Reis et al 2015a - Revision history

Scipediacontent at 22:43, 28 January 2021

2021-01-28T22:43:11Z

Scipediacontent: Scipediacontent moved page Draft Content 594600162 to Reis et al 2015a

2021-01-21T13:21:56Z

Scipediacontent moved page Draft Content 594600162 to Reis et al 2015a

Scipediacontent: Created page with " == Abstract == Part 3: Knowledge Based Production Management; International audience; The public transportation in urban centers involve many challenges related to environme..."

2021-01-21T13:21:53Z

Created page with " == Abstract == Part 3: Knowledge Based Production Management; International audience; The public transportation in urban centers involve many challenges related to environme..."

New page

== 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 SÃ£o Paulo, for instance, it is estimated that 98Â % 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 MATLABÂ© 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

== Full document ==
<pdf>Media:Draft_Content_594600162-beopen378-7153-document.pdf</pdf>

== Original document ==

The different versions of the original document can be found in:

* [https://hal.archives-ouvertes.fr/hal-01417485/file/346972_1_En_31_Chapter.pdf https://hal.archives-ouvertes.fr/hal-01417485/file/346972_1_En_31_Chapter.pdf] under the license https://creativecommons.org/licenses/by

* [http://link.springer.com/content/pdf/10.1007/978-3-319-22756-6_31 http://link.springer.com/content/pdf/10.1007/978-3-319-22756-6_31],
: [http://dx.doi.org/10.1007/978-3-319-22756-6_31 http://dx.doi.org/10.1007/978-3-319-22756-6_31] under the license cc-by

* [https://hal.archives-ouvertes.fr/hal-01417485 https://hal.archives-ouvertes.fr/hal-01417485],
: [https://hal.archives-ouvertes.fr/hal-01417485/document https://hal.archives-ouvertes.fr/hal-01417485/document],
: [https://hal.archives-ouvertes.fr/hal-01417485/file/346972_1_En_31_Chapter.pdf https://hal.archives-ouvertes.fr/hal-01417485/file/346972_1_En_31_Chapter.pdf] under the license http://www.springer.com/tdm

* [https://link.springer.com/chapter/10.1007/978-3-319-22756-6_31 https://link.springer.com/chapter/10.1007/978-3-319-22756-6_31],
: [https://dblp.uni-trier.de/db/conf/ifip5-7/apms2015-1.html#AbrahamMSPRRNVM15 https://dblp.uni-trier.de/db/conf/ifip5-7/apms2015-1.html#AbrahamMSPRRNVM15],
: [https://rd.springer.com/chapter/10.1007/978-3-319-22756-6_31 https://rd.springer.com/chapter/10.1007/978-3-319-22756-6_31],
: [https://academic.microsoft.com/#/detail/2403677512 https://academic.microsoft.com/#/detail/2403677512] under the license http://creativecommons.org/licenses/by/

@@ Line 2: / Line 2: @@
 == 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 SÃ£o Paulo, for instance, it is estimated that 98Â % 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 MATLABÂ© 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.
+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
 == Full document ==
-<pdf>Media:Draft_Content_594600162-beopen378-7153-document.pdf</pdf>
+<pdf>Media:Reis_et_al_2015a-beopen1692-3271-document.pdf</pdf>

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