Road Traffic Accidents in the District of Setúbal

Authors

Paulo Infante, Department of Mathematics University of Évora; Vítor Nogueira, Department of Informatics University of Évora; Paulo Rebelo Manuel , CIMA - Center for Research in Mathematics and Applications; Patrícia Góis , Serviços de Informática universidade de Évora; Anabela Afonso , Department of Mathematics University of Évora; Daniel Santos ; Gonçalo Jacinto , Department of Mathematics University of Évora; José Saias , Department of Informatics University of Évora; Leonor Rego , Scholarship in the MOPREVIS project; Marcelo Silva , Institute of Earth Sciences University of Évora; Nuno Carocha Gonçalves , 2nd Commander of the Setúbal Territorial Command GNR; Paulo Rebisco , Corporal Chief of the Republican National Guard GNR; Paulo Quaresma , Department of Informatics University of Évora; Pedro Nogueira , Department of Geosciences University of Évora; Rosalina Pisco Costa , Department of Sociology University of Évora; Rui Clemente , Corporal in the Republican National Guard GNR
Keywords: Artificial Intelligence, Data Science, Geographic Information Systems, Road Traffic Accidents, Statistical Modelling

Synopsis

Road Traffic Accidents (RTA) are one of the greatest calamities of our time, due to the human losses and to the irreparable physical and psychological damage they cause to several victims, also involving a very relevant economic dimension.

To scientifically support the study of the problem of serious RTA in Setúbal, the University of Évora established a partnership with the Comando Territorial da Guarda Nacional Republicana de Setúbal (Territorial Command of the Portuguese Gendarmerie of Setúbal), which led to the research project, funded by the Foundation for Science and Technology (FCT), Statistical Modelling of Road Traffic Accidents in the District of Setúbal (MOPREVIS).

In this book, the main results of the project are synthesised in an infographic way, based on a mixed approach between statistical techniques, artificial intelligence, and geographic information systems. Besides an exploratory data analysis focusing on the main variables associated with RTA, the determinants for the occurrence and nature of RTA are presented. The profile of the intervenients is outlined, and a spatial analysis is carried out. Furthermore, it is performed a scale analysis of the municipalities of Palmela and Sesimbra and a study of the effect of the COVID-19 pandemic on RTA. Finally, the predictive models and the digital decision support tool are presented.

This book constitutes an important contribution towards the implementation of appropriate measures that make it possible to reduce serious RTA in the district of Setúbal, but it is also assumed to be a scalable instrument for the whole national territory.

Author Biographies

Paulo Infante, Department of Mathematics University of Évora

Associate Professor at the University of Évora, PhD in Mathematics from the same University. He has held various positions, such as Pro-Rector for the areas of Innovation, Knowledge Transfer, Entrepreneurship and Cooperation, and is currently Course Director of Mathematics Applied to Economics and Management and Coordinator of the Research Line in Mathematical Modelling in Life Sciences and Applications of the Research Center in Mathematics and Applications (CIMA). He is responsible for curricular units of the different study cycles, having supervised undergraduate, master and doctoral students. He has coordinated several projects between the University and the community and has several publications in statistical methodology and statistical modelling and data analysis, with data from different areas. He is currently the researcher responsible for the project Modeling and Prediction of Road Traffic Accidents in the District of Setúbal (MOPREVIS), supported by FCT, and has recently been part of another FCT project on the Application of Artificial Intelligence Methodologies and Natural Language Processing in the Triage, Counselling and Referral Service of the SNS 24. In addition to statistical modelling, his current research interests are in the areas of data science, quality control and survival analysis.

Vítor Nogueira, Department of Informatics University of Évora

Vítor Beires Nogueira holds a degree in Applied Mathematics - Computer Science minor from the University of Porto, a MSc in Applied Artificial Intelligence from the New University of Lisbon and a PhD in Computer Science from the University of Évora. He is an integrated member of the Algoritmi Research Center. At the University of Évora, he was Director of the Department of Computer Science (2017-2019), Director of the Commission for the Degree in Informatics (2010-2014), Deputy of the Commission for the PhD in Computer Science (2018-2022) and Pro-Rector (since May 2022). Develops his research activity in the field of Artificial Intelligence, having participated in several R&D projects. He has published 6 book chapters, 13 peer-reviewed journal articles, and 12 papers in scientific meeting proceedings.

Paulo Rebelo Manuel , CIMA - Center for Research in Mathematics and Applications

A Colonel of the Guarda Nacional Republicana (GNR) in the Reserve, with 36 years of professional experience, has, throughout his career in the service of the State, held command functions (Commander of the Setúbal Territorial Command, from 2016 to 2019), staff, technical, and teaching positions. Since 2020, is a visiting Assistant Professor at the Egas Moniz University Institute, lecturer at various university and professional institutions and collaborating researcher at the Research Centre for Mathematics and Applications of the University of Évora and the Egas Moniz Laboratory of Forensic and Psychological Sciences.

He held a PhD and a Master's degree in Political Science from the Higher Institute of Social and Political Sciences of the University of Lisbon (ISCSP/UL), a postgraduate degree in Criminology from the Lusófona University of Humanities and Technologies, a degree in European Studies from the Moderna University of Lisbon, a diploma from the Marshall Center in Terrorism Studies “Program on Terrorism and Security Studies” and a National Defence Auditor.

Besides the career courses that result from the GNR Officer Statute, he attended several national and international specialization courses, namely in the areas of Security, Terrorism, Counterterrorism, Intelligence and Intelligence Analysis, Criminal Investigation, Public Order and Geographic Information Systems.

Patrícia Góis , Serviços de Informática universidade de Évora

Patrícia Góis, 27 years old, graduated in Design (2016) and completed a Masters in Editorial Design (2020) at the School of Arts of the University of Évora. With a collaborator research scholarship since 2018, she contributed to the MOPREVIS project with the visual identity, website content management, graphic design, infographics, presentations and maps graphic support. She’s interested in Visual Identity, Infographics, Editorial Design, Interfaces, Web Design and Web Development.

Anabela Afonso , Department of Mathematics University of Évora

Anabela Afonso is an assistant professor at the Department of Mathematics at the University of Évora and a member of the Research Center in Mathematics and Applications. She has a PhD in Mathematics, a Master's in Statistics and Information Management and a degree in Statistics and Operational Research. She is the course director of the Master in Statistical Modeling and Data Analysis at the University of Évora. Her main research interests are sampling, data analysis and statistical modelling.

Daniel Santos

Daniel Santos, is 28 years old, studied at the School of Science and Technology - University of Évora, Master in Computer Engineering. He has been a scholarship holder since 2018, participated in AuditF projects and is currently part of MOPREVIS team. Interests in data science, artificial intelligence and software development.

Gonçalo Jacinto , Department of Mathematics University of Évora

PhD in Applied Mathematics from the University of Lisbon, Instituto Superior Técnico in 2011, a Master in Applied Mathematics from the University of Lisbon, Instituto Superior Técnico in 2004 and a degree in Applied Mathematics from the University of Évora in 2000.

Since 2001, he is a Lecturer at the Department of Mathematics of the University of Évora, integrated into the Probabilities and Statistics group, and since 2011 he is an Assistant Professor at this University. He is a member of the Research Center in Mathematics and Applications at the University of Évora, in the Statistics, Stochastic Processes and Applications group, and a collaborator at the Center for Computational and Stochastic Mathematics, University of Lisbon, Instituto Superior Técnico.

His main areas of interest are Stochastic Processes and their applications, with a special interest in modelling and performance evaluation of telecommunications networks. More recently he has also carried out scientific research in the estimation, prediction and optimisation of stochastic differential equation models, and in the area of statistical modelling and data analysis, having collaborated with public and private entities.

José Saias , Department of Informatics University of Évora

José Saias is an Assistant Professor at the Computer Science Department of Universidade de Évora. He holds a PhD in computer science (on natural language processing and question answering systems, in 2010) from University of Évora.

His research interests include artificial intelligence, question-answer systems, opinion mining, and distributed systems. He has actively participated as research team member in several projects, including NanoSen-AQM (nano sensors and IoT for monitoring air quality); APRA-CPv2 (Machine Learning about service churn and recommendation systems); and MOPREVIS.

Leonor Rego , Scholarship in the MOPREVIS project

Leonor Rego, is 24 years old, graduated in Mathematics Applied to Economics and Management (2019) and finished her Master's in Management - with a specialisation in Finance (2022) at the University of Évora. Since 2020 she has been a research fellow in the MOPREVIS project, where she joined the statistics team. Main interests in data analysis and statistical modelling.

Marcelo Silva , Institute of Earth Sciences University of Évora

Marcelo Silva graduated in Geology and has a Master’s in Economic Geology from the Faculty of Sciences of the University of Lisbon, and is currently a PhD student on the Earth and Space Sciences PhD Program, in the University of Évora. The experience acquired on Digital Cartography and Remote Detection during his Master’s served as a fulcrum for his integration in the Moprevis project team, where he collaborated on the production of thematic maps and spatial analysis. He is also a collaborator in the Institute of Earth Sciences - Évora pole - since 2019 and briefly lectured practical classes on Geographic Information System in Geosciences. His main research themes are Mineral Resources, Geographic Information Systems and Remote Detection with drones and satellites, multi and hyperspectral, with artificial intelligence applications.

Nuno Carocha Gonçalves , 2nd Commander of the Setúbal Territorial Command GNR

Lieutenant-Colonel Nuno Alexandre Carocha Gonçalves joined the GNR in 1995, obtaining a degree in Military Sciences at the Military Academy. Throughout his professional career, he held various command and leadership roles in sections of the general staff in areas such as Justice, Operations, Training, Public Relations and Human Resources, and in GNR operational sub-units, namely in the Territorial Commands of Setúbal and Beja. He was also an instructor, trainer and lecturer in the Portalegre Training Group of the Guard School and the Military Academy. He is currently the Deputy of the Setúbal Territorial Command.

Paulo Rebisco , Corporal Chief of the Republican National Guard GNR

Paulo Rebisco is a Corporal-Chief of the National Republican Guard and an investigator at the Criminal Investigation in Traffic Accidents Unit of the Setúbal Territorial Command's Traffic Detachment. His professional interests are related to the investigation of serious accidents and the study of their causes, as well as to criminality associated with the road environment. He has participated in the reformulation of training for future criminal investigators, developed tests with regard to the collection of data from vehicle ECU ́s (control limits), the use of mobile telecommunications equipment and the handling of Selective Catalytic Reduction systems, and has also participated in the MOPREVIS project. He has a degree in Law and Master in Law and Security from Universidade Nova de Lisboa.

Paulo Quaresma , Department of Informatics University of Évora

Paulo Quaresma is Vice-Rector for Research, Innovation and Internationalization at the University of Évora and a Full Professor at the Department of Informatics at the same University.

In 2021 he was Member of the Board of Directors of FCT – Portuguese Foundation for Science and Technology. At the University of Évora, he was Vice-Rector for Research and Development from 2014 to 2018 and Director of the School of Science and Technology from 2009 to 2013. He holds a PhD in Informatics from Universidade Nova de Lisboa, specialized in Artificial Intelligence and Natural Language Processing. He is/was responsible for several Doctoral, Master's and Bachelor's courses and has supervised several PhD and MSc thesis. He was responsible or coordinator of several research projects, funded by Portuguese and European entities and published more than 100 scientific articles in international journals and conferences.

A more detailed CV is available at: http://www.di.uevora.pt/~pq/cv_pq_res.pdf

Pedro Nogueira , Department of Geosciences University of Évora

Assistant professor at the Department of Geosciences at the University of Évora and integrated member of the Institute of Earth Sciences (ICT), Évora pole. PhD, since 1997, in Geology from the University of Porto. He is Director of the master's course in Geology and the postgraduate course in Geographic Information Systems Applied to Geosciences. He is responsible for the curricular units in the areas of Geographic Information Systems, Digital Cartography, Remote Sensing and Mineral Resources in the undergraduate and master's degrees of the Department of Geosciences. Furthermore, he develops his research activities in the areas of geoinformatics, economic geology and digital cartography at ICT.

Rosalina Pisco Costa , Department of Sociology University of Évora

Rosalina Pisco Costa is a sociologist, associate professor at the Department of Sociology, School of Social Sciences at the University of Évora (Portugal), where she has been teaching since 2000. She holds a PhD in Social Sciences - Sociology from the University of Lisbon, and is currently an affiliated researcher at CICS.NOVA.UÉvora-The Interdisciplinary Center of Social Sciences, University of Évora. Her main areas of specialisation, research and publication cover a wide range of issues regarding families, gender and personal life; social time and ages of life; everyday life, consumption and mobilities; trajectories, transitions and experiences in higher education; and ethics in social sciences, while crosswise exploring QDA software, qualitative, sensory and creative methodologies of social investigation. She regularly participates in major events organised by the sociological community, publishes widely and internationally, and her work appears in key publications. Together with researchers from the University of Minho and Beira Interior, she has co-organised, since 2016, the International and Interdisciplinary Seminar ‘Living Mobilities’. In 2017 she organised the Symposium ‘Children's Road (Un)Safety’ at the ICCA 2017, Porto, and in 2020 she co-organized the special issue ‘Living mobility: Paths, continuities and inscriptions’ in the scientific journal Forum Sociológico. She is, since 2022, director of the Master's degree in Sociology at the University of Évora.

Rui Clemente , Corporal in the Republican National Guard GNR

Rui Clemente is a Corporal in the Guarda Nacional Republicana, currently working in the Situation Room of the Setúbal Territorial Command. His main area of interest is the investigation of road accidents. Professional development focuses on the area of information systems management for statistical analysis. Therefore, his professional skills include the development of information systems (database) to simplify the daily service, participating actively in the validation of information on accidents in the district of Setúbal (geographical area of operation of the Setúbal Territorial Command) under the MOPREVIS Program.

References

Infante, P., Jacinto, G., Afonso, A., Rego, L., Nogueira, P., Silva,M., Nogueira, V., Saias, J., Quaresma, P., Santos, D., Gois, P., Manuel, P.R. (accepted jan 2023). Factors that influence the type of road traffic accidents: a case study in a district of Portugal. Sustainability.

Infante, P., Afonso., A., Jacinto, G., Rego, L., Cesar, R., Nogueira, P., Silva, M., Nogueira, V., Saias, J., Quaresma, P., Santos, D., Gois, P., Manuel, P. R. (2022). Some determinants for road accidents severity in the district of Setúbal. In Recent Developments in Statistics and Data Science. SPE 2021 (Eds. Bispo, R., Henriques-Rodrigues, L., Alpizar-Jara, R., De Carvalho, M.). Springer Proceedings in Mathematics & Statistics, vol. 398, 203-214. Springer, Cham. https://doi.org/10.1007/978-3-031-12766-3_14

Infante, P., Jacinto, G., Afonso, A., Rego, L., Nogueira, V., Quaresma, P., Saias, J., Santos, D., Nogueira, P., Silva, M., Costa, R. P., Gois, P., Manuel, P. R. (2022). Comparison of Statistical and Machine Learning Models on Road Traffic Accident Severity Classification. Computers, 11(5), 80. https://doi.org/10.3390/computers11050080

Santos, D., Saias, J., Quaresma, P., & Nogueira, V. B, (2021). Machine Learning Approaches to Traffic Accident Analysis and Hotspot Prediction. Computers, 10(12), 157. http://dx.doi.org/10.3390/computers10120157

A Sinistralidade Rodoviária no Distrito de Setúbal
Published
January 11, 2023

Details about this monograph

Co-publisher's ISBN-13 (24)
978-972-778-300-7