Assessing the development of autonomous cars

• Autorzy: Prata Tiago , Mira da Silva Miguel , Santoro Flávia , Reis Pereira António

Identyfikatory

DOI

10.20858/tp.2024.19.1.17

• Języki publikacji: EN

Abstrakty

EN

With recent innovations regarding autonomous vehicles and the fact that several vehicle brands have started to deploy autonomous driving functionalities, it is still unknown what these innovations may offer to social lives. Owing to the ability to autonomously drive from one location to another, the concept of shared autonomous vehicles was created to let an individual turn their assets into a source of income while other individuals could use this service without having to own a vehicle. The development of this emerging concept was aided by an evaluation of an ontology already presented regarding the topic of shared autonomous vehicles performed by three different frameworks (OQuaRE, OntoMetrics and OOPS) that generally agreed with the validity of the proposed ontology.

Słowa kluczowe

EN

ontology evaluation; metrics; shared autonomous vehicles

PL

ocena ontologii; metryki; współdzielone pojazdy autonomiczne

• Wydawca: Wydawnictwo Politechniki Śląskiej
• Czasopismo: Transport Problems
• Rocznik: 2024
• Tom: T. 19, z. 1
• Strony: 209--218
• Opis fizyczny: Bibliogr. 20 poz.

Twórcy

autor

Prata Tiago

• Instituto Superior Técnico, Av. Rovisco Pais 1, Lisbon, 1049-001, Portugal

• https://orcid.org/0000-0002-8929-4097

autor

Mira da Silva Miguel

• INOV, Rua Alves Redol 9, Lisbon, 1000-029, Portugal

• https://orcid.org/0000-0002-0489-4465

autor

Santoro Flávia

• Inteli, Estrada Paço do Lumiar, Campus do Inteli Edif. M-8, Lisbon, 1600-546, Portugal

• https://orcid.org/0000-0003-3421-1984

autor

Reis Pereira António

• Instituto Superior Técnico, Av. Rovisco Pais 1, Lisbon, 1049-001, Portugal

• https://orcid.org/0000-0002-8408-2554

Bibliografia

• 1. Verma, A. An abstract framework for ontology evaluation. In: 2016 International Conference on Data Science and Engineering (ICDSE). 2016. P. 1-6. DOI: 10.1109/ICDSE.2016.7823945.
• 2. Hlomani, H. & Stacey D.A. Approaches, methods, metrics, measures, and subjectivity in ontology evaluation: A survey. Semantic Web Journal. 2014. P. 1-5.
• 3. Ensan, F. & Du, W. A semantic metrics suite for evaluating modular ontologies. Inf. Syst. 2013. Vol. 38(5). P. 745-770.
• 4. Garda, J. & Garda-Penalvo, J. & Therón, R. A survey on ontology metrics. In: Lytras M.D. & Ordonez De Pablos, P. & Ziderman, A. & Roulstone, A. & Maurer, H. & Imber, J.B. (eds.) Knowledge Management, Information Systems, E-Learning, and Sustainability Research. WSKS 2010. Communications in Computer and Information Science. Springer. Berlin, Heidelberg. 2010. P. 22-27.
• 5. Duque-Ramos, A. & Boeker, M. & Jansen, L. & Schulz, S. & Iniesta, M. & Fernndez-Breis, J. Evaluating the good ontology design guideline (GoodOD) with the ontology quality requirements and evaluation method and metrics (OQuaRE). PLoS ONE. 2014. Vol. 9. No. e104463.
• 6. Duque-Ramos, A. & Fernndez-Breis, J. & Iniesta, M. & Dumontier, M. & Egaa Aranguren, M. & Schulz, S. & Aussenac-Gilles, N. & Stevens, R. Evaluation of the OQuaRE framework for ontology quality. Expert Systems with Applications. 2013. Vol. 40. P. 2696-2703.
• 7. Lantow, B. OntoMetrics: Putting Metrics into Use for Ontology Evaluation. In: KEOD. 2016. P. 186-191.
• 8. Poveda-Villalôn, M. & Gômez-Pérez, A. & SuârezFigueroa, M.C. OOPS! (OntOlogy Pitfall Scanner!): an on-line tool for ontology evaluation. International Journal on Semantic Web and Information Systems. 2014. Vol. 10(2). P. 7-34. DOI: 10.4018/ijswis.2014040102.
• 9. Quesada-Martinez, M. & Duque-Ramos, A. & Iniesta-Moreno, M. & FernândezBreis, J.T. Preliminary analysis of the OBO foundry ontologies and their evolution using OQuaRE. Stud. Health Technol. Inform. 2017. Vol. 235(1). P. 426-430.
• 10. Gruber, T. Toward principles for the design of ontologies used for knowledge sharing. International Journal of Human-Computer Studies. 1995. Vol. 43. P. 907-928.
• 11. Sousa Boieiro, P. & Silva, M.M. & Santoro, F.M. & Reis Pereira, A.R. Shared autonomous vehicles ontology. In: Digital Technologies and Transformation in Business, Industry and Organizations. Cham: Springer International Publishing. 2022. P. 51-78.
• 12. Martinez, L.M. & Viegas, J.M. Assessing the impacts of deploying a shared self-driving urban mobility system: An agent-based model applied to the city of Lisbon, Portugal. International Journal of Transportation Science and Technology. 2017. Vol. 6(1). P. 13-27.
• 13. Sousa Carneiro, P.D. & Reis Pereira, A. & Silva, M.M.D. A model for the deployment of shared autonomous vehicles in urban areas based on the research literature. International Journal of Transport Development and Integration. 2023. Vol. 7(3). P. 199-213.
• 14. Chatman, D.G. & Moran, M. Autonomous vehicles in the United States: Understanding why and how cities and regions are responding. 2019. UC Berkeley. Report No. UC-ITS-2019-13.
• 15. Pizzuto, L. & Thomas, C. & Wang, A. & Wu, T. How China will help fuel the revolution in autonomous vehicles. McKinsey & Company. January, 2019.
• 16. Waymo. Arriving soon in the City of Angels. Available at: https://waymo.com/waymo-one-los- angeles/.
• 17. Fan, Q. van Essen, J.T. & Correia, G.H. Optimising fleet sizing and management of shared automated vehicle (SAV) services: A mixed-integer programming approach integrating endogenous demand, congestion effects, and accept/reject mechanism impacts. Transportation Research Part C: Emerging Technologies. 2023. Vol. 157. No. 104398.
• 18. Metz, D. Developing policy for urban autonomous vehicles: Impact on congestion. Urban Science. 2018. Vol. 2(2). No. 33.
• 19. Delle Site, P. Pricing of connected and autonomous vehicles in mixed-traffic networks. Transportation Research Record. 2021. Vol. 2675(5). P. 178-192.
• 20. Narayanan, S. & Chaniotakis, E. & Antoniou, C. Shared autonomous vehicle services: A comprehensive review. Transportation Research Part C: Emerging Technologies. 2020. Vol. 111. P. 255-293.