Lessons learned from one decade of developing agent-based tools for traffic modeling, simulation, and control: how to make cities smarter

  • Ana L. C. Bazzan UFRGS

Resumo


While there is no definitive agenda for making cities smarter in terms of mobility, intuition says that information is key. However, contrarily to a more technical view, information should not only be consumed by the users, but also produced by them. This is already happening (smart-phones, social networks) but is far from being exploited by technical systems related to transportation. In this paper I discuss some of the issues related to more human-centered transportation system. It is argued that users of this system are somehow influencing it with their increasing coupled behaviors. Thus, there is a real opportunity for changing the paradigm in order to take advantage of the collective intelligence.
Palavras-chave: traffic modeling, simulation, how to make cities smarter

Referências

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Bazzan, A. L. C. and Azzi, G. G. (2012). “An investigation on the use of navigation devices in smart transportation systems”. In Anais do VIII Simpósio Brasileiro de Sistemas de Informação . SBC.

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Publicado
16/05/2012
BAZZAN, Ana L. C.. Lessons learned from one decade of developing agent-based tools for traffic modeling, simulation, and control: how to make cities smarter. In: SIMPÓSIO BRASILEIRO DE SISTEMAS DE INFORMAÇÃO (SBSI), 8. , 2012, São Paulo. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2012 . p. 483-488. DOI: https://doi.org/10.5753/sbsi.2012.14431.