Sarah Hernandez Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Federal Grant PI

Associate Professor

University of Arkansas at Fayetteville

faculty

11 h-index 81 pubs 420 cited

Research Areas

Urban Transport and Accessibility Advanced Neural Network Applications Freight Operational Characteristics Mined from Anonymous Mobile Sensor Data Technology Adoption and User Behaviour Remote Sensing in Agriculture Decision-Making and Behavioral Economics Computer Graphics and Visualization Techniques

Links

ORCID Lab Website

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OverviewAI-generated summary

Sarah Hernandez's research focuses on the application of data analytics and machine learning to understand and improve transportation systems. Her work investigates freight transportation patterns, utilizing diverse data sources such as anonymous mobile sensor data and Automatic Identification System (AIS) data from inland waterways. She has explored methods for classifying truck industry activity and mapping multimodal freight catchment areas using GIS. Additionally, Hernandez has examined electric vehicle usage patterns and developed simulation and optimization approaches for truck parking capacity expansion.

Hernandez has secured significant federal funding for her research. Notably, she served as PI on an NSF CAREER award totaling $514,641, aimed at improving long-range freight planning through passive sensors and workforce diversity. She also served as Co-PI on an NSF SCC-CIVIC-FA Track A grant of $1,000,000 for a community-based framework focused on shared micromobility for accessible housing, and a smaller NSF I-Corps grant for advanced truck detection technology.

Her scholarly output includes 81 publications and 420 citations, with an h-index of 11. Hernandez maintains an active lab website and collaborates with several researchers at the University of Arkansas at Fayetteville, including Suman Mitra, Manzi Yves, Sandra D. Ekşioğlu, and Kwadwo Amankwah-Nkyi, with whom she has co-authored multiple publications.

Metrics

h-index: 11
Publications: 81
Citations: 420

Selected Publications

Highway-Transportation-Asset Criticality Estimation Leveraging Stakeholder Input Through an Analytical Hierarchy Process (AHP) (2025) DOI
Highway Transportation Asset Criticality Estimation Leveraging Stakeholder Input through an Analytical Hierarchy Process (AHP) (2025) DOI
Prediction of waterborne freight activity with Automatic identification System using Machine learning (2024) DOI
Real-Time Barge Detection Using Traffic Cameras and Deep Learning on Inland Waterways (2024) DOI
Prediction of Waterborne Freight Activity with Automatic Identification System Using Machine Learning (2024) DOI
Electric Vehicle Usage Patterns in Multi-Vehicle Households in the US: A Machine Learning Study (2024) DOI
Unraveling Electric Vehicle Preference: A Machine Learning Analysis of Vehicle Choice in Multi-Vehicle Households in the United States (2024) DOI
Board 37A: Driving Simulators as Educational Outreach for Freight Transportation (2024) DOI
Unraveling Electric Vehicle Preference: A Machine Learning Analysis of Vehicle Choice in Multi-Vehicle Households in the United States (2023) DOI
Driving Simulators as Educational Outreach for Freight Transportation (2023) DOI
A two-stage stochastic optimization model for port infrastructure planning (2023) DOI
Freight Operational Characteristics Mined from Anonymous Mobile Sensor Data (2023) DOI
A Two Stage Stochastic Optimization Model for Port Infrastructure Planning (2023) DOI
Representative truck activity patterns from anonymous mobile sensor data (2022) DOI
Inland waterway network mapping of AIS data for freight transportation planning (2022) DOI