Antonio Couto

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Full Professor

Universidade do Porto Faculdade de Engenharia

Portugal

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About

Antonio Couto is a Full Professor at Universidade do Porto Faculdade de Engenharia in Portugal. His research areas include transportation systems, sustainable mobility, and public infrastructure management, as evidenced by his recent articles on logistic regression models in airport status, accessibility to rail services, and automated driving transitions. His work also explores the efficiency of European metro systems and the impacts of the COVID-19 pandemic on commuting preferences.

Recent Grants

Grant: Close

TRAIN Mapping risks and requirements for truck platooning using a driving simulator

Open Date: 2021-01-01

Close Date: 2024-12-01

Grant: Close

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

Open Date: 2021-01-01

Close Date: 2024-12-01

Grant: Close

Análise de dados orientada para o estudo da distração e sonolência do condutor - AWARE

Open Date: 2018-03-01

Close Date:

Articles (18)

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Antonio Couto

Research Interests

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About

Recent Grants

Articles (18)

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

Benchmarking the efficiency of European metros from a production perspective

Equity of access to rail services by complementary motorized and active modes

A binary logistic regression model to identify key aspects that enhance global hub airports status

A multilevel decision-making approach for road infrastructure management

Rail freight production in Brazil: Projecting scenarios in times of global uncertainty

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

Distractive Tasks and the Influence of Driver Attributes

The prehospital time impact on traffic injury from hospital fatality and inpatient recovery perspectives

Exploring Monitoring Systems Data for Driver Distraction and Drowsiness Research

Daily and Latent Lagged Effects of Rainfall on Pedestrian–Vehicle Collisions

Driving simulator experiments to study drowsiness: A systematic review

Drowsiness and distraction while driving: A study based on smartphone app data

Analyzing driver drowsiness: From causes to effects

Corrigendum to “How do traffic and demand daily changes define urban emergency medical service (uEMS) strategic decisions?: A multi-period survival approach” [JTH 12 (2019) 60–74] (Journal of Transport & Health (2019) 12 (60–74), (S2214140517307429), (10.1016/j.jth.2018.12.001))

Collaborators (5)

Sara Ferreira

Liliana Cunha

César De Santos-Berbel

Sérgio Pedro Duarte

António Lobo

Make your next move.

Antonio Couto

Research Interests

Explore related searches

Contact this professor

About

Recent Grants

Articles (18)

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

Benchmarking the efficiency of European metros from a production perspective

Equity of access to rail services by complementary motorized and active modes

A binary logistic regression model to identify key aspects that enhance global hub airports status

A multilevel decision-making approach for road infrastructure management

Rail freight production in Brazil: Projecting scenarios in times of global uncertainty

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

Distractive Tasks and the Influence of Driver Attributes

The prehospital time impact on traffic injury from hospital fatality and inpatient recovery perspectives

Exploring Monitoring Systems Data for Driver Distraction and Drowsiness Research

Daily and Latent Lagged Effects of Rainfall on Pedestrian–Vehicle Collisions

Driving simulator experiments to study drowsiness: A systematic review

Drowsiness and distraction while driving: A study based on smartphone app data

Analyzing driver drowsiness: From causes to effects

Corrigendum to “How do traffic and demand daily changes define urban emergency medical service (uEMS) strategic decisions?: A multi-period survival approach” [JTH 12 (2019) 60–74] (Journal of Transport &amp; Health (2019) 12 (60–74), (S2214140517307429), (10.1016/j.jth.2018.12.001))

Collaborators (5)

Sara Ferreira

Liliana Cunha

César De Santos-Berbel

Sérgio Pedro Duarte

António Lobo

Make your next move.

Corrigendum to “How do traffic and demand daily changes define urban emergency medical service (uEMS) strategic decisions?: A multi-period survival approach” [JTH 12 (2019) 60–74] (Journal of Transport & Health (2019) 12 (60–74), (S2214140517307429), (10.1016/j.jth.2018.12.001))