A spatial-temporal estimation model of residual energy for pure electric buses based on traffic performance index
The relationship between the energy consumption of buses and traffic conditions has gradually garnered research attention with the expansion of the green transportation concept and the promotion of new energy buses. In line with these developments, this study develops a spatial–temporal estimation m...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
2017-01-01
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| Series: | Tehnički Vjesnik |
| Subjects: | |
| Online Access: | https://hrcak.srce.hr/file/280283 |
| _version_ | 1827282995835305984 |
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| author | Li Wang Jingfeng Yang Nanfeng Zhang Ji Yang Yong Li Jiarong He Feng Yang Handong Zhou |
| author_facet | Li Wang Jingfeng Yang Nanfeng Zhang Ji Yang Yong Li Jiarong He Feng Yang Handong Zhou |
| author_sort | Li Wang |
| collection | DOAJ |
| description | The relationship between the energy consumption of buses and traffic conditions has gradually garnered research attention with the expansion of the green transportation concept and the promotion of new energy buses. In line with these developments, this study develops a spatial–temporal estimation model of residual energy for pure electric buses with fuzzy clustering and time-series algorithms. These algorithms are based on the traffic performance index of the road sections between the nearest bus stops. Furthermore, they are established according to the positions of floating vehicles and the bus routes in combination with the energy consumption data derived from the battery management system of pure electric buses. Test results show that these estimation algorithms can accurately describe the spatial–temporal relationship between traffic performance index and the residual energy in pure electric buses. Thus, they can be applied as significant references in the analysis of traffic conditions, energy conservation, and emission reduction for buses. |
| first_indexed | 2024-04-24T09:28:25Z |
| format | Article |
| id | doaj.art-ff1b639355324da08f7c5989355388cd |
| institution | Directory Open Access Journal |
| issn | 1330-3651 1848-6339 |
| language | English |
| last_indexed | 2024-04-24T09:28:25Z |
| publishDate | 2017-01-01 |
| publisher | Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek |
| record_format | Article |
| series | Tehnički Vjesnik |
| spelling | doaj.art-ff1b639355324da08f7c5989355388cd2024-04-15T14:28:06ZengFaculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in OsijekTehnički Vjesnik1330-36511848-63392017-01-012461803181110.17559/TV-20170406120417A spatial-temporal estimation model of residual energy for pure electric buses based on traffic performance indexLi Wang0Jingfeng Yang1Nanfeng Zhang2Ji Yang3Yong Li4Jiarong He5Feng Yang6Handong Zhou7The School of Computer Software, Section A, Building 55, Tianjin University Beiyangyuan Campus, No. 135, Ya Guan Road, Jinnan District, Tianjin, 300354 ChinaGuangzhou Yuntu Information Technology CO, LTD, & Open Laboratory of Geo-spatial Information Technology and Application of Guangdong Province, Guangzhou Institute of Geography,100 Xianliezhong Road, Guangzhou 510070, China.Senior Engineer, Chief Engineer of Guangzhou Entry Exit Inspection and Quarantine Bureau laboratory. Mechanical and electrical integration, vehicle detection and fault diagnosis. Members of Society of automotive engineering of China, science and technologOpen Laboratory of Geo-spatial Information Technology and Application of Guangdong Province, Guangzhou Institute of Geography, 100 Xianliezhong Road, Guangzhou 510070, ChinaOpen Laboratory of Geo-spatial Information Technology and Application of Guangdong Province, Guangzhou Institute of Geography, 100 Xianliezhong Road, Guangzhou 510070, ChinaDeputy Chief of integrated four division in Foshan municipal people's government officeOpen Laboratory of Geo-spatial Information Technology and Application of Guangdong Province, Guangzhou Institute of Geography, 100 Xianliezhong Road, Guangzhou 510070, ChinaGuangzhou Yuntu Information Technology CO, LTD, & Open Laboratory of Geo-spatial Information Technology and Application of Guangdong Province, Guangzhou Institute of Geography, 100 Xianliezhong Road, Guangzhou 510070, ChinaThe relationship between the energy consumption of buses and traffic conditions has gradually garnered research attention with the expansion of the green transportation concept and the promotion of new energy buses. In line with these developments, this study develops a spatial–temporal estimation model of residual energy for pure electric buses with fuzzy clustering and time-series algorithms. These algorithms are based on the traffic performance index of the road sections between the nearest bus stops. Furthermore, they are established according to the positions of floating vehicles and the bus routes in combination with the energy consumption data derived from the battery management system of pure electric buses. Test results show that these estimation algorithms can accurately describe the spatial–temporal relationship between traffic performance index and the residual energy in pure electric buses. Thus, they can be applied as significant references in the analysis of traffic conditions, energy conservation, and emission reduction for buses.https://hrcak.srce.hr/file/280283fuzzy clusteringfuzzy time seriespure electric busresidual energytraffic index |
| spellingShingle | Li Wang Jingfeng Yang Nanfeng Zhang Ji Yang Yong Li Jiarong He Feng Yang Handong Zhou A spatial-temporal estimation model of residual energy for pure electric buses based on traffic performance index Tehnički Vjesnik fuzzy clustering fuzzy time series pure electric bus residual energy traffic index |
| title | A spatial-temporal estimation model of residual energy for pure electric buses based on traffic performance index |
| title_full | A spatial-temporal estimation model of residual energy for pure electric buses based on traffic performance index |
| title_fullStr | A spatial-temporal estimation model of residual energy for pure electric buses based on traffic performance index |
| title_full_unstemmed | A spatial-temporal estimation model of residual energy for pure electric buses based on traffic performance index |
| title_short | A spatial-temporal estimation model of residual energy for pure electric buses based on traffic performance index |
| title_sort | spatial temporal estimation model of residual energy for pure electric buses based on traffic performance index |
| topic | fuzzy clustering fuzzy time series pure electric bus residual energy traffic index |
| url | https://hrcak.srce.hr/file/280283 |
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