Sara Ferreira

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Assistant Professor

University of Porto

Portugal

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About

Sara Ferreira is an Assistant Professor at the University of Porto, Portugal. Her research areas include transportation safety, urban mobility, and driver behavior, as evidenced by her recent publications on topics such as drowsiness detection in drivers and factors influencing risky behaviors on the road. She also explores the impact of the 15-minute city model on sustainable urban mobility and the resilience of urban transport systems.

Recent Grants

Grant: Close

Brain Behavior analysis using the most advanced Artificial Intelligence and Computer Vision

Open Date: 2021-05-01

Close Date: 2023-06-01

Grant: Close

Brain Behavior analysis using the most advanced Artificial Intelligence and Computer Vision

Open Date: 2021-05-01

Close Date: 2023-06-01

Grant: Close

DynamiCITY: Fostering Dynamic Adaptation of Smart Cities to Cope with Crises and Disruptions

Open Date: 2021-03-01

Close Date: 2023-02-01

Grant: Close

ASIASAFE Modernisation, Development and Capacity Building of Master Curriculum in Traffic Safety in Asian Universities

Open Date: 2021-01-01

Close Date: 2024-01-01

Grant: Close

ASIASAFE Modernisation, Development and Capacity Building of Master Curriculum in Traffic Safety in Asian Universities

Open Date: 2021-01-01

Close Date: 2024-01-01

Articles (24)

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Collaborators (7)

Paulo Ribeiro

Assistant Professor

PORTUGAL

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Antonio Couto

Full Professor

Universidade do Porto Faculdade de Engenharia

PORTUGAL

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Liliana Cunha

Universidade do Porto Faculdade de Psicologia e de Ciências da Educação

PORTUGAL

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José Pedro Tavares

Assistant Professor

Universidade do Porto Faculdade de Engenharia

PORTUGAL

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César De Santos-Berbel

Assistant Professor

Universidad Politécnica de Madrid

SPAIN

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Sérgio Pedro Duarte

Invited Assistant Professor

University of Porto

PORTUGAL

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António Lobo

PORTUGAL

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Sara Ferreira

Research Interests

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About

Recent Grants

Articles (24)

Truck Driver Safety: Factors Influencing Risky Behaviors on the Road—A Systematic Review

Advancing sustainable urban mobility: An empirical travel time analysis of the 15-minute city model in Porto

Drowsiness Detection in Drivers: A Systematic Review of Deep Learning-Based Models

Monitoring Technologies for Truck Drivers: A Systematic Review of Safety and Driving Behavior

Development of Motorway Horizontal Alignment Databases for Accurate Accident Prediction Models

A Clustering Approach for Analyzing Access to Public Transportation and Destinations

Driving as a Service: Promoting a Sustainable Transition to Automated Driving

Understanding Influences of Driving Fatigue on Driver Fingerprinting Identification Through Deep Learning

Adapting to the new normal: Understanding public transport use and willingness-to-pay for social distancing during a pandemic context

Driving fingerprinting enhances drowsy driving detection: Tailoring to individual driver characteristics

Assessing Urban Mobility Resilience: An Exploratory Approach Using Hazard-Based Duration Models

The influence of middle-aged male driver profile on driving performance and the effects of three perceptual countermeasures: A simulator study

Public Transport Usage and Perceived Service Quality in a Large Metropolitan Area: The Case of Porto

Exploring Modal Choices for Sustainable Urban Mobility: Insights from the Porto Metropolitan Area in Portugal

A multilevel decision-making approach for road infrastructure management

Bus Network Design and Frequency Setting in the Post-COVID-19 Pandemic: The Case of London

Comparative analysis of drowsiness and performance in conditionally automated driving and manual driving considering the effect of circadian rhythm

Travel mode preferences among German commuters over the course of COVID-19 pandemic

Takeover performance evaluation using driving simulation: a systematic review and meta-analysis

What are the risk behaviors of Brazilian and Portuguese drivers? An exploratory approach using self-reported data

Distractive Tasks and the Influence of Driver Attributes

A novel approach to set driving simulator experiments based on traffic crash data

Driving simulators to evaluate road geometric design effects on driver behaviour: A systematic review

Machine learning applied to road safety modeling: A systematic literature review

Collaborators (7)

Paulo Ribeiro

Antonio Couto

Liliana Cunha

José Pedro Tavares

César De Santos-Berbel

Sérgio Pedro Duarte

António Lobo

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