Simulação do Comportamento de um Agente Inteligente Guiado por Regras de Trânsito
Resumo
Um Veículo Autônomo (VA), presente em um ambiente de tráfego urbano comum, deverá agir de acordo com as regras de trânsito locais, e seu controlador precisa ser capaz de considerar tais regras durante o planejamento de suas ações. Tal controlador, pode ser modelado como um agente inteligente que por sua vez, precisa de uma representação compreensível das regras de trânsito urbano. Neste trabalho é apresentado um modelo para um ambiente para simulação de um agente, que controla o VA de acordo com um fragmento das regras destinadas aos cruzamentos urbanos.Referências
Alves, G., Dennis, L., and Fisher, M. (2019). An Agent-Based Architecture supported by Temporal Logic for representing the Rules of the Road on Autonomous Vehicles. In Luckcuck, M., Farrell, M., and Fisher, M., editors, FMAS Workshop Pre-Proceedings 2019, volume 1, pages 41–48, Porto, Portugal. FMAS - A satellite workshop of Formal Methods 2019, Porto, Portugal.
Alves, G. V., Dennis, L., and Fisher, M. (2018). Formalisation of the Rules of the Road for embedding into an Autonomous Vehicle Agent. In International Workshop on Verification and Validation of Autonomous Systems, pages 1–2, Oxford, UK.
Blankesteijn, M., Jong, F. D., and Bossink, B. (2019). Closed-open innovation strategy for autonomous vehicle development. International Journal of Automotive Technology and Management, 19(1-2):74–103.
BRASIL, D. (1997). Código brasileiro de trânsito. [link].
Dennis, L. A. (2017). Gwendolen Semantics: 2017. Technical Report ULCS-17-001, University of Liverpool, Department of Computer Science.
Dennis, L. A. (2018). The mcapl framework including the agent infrastructure layer and agent java pathfinder. The Journal of Open Source Software.
Dennis, L. A., Fisher, M., Webster, M. P., and Bordini, R. H. (2012). Model checking agent programming languages. Automated Software Engineering, 19(1):5–63.
Department for Transport, U. (2017). Using the road (159 to 203) - The Highway Code - Guidance - GOV.UK.
Ferreira, V. T. and Alves, G. (2019a). Desenvolvimento de uma ontologia para representação de objetos e ações do código de trânsito em um veículo autônomo. In Anais do III Workshop de Pesquisa em Computação dos Campos Gerais, volume 3, Ponta Grossa, Paraná. UTFPR Campus Ponta Grossa.
Ferreira, V. T. and Alves, G. (2019b). Representação de Objetos do Código de Trânsito Através de Uma Ontologia Para Aplicação em um Veıculo Autônomo. In 13th Workshop-School on Agents, Environments, and Applications (WESAAC 2019), Florianopólis. Editora UFSC.
Gomes, L. (2014). Hidden obstacles for google’s self-driving cars. MIT Technology Review.
Herrmann, A., Brenner, W., and Stadler, R. (2018). Autonomous driving: how the driverless revolution will change the world. Emerald Publishing, Bingley North America Japan India Malaysia China, first edition. OCLC: 1031123857.
Law Commission - UK (2020). Automated Vehicles: Summary of the Analysis of Responses to the Preliminary Consultation Paper. [link].
Prakken, H. (2017). On the problem of making autonomous vehicles conform to traffic law. Artificial Intelligence and Law, 25(3):341–363.
Rao, A. S. and Wooldridge, M. (1999). Foundations of rational agency. In Foundations of rational agency, pages 1–10. Springer.
Silberg, G., Wallace, R., Matuszak, G., Plessers, J., Brower, C., and Subramanian, D. (2012). Self-driving cars: The next revolution. White paper, KPMG LLP & Center of Automotive Research, page 36.
Vellinga, N. E. (2017). From the testing to the deployment of self-driving cars: legal challenges to policymakers on the road ahead. Computer Law & Security Review, 33(6):847–863.
Wooldridge, M. and Jennings, N. R. (1995). Intelligent agents: Theory and practice. The knowledge engineering review, 10(2):115–152.
Alves, G. V., Dennis, L., and Fisher, M. (2018). Formalisation of the Rules of the Road for embedding into an Autonomous Vehicle Agent. In International Workshop on Verification and Validation of Autonomous Systems, pages 1–2, Oxford, UK.
Blankesteijn, M., Jong, F. D., and Bossink, B. (2019). Closed-open innovation strategy for autonomous vehicle development. International Journal of Automotive Technology and Management, 19(1-2):74–103.
BRASIL, D. (1997). Código brasileiro de trânsito. [link].
Dennis, L. A. (2017). Gwendolen Semantics: 2017. Technical Report ULCS-17-001, University of Liverpool, Department of Computer Science.
Dennis, L. A. (2018). The mcapl framework including the agent infrastructure layer and agent java pathfinder. The Journal of Open Source Software.
Dennis, L. A., Fisher, M., Webster, M. P., and Bordini, R. H. (2012). Model checking agent programming languages. Automated Software Engineering, 19(1):5–63.
Department for Transport, U. (2017). Using the road (159 to 203) - The Highway Code - Guidance - GOV.UK.
Ferreira, V. T. and Alves, G. (2019a). Desenvolvimento de uma ontologia para representação de objetos e ações do código de trânsito em um veículo autônomo. In Anais do III Workshop de Pesquisa em Computação dos Campos Gerais, volume 3, Ponta Grossa, Paraná. UTFPR Campus Ponta Grossa.
Ferreira, V. T. and Alves, G. (2019b). Representação de Objetos do Código de Trânsito Através de Uma Ontologia Para Aplicação em um Veıculo Autônomo. In 13th Workshop-School on Agents, Environments, and Applications (WESAAC 2019), Florianopólis. Editora UFSC.
Gomes, L. (2014). Hidden obstacles for google’s self-driving cars. MIT Technology Review.
Herrmann, A., Brenner, W., and Stadler, R. (2018). Autonomous driving: how the driverless revolution will change the world. Emerald Publishing, Bingley North America Japan India Malaysia China, first edition. OCLC: 1031123857.
Law Commission - UK (2020). Automated Vehicles: Summary of the Analysis of Responses to the Preliminary Consultation Paper. [link].
Prakken, H. (2017). On the problem of making autonomous vehicles conform to traffic law. Artificial Intelligence and Law, 25(3):341–363.
Rao, A. S. and Wooldridge, M. (1999). Foundations of rational agency. In Foundations of rational agency, pages 1–10. Springer.
Silberg, G., Wallace, R., Matuszak, G., Plessers, J., Brower, C., and Subramanian, D. (2012). Self-driving cars: The next revolution. White paper, KPMG LLP & Center of Automotive Research, page 36.
Vellinga, N. E. (2017). From the testing to the deployment of self-driving cars: legal challenges to policymakers on the road ahead. Computer Law & Security Review, 33(6):847–863.
Wooldridge, M. and Jennings, N. R. (1995). Intelligent agents: Theory and practice. The knowledge engineering review, 10(2):115–152.
Publicado
07/07/2020
Como Citar
FERREIRA, Vithor Tozetto; ALVES, Gleifer Vaz.
Simulação do Comportamento de um Agente Inteligente Guiado por Regras de Trânsito. In: WORKSHOP-ESCOLA DE SISTEMAS DE AGENTES, SEUS AMBIENTES E APLICAÇÕES (WESAAC), 14. , 2020, Evento Online.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2020
.
p. 177-184.
ISSN 2326-5434.
DOI: https://doi.org/10.5753/wesaac.2020.33390.
