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Fuel Consumption Estimation System and Method with Lower Cost

dc.citation.epage0en_US
dc.citation.issue7en_US
dc.citation.spage0en_US
dc.citation.volume9en_US
dc.citation.woscount1en_US
dc.contributor.authorLo, Chi-Lunen_US
dc.contributor.authorChen, Chi-Huaen_US
dc.contributor.authorKuan, Ta-Shengen_US
dc.contributor.authorLo, Kuen-Rongen_US
dc.contributor.authorCho, Hsun-Jungen_US
dc.contributor.department電機工程學系zh_TW
dc.contributor.department運輸與物流管理系 註:原交通所+運管所zh_TW
dc.contributor.departmentDepartment of Electrical and Computer Engineeringen_US
dc.contributor.departmentDepartment of Transportation and Logistics Managementen_US
dc.date.accessioned2019-04-03T06:44:04Z
dc.date.available2019-04-03T06:44:04Z
dc.date.issued2017-07-01en_US
dc.description.abstractThis study proposes a fuel consumption estimation system and method with lower cost. On-board units can report vehicle speed, and user devices can send fuel information to a data analysis server. Then the data analysis server can use the proposed fuel consumption estimation method to estimate the fuel consumption based on driver behaviours without fuel sensors for cost savings. The proposed fuel consumption estimation method is designed based on a genetic algorithm which can generate gene sequences and use crossover and mutation for retrieving an adaptable gene sequence. The adaptable gene sequence can be applied as the set of fuel consumption in accordance with the pattern of driver behaviour. The practical experimental results indicated that the accuracy of the proposed fuel consumption estimation method was about 95.87%.en_US
dc.identifier.doi10.3390/sym9070105en_US
dc.identifier.issn2073-8994en_US
dc.identifier.journalSYMMETRY-BASELen_US
dc.identifier.urihttp://dx.doi.org/10.3390/sym9070105en_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/145907
dc.identifier.wosnumberWOS:000407518300010en_US
dc.language.isoen_USen_US
dc.subjectfuel consumption estimationen_US
dc.subjectdriver behavioren_US
dc.subjectgenetic algorithmen_US
dc.titleFuel Consumption Estimation System and Method with Lower Costen_US
dc.typeArticleen_US

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