Collaborative Management of Traffic Accidents Data for Social Impact Analytics

A. Luís Osório, Cláudia Antunes, Luís M. Camarinha-Matos, Carlos Gonçalves

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Traffic accidents have a devastating effect on society, and despite the measures taken by transport authorities, numbers still are of concern. As such, various studies emphasize the need for investments in the road infrastructure, vehicle safety, and enforcement measures. However, traffic and accident data are scattered among several stakeholders. Police authorities, emergency agencies, hospitals, road concessions, and the national road safety authorities all hold partial data about accidents and their consequences related to human lives. If such data could become widely available on production time, e.g., when an emergency doctor reports injuries or deaths, a police officer registers the scenario, etc., intelligent analytics could be used on such data towards helpful decision support. To cope with the wide diversity of data sources and ownership, more than data integration, this requires an approach for collaborative data management. Based on previous work on strategies to structure computing and communication artifacts and data science management, we present and discuss a collaborative traffic data management strategy considering the data producers as part of an intelligent traffic collaborative network. The challenge is thus to rethink traffic and accident data collection and management under the responsibility of diverse organizations, keeping their processes and technology culture, but promoting sharing and collaboration. Therefore, the proposed approach considers data analysis performed through business processes executed in the context of virtual organizations.

Original languageEnglish
Title of host publicationCollaborative Networks in Digitalization and Society 5.0
Subtitle of host publication23rd IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2022, Lisbon, Portugal, September 19–21, 2022, Proceedings
EditorsLuís M. Camarinha-Matos, Angel Ortiz, Xavier Boucher, A. Luís Osório
Place of PublicationCham
PublisherSpringer
Pages230-241
Number of pages12
ISBN (Electronic)978-3-031-14844-6
ISBN (Print)978-3-031-14843-9
DOIs
Publication statusPublished - Sep 2022
Event23rd IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2022 - Lisbon, Portugal
Duration: 19 Sep 202221 Sep 2022

Publication series

NameIFIP Advances in Information and Communication Technology
PublisherSpringer
Volume662
ISSN (Print)1868-4238
ISSN (Electronic)1868-422X

Conference

Conference23rd IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2022
Country/TerritoryPortugal
CityLisbon
Period19/09/2221/09/22

Keywords

  • Collaborative networks
  • Data science and analytics
  • Distributed systems integration
  • System of systems integration
  • Virtual organizations

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