BusAI: An BDI-agent-based Urban Transport Information System
Resumo
This paper proposes an information system for urban transport, leveraging an Embedded Multi-agent System based on the Belief-Desire-Intention (BDI) model. It involves developing a simulated environment where AI agents, implemented using Jason and communicating via Javino, manage real-time bus data and interact with virtual information points. This system aims to enhance the urban mobility experience by providing passengers with accurate, dynamic information regarding bus location, occupancy, and estimated arrival times, thereby improving operational efficiency and passenger satisfaction. This paper details a proof of concept demonstrating the viability of this multi-agent approach in addressing real-world public transport challenges.
Referências
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Bordini, R. H., Hübner, J. F., and Wooldridge, M. (2007). Programming Multi-Agent Systems in AgentSpeak using Jason. John Wiley & Sons.
Bordini, R. H. and Vieira, R. (2003). Linguagens de programação orientadas a agentes: uma introdução baseada em AgentSpeak(L). Revista de informática teórica e aplicada, 10(1):7–38. URL: [link].
Bratman, M. E., Israel, D. J., and Pollack, M. E. (1988). Plans and resource-bounded practical reasoning. Computational Intelligence, 4(3):349–355. DOI: 10.1111/j.1467-8640.1988.tb00284.x.
Freitas, B., Lazarin, N., Pantoja, C., and Viterbo, J. (2025). Integrating Simulated Exogenous Environments to Support the Learning Process of the Embedded MAS Approach. In WEI 2025, pages 1195–1206, Porto Alegre. SBC. DOI: 10.5753/wei.2025.9115.
Giaretta, J. B. Z. and Di Giulio, G. M. (2017). The role of the Information and Communication Technologies (ICT) in the urban 21st cend in the emergence of new social movements: reflections on experiences in the São Paulo megacity. Revista Brasileira de Estudos Urbanos e Regionais, 20(1):161. DOI: 10.22296/2317-1529.2018v20n1p161.
Google (2025). Maps platform documentation. [link]. Accessed: 2025-08-11.
Lazarin, N. and Pantoja, C. (2015). A Robotic-agent Platform For Embedding Software Agents using Raspberry Pi and Arduino Boards. In Anais do IX Workshop-Escola de Sistemas de Agentes, seus Ambientes e Aplicações, pages 13–20, Porto Alegre, RS, Brasil. SBC. DOI: 10.5753/wesaac.2015.33308.
Lazarin, N., Pantoja, C., and Viterbo, J. (2023). Towards a Toolkit for Teaching AI Supported by Robotic-agents: Proposal and First Impressions. In Proceedings of XXXI WEI, pages 20–29, Porto Alegre, RS, Brasil. SBC. DOI: 10.5753/wei.2023.229753.
Nunes, P., Almeida, I., Picanço, T., Pantoja, C., Samyn, L., Jesus, V., and Manoel, F. (2018). Exploring Communication Between Embedded Multi-Agent Systems in Smart Environments for IoT: A Proposed Laboratory. In WESAAC 2018, pages 238–243, Porto Alegre, RS, Brasil. SBC. DOI: 10.5753/wesaac.2018.33272.
Pantoja, C. E., Jesus, V. S. d., Lazarin, N. M., and Viterbo, J. (2023). A Spin-off Version of Jason for IoT and Embedded Multi-Agent Systems. In Intelligent Systems, pages 382–396, Cham. Springer. DOI: 10.1007/978-3-031-45368-7_25.
Pantoja, C. E., Stabile, M. F., Lazarin, N. M., and Sichman, J. S. (2016). ARGO: An Extended Jason Architecture that Facilitates Embedded Robotic Agents Programming. In Engineering Multi-Agent Systems, pages 136–155, Cham. Springer International Publishing. DOI: 10.1007/978-3-319-50983-9_8.
Rao, A. S. and Georgeff, M. P. (1995). BDI Agents: From Theory to Practice. In Proceedings of ICMAS’95, pages 312–319, San Francisco, CA, USA.
SimulIDE Project (2025). Simulide: Real time electronic circuit simulator. [link]. Accessed: 2025-08-11.
Vuchic, V. R. (2017). Urban Transit: Systems and Technology. John Wiley & Sons. Olio, L., Ibeas, A., de Ona, J., and de Ona, R. (2017). Public Transportation Quality of Service: Factors, Models, and Applications. Elsevier.
Bordini, R. H., Hübner, J. F., and Wooldridge, M. (2007). Programming Multi-Agent Systems in AgentSpeak using Jason. John Wiley & Sons.
Bordini, R. H. and Vieira, R. (2003). Linguagens de programação orientadas a agentes: uma introdução baseada em AgentSpeak(L). Revista de informática teórica e aplicada, 10(1):7–38. URL: [link].
Bratman, M. E., Israel, D. J., and Pollack, M. E. (1988). Plans and resource-bounded practical reasoning. Computational Intelligence, 4(3):349–355. DOI: 10.1111/j.1467-8640.1988.tb00284.x.
Freitas, B., Lazarin, N., Pantoja, C., and Viterbo, J. (2025). Integrating Simulated Exogenous Environments to Support the Learning Process of the Embedded MAS Approach. In WEI 2025, pages 1195–1206, Porto Alegre. SBC. DOI: 10.5753/wei.2025.9115.
Giaretta, J. B. Z. and Di Giulio, G. M. (2017). The role of the Information and Communication Technologies (ICT) in the urban 21st cend in the emergence of new social movements: reflections on experiences in the São Paulo megacity. Revista Brasileira de Estudos Urbanos e Regionais, 20(1):161. DOI: 10.22296/2317-1529.2018v20n1p161.
Google (2025). Maps platform documentation. [link]. Accessed: 2025-08-11.
Lazarin, N. and Pantoja, C. (2015). A Robotic-agent Platform For Embedding Software Agents using Raspberry Pi and Arduino Boards. In Anais do IX Workshop-Escola de Sistemas de Agentes, seus Ambientes e Aplicações, pages 13–20, Porto Alegre, RS, Brasil. SBC. DOI: 10.5753/wesaac.2015.33308.
Lazarin, N., Pantoja, C., and Viterbo, J. (2023). Towards a Toolkit for Teaching AI Supported by Robotic-agents: Proposal and First Impressions. In Proceedings of XXXI WEI, pages 20–29, Porto Alegre, RS, Brasil. SBC. DOI: 10.5753/wei.2023.229753.
Nunes, P., Almeida, I., Picanço, T., Pantoja, C., Samyn, L., Jesus, V., and Manoel, F. (2018). Exploring Communication Between Embedded Multi-Agent Systems in Smart Environments for IoT: A Proposed Laboratory. In WESAAC 2018, pages 238–243, Porto Alegre, RS, Brasil. SBC. DOI: 10.5753/wesaac.2018.33272.
Pantoja, C. E., Jesus, V. S. d., Lazarin, N. M., and Viterbo, J. (2023). A Spin-off Version of Jason for IoT and Embedded Multi-Agent Systems. In Intelligent Systems, pages 382–396, Cham. Springer. DOI: 10.1007/978-3-031-45368-7_25.
Pantoja, C. E., Stabile, M. F., Lazarin, N. M., and Sichman, J. S. (2016). ARGO: An Extended Jason Architecture that Facilitates Embedded Robotic Agents Programming. In Engineering Multi-Agent Systems, pages 136–155, Cham. Springer International Publishing. DOI: 10.1007/978-3-319-50983-9_8.
Rao, A. S. and Georgeff, M. P. (1995). BDI Agents: From Theory to Practice. In Proceedings of ICMAS’95, pages 312–319, San Francisco, CA, USA.
SimulIDE Project (2025). Simulide: Real time electronic circuit simulator. [link]. Accessed: 2025-08-11.
Vuchic, V. R. (2017). Urban Transit: Systems and Technology. John Wiley & Sons. Olio, L., Ibeas, A., de Ona, J., and de Ona, R. (2017). Public Transportation Quality of Service: Factors, Models, and Applications. Elsevier.
Publicado
29/09/2025
Como Citar
LIRA, Lucas; SERAFIM, Andrei; LAZARIN, Nilson; FREITAS, Bruno; PANTOJA, Carlos.
BusAI: An BDI-agent-based Urban Transport Information System. In: WORKSHOP-ESCOLA DE SISTEMAS DE AGENTES, SEUS AMBIENTES E APLICAÇÕES (WESAAC), 19. , 2025, Fortaleza/CE.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2025
.
p. 137-144.
ISSN 2326-5434.
DOI: https://doi.org/10.5753/wesaac.2025.37550.
