Issue5
Pages1631-1684
Publication date2023-10-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueTransportation (JOURNAL)
Journal identifiersISSN: 0049-4488 • E-ISSN: 1572-9435
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s11116-022-10290-z
OpenAlexW4225140195
LanguageEN
Citations received4
References cited52

Artificial neural network · Decision tree · Dimensionality reduction · Linear model · Linear regression · Machine learning · Negative binomial distribution · Random forest · Regression analysis · Statistics · Variable (mathematics) · Artificial Intelligence · Computer Science · Mathematics · Traffic and Road Safety · Traffic Prediction and Management Techniques · Urban Transport and Accessibility

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  • Estimating bicycle trip volume for Miami-Dade county from Strava tracking data

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Unique citing works4
Citations per year2
Citation span2024 - 2026 (3)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 4

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