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== Abstract == | == Abstract == | ||
− | Part 3: Knowledge Based Production Management; International audience; The public transportation in urban centers involve many challenges related to environment. One of these challenges is reduce air and noise pollution in big cities. In | + | Part 3: Knowledge Based Production Management; International audience; The public transportation in urban centers involve many challenges related to environment. One of these challenges is reduce air and noise pollution in big cities. In São Paulo, for instance, it is estimated that 98 % of the transport are made using buses with combustion engine, which are responsible for greatest part of air and noise pollution. Therefore, it is necessary to develop studies that help change the public transport policies in major cities, favoring the use of electric and hybrid buses. Thus, this paper aims to simulate the use of hybrid bus with fuzzy logic applied to improve the efficiency of this type of system. We made six simulations with MATLAB© software and Fuzzy Logic Toolbox, considering velocity, topography and battery status as input variables. The results showed an effective control of the fuzzy system, with the feasibility of combining this with others experts systems. |
Document type: Part of book or chapter of book | Document type: Part of book or chapter of book | ||
== Full document == | == Full document == | ||
− | <pdf>Media: | + | <pdf>Media:Reis_et_al_2015a-beopen1692-3271-document.pdf</pdf> |
Part 3: Knowledge Based Production Management; International audience; The public transportation in urban centers involve many challenges related to environment. One of these challenges is reduce air and noise pollution in big cities. In São Paulo, for instance, it is estimated that 98 % of the transport are made using buses with combustion engine, which are responsible for greatest part of air and noise pollution. Therefore, it is necessary to develop studies that help change the public transport policies in major cities, favoring the use of electric and hybrid buses. Thus, this paper aims to simulate the use of hybrid bus with fuzzy logic applied to improve the efficiency of this type of system. We made six simulations with MATLAB© software and Fuzzy Logic Toolbox, considering velocity, topography and battery status as input variables. The results showed an effective control of the fuzzy system, with the feasibility of combining this with others experts systems.
Document type: Part of book or chapter of book
The different versions of the original document can be found in:
Published on 01/01/2015
Volume 2015, 2015
DOI: 10.1007/978-3-319-22756-6_31
Licence: Other
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