S
Sarah Hernandez Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Federal Grant PI
Associate Professor
faculty
12 h-index
81 pubs
443 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Sarah Hernandez investigates freight transportation systems, focusing on the analysis of large datasets to understand operational characteristics and inform planning. Her work has involved developing methods to classify truck industry patterns and identify multimodal freight transportation catchment areas using mobile sensor data and machine learning techniques. She has also explored the application of these methodologies to inland waterway networks, mapping AIS data for freight planning and assigning commodity dimensions to disaggregated freight flows.
Hernandez has secured significant federal funding to support her research. She is the Principal Investigator on an NSF CAREER award focused on unbiased long-range freight planning through passive sensors and workforce diversity, and an NSF I-Corps grant for advanced truck detection with lidar technology. Additionally, she serves as a Co-PI on two NSF SCC-CIVIC awards aimed at developing shared micromobility frameworks for affordable and accessible housing. Her scholarly output includes 81 publications, with an h-index of 12 and over 433 citations.
Metrics
- h-index: 12
- Publications: 81
- Citations: 443
Selected Publications
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Highway-Transportation-Asset Criticality Estimation Leveraging Stakeholder Input Through an Analytical Hierarchy Process (AHP) (2025)
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Highway Transportation Asset Criticality Estimation Leveraging Stakeholder Input through an Analytical Hierarchy Process (AHP) (2025)
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Prediction of waterborne freight activity with Automatic identification System using Machine learning (2024)
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Data-Driven Methods to Assess Transportation System Resilience: Case Study of the Arkansas Roadway Network (2024)
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Real-Time Barge Detection Using Traffic Cameras and Deep Learning on Inland Waterways (2024)
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Prediction of Waterborne Freight Activity with Automatic Identification System Using Machine Learning (2024)
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Electric Vehicle Usage Patterns in Multi-Vehicle Households in the US: A Machine Learning Study (2024)
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Unraveling Electric Vehicle Preference: A Machine Learning Analysis of Vehicle Choice in Multi-Vehicle Households in the United States (2024)
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Board 37A: Driving Simulators as Educational Outreach for Freight Transportation (2024)
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Unraveling Electric Vehicle Preference: A Machine Learning Analysis of Vehicle Choice in Multi-Vehicle Households in the United States (2023)
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Driving Simulators as Educational Outreach for Freight Transportation (2023)
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A two-stage stochastic optimization model for port infrastructure planning (2023)
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Freight Operational Characteristics Mined from Anonymous Mobile Sensor Data (2023)
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A Two Stage Stochastic Optimization Model for Port Infrastructure Planning (2023)
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Representative truck activity patterns from anonymous mobile sensor data (2022)
Federal Grants 4 $1,614,641 total
NSF
Co-PI
Nov 2021 - Oct 2025
NSF
PI
Aug 2021 - Jul 2022
NSF
PI
May 2021 - Apr 2025
CAREER: Towards Unbiased Long-Range Freight Planning Through Passive-Sensors and Workforce Diversity
NSF
Co-PI
Jan 2021 - Oct 2021
SCC-CIVIC-PG Track A: Shared MicromobIlity for affordabLe-accessIblE houSing (SMILIES)
Collaboration Network
Top Collaborators
Sanjeev Bhurtyal
9 shared publications
- A two-stage stochastic optimization model for port infrastructure planning
- Prediction of waterborne freight activity with Automatic identification System using Machine learning
- Data-Driven Methods to Assess Transportation System Resilience: Case Study of the Arkansas Roadway Network
- A Two Stage Stochastic Optimization Model for Port Infrastructure Planning
- A Two Stage Stochastic Optimization Model for Port Infrastructure Planning
Showing 5 of 9 shared publications
Suman Mitra
University of Arkansas at Fayetteville
9 shared publications
In database
- Electric Vehicle Usage Patterns in Multi-Vehicle Households in the US: A Machine Learning Study
- Assessment of Crash Occurrence Using Historical Crash Data and a Random Effect Negative Binomial Model: A Case Study for a Rural State
- Impact of Truck Parking Facilities on Commercial and Industrial Land Values: A Spatial Hedonic Model
- Highway Transportation Asset Criticality Estimation Leveraging Stakeholder Input through an Analytical Hierarchy Process (AHP)
- Highway-Transportation-Asset Criticality Estimation Leveraging Stakeholder Input Through an Analytical Hierarchy Process (AHP)
Showing 5 of 9 shared publications
Magdalena Asborno
7 shared publications
- GIS-based identification and visualization of multimodal freight transportation catchment areas
- Assigning a commodity dimension to AIS data: Disaggregated freight flow on an inland waterway network
- Inland waterway network mapping of AIS data for freight transportation planning
- Prediction of waterborne freight activity with Automatic identification System using Machine learning
- Inland waterway network mapping of AIS data for freight transportation planning
Showing 5 of 7 shared publications
Manzi Yves
University of Arkansas at Fayetteville
7 shared publications
In database
- GIS-based identification and visualization of multimodal freight transportation catchment areas
- Inland waterway network mapping of AIS data for freight transportation planning
- A two-stage stochastic optimization model for port infrastructure planning
- Inland waterway network mapping of AIS data for freight transportation planning
- A Two Stage Stochastic Optimization Model for Port Infrastructure Planning
Showing 5 of 7 shared publications
Sandra D. Ekşioğlu
7 shared publications
In database
- A two-stage stochastic optimization model for port infrastructure planning
- Prediction of waterborne freight activity with Automatic identification System using Machine learning
- A Two Stage Stochastic Optimization Model for Port Infrastructure Planning
- A Two Stage Stochastic Optimization Model for Port Infrastructure Planning
- Prediction of waterborne freight activity with Automatic Identification System using machine learning
Showing 5 of 7 shared publications
Kwadwo Amankwah-Nkyi
Jacobs (United States)
6 shared publications
In database
- Data-Driven Methods to Assess Transportation System Resilience: Case Study of the Arkansas Roadway Network
- Highway Transportation Asset Criticality Estimation Leveraging Stakeholder Input through an Analytical Hierarchy Process (AHP)
- Highway-Transportation-Asset Criticality Estimation Leveraging Stakeholder Input Through an Analytical Hierarchy Process (AHP)
- Real-Time Barge Detection Using Traffic Cameras and Deep Learning on Inland Waterways
- Board 37A: Driving Simulators as Educational Outreach for Freight Transportation
Showing 5 of 6 shared publications
Taslima Akter
4 shared publications
- Representative truck activity patterns from anonymous mobile sensor data
- Truck industry classification from anonymous mobile sensor data using machine learning
- Freight Operational Characteristics Mined from Anonymous Mobile Sensor Data
- A Hybrid Agent-Based Simulation and Optimization Approach for Statewide Truck Parking Capacity Expansion
Kenneth Ned Mitchell
United States Army (US)
3 shared publications
- Inland waterway network mapping of AIS data for freight transportation planning
- Prediction of waterborne freight activity with Automatic identification System using Machine learning
- Prediction of Waterborne Freight Activity with Automatic Identification System Using Machine Learning
Vuban Chowdhury
University of Arkansas at Fayetteville
3 shared publications
In database
- Electric Vehicle Usage Patterns in Multi-Vehicle Households in the US: A Machine Learning Study
- Unraveling Electric Vehicle Preference: A Machine Learning Analysis of Vehicle Choice in Multi-Vehicle Households in the United States
- Unraveling Electric Vehicle Preference: A Machine Learning Analysis of Vehicle Choice in Multi-Vehicle Households in the United States
Hieu Bui
3 shared publications
- Prediction of waterborne freight activity with Automatic identification System using Machine learning
- Prediction of waterborne freight activity with Automatic Identification System using machine learning
- Prediction of Waterborne Freight Activity with Automatic Identification System Using Machine Learning
Marin Kress
3 shared publications
- Prediction of waterborne freight activity with Automatic identification System using Machine learning
- Prediction of waterborne freight activity with Automatic Identification System using machine learning
- Prediction of Waterborne Freight Activity with Automatic Identification System Using Machine Learning
Sharif Mahmud
University of Arkansas at Fayetteville
2 shared publications
In database
- A Hybrid Agent-Based Simulation and Optimization Approach for Statewide Truck Parking Capacity Expansion
- Impact of Truck Parking Facilities on Commercial and Industrial Land Values: A Spatial Hedonic Model
Kenneth Mitchell
2 shared publications
- Inland waterway network mapping of AIS data for freight transportation planning
- Prediction of waterborne freight activity with Automatic Identification System using machine learning
Maria Falquez
2 shared publications
In database
- Real-Time Barge Detection Using Traffic Cameras and Deep Learning on Inland Waterways
- Predicting Barge Presence and Quantity on Inland Waterways using Vessel Tracking Data: A Machine Learning Approach
Subhadipto Poddar
2 shared publications
In database
- Real-Time Barge Detection Using Traffic Cameras and Deep Learning on Inland Waterways
- Predicting Barge Presence and Quantity on Inland Waterways using Vessel Tracking Data: A Machine Learning Approach
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