Research on eco-driving strategy at intersection based on vehicle infrastructure cooperative system
An eco-driving strategy is established in this article which includes four parts, namely, initial judging model, speed prediction model based on back-propagation neural network, MATLAB curve fitting, and integral. First, based on vehicle infrastructure cooperative systems, the initial judging model...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2019-04-01
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| Series: | Advances in Mechanical Engineering |
| Online Access: | https://doi.org/10.1177/1687814019843368 |
| _version_ | 1818937113742147584 |
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| author | Zhifa Yang Huanjing Zeng Zhuo Yu Xuexin Wei Aimin Liu Xianjun Fan |
| author_facet | Zhifa Yang Huanjing Zeng Zhuo Yu Xuexin Wei Aimin Liu Xianjun Fan |
| author_sort | Zhifa Yang |
| collection | DOAJ |
| description | An eco-driving strategy is established in this article which includes four parts, namely, initial judging model, speed prediction model based on back-propagation neural network, MATLAB curve fitting, and integral. First, based on vehicle infrastructure cooperative systems, the initial judging model is instructed and vehicle road test is conducted. Then, a speed forecast model based on back-propagation neural network had been set up using test data obtained in the previous step. Next eco-driving strategy had been specified using curve fitting based on the forecast speed data and integral in MATLAB. Finally, a verification test had been done using VISSIM simulation tool. The conclusion of the test showed that using eco-driving strategy was conducive to decrease fuel consumption efficiently when driving at intersection. This article provided a specific case in application of vehicle infrastructure cooperative system to study on fuel consumption and emission in city traffic. |
| first_indexed | 2024-12-20T05:46:48Z |
| format | Article |
| id | doaj.art-b42b59c2e12d41d284f3ca2bab72e997 |
| institution | Directory Open Access Journal |
| issn | 1687-8140 |
| language | English |
| last_indexed | 2024-12-20T05:46:48Z |
| publishDate | 2019-04-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Advances in Mechanical Engineering |
| spelling | doaj.art-b42b59c2e12d41d284f3ca2bab72e9972022-12-21T19:51:17ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402019-04-011110.1177/1687814019843368Research on eco-driving strategy at intersection based on vehicle infrastructure cooperative systemZhifa Yang0Huanjing Zeng1Zhuo Yu2Xuexin Wei3Aimin Liu4Xianjun Fan5School of Transportation, Jilin University, Changchun, ChinaSchool of Transportation, Jilin University, Changchun, ChinaCollege of Basic Sciences, Changchun University of Technology, Changchun, ChinaCollege of Engineering, Jiangxi Agricultural University, Nanchang, ChinaSchool of Transportation, Jilin University, Changchun, ChinaSchool of Transportation, Jilin University, Changchun, ChinaAn eco-driving strategy is established in this article which includes four parts, namely, initial judging model, speed prediction model based on back-propagation neural network, MATLAB curve fitting, and integral. First, based on vehicle infrastructure cooperative systems, the initial judging model is instructed and vehicle road test is conducted. Then, a speed forecast model based on back-propagation neural network had been set up using test data obtained in the previous step. Next eco-driving strategy had been specified using curve fitting based on the forecast speed data and integral in MATLAB. Finally, a verification test had been done using VISSIM simulation tool. The conclusion of the test showed that using eco-driving strategy was conducive to decrease fuel consumption efficiently when driving at intersection. This article provided a specific case in application of vehicle infrastructure cooperative system to study on fuel consumption and emission in city traffic.https://doi.org/10.1177/1687814019843368 |
| spellingShingle | Zhifa Yang Huanjing Zeng Zhuo Yu Xuexin Wei Aimin Liu Xianjun Fan Research on eco-driving strategy at intersection based on vehicle infrastructure cooperative system Advances in Mechanical Engineering |
| title | Research on eco-driving strategy at intersection based on vehicle infrastructure cooperative system |
| title_full | Research on eco-driving strategy at intersection based on vehicle infrastructure cooperative system |
| title_fullStr | Research on eco-driving strategy at intersection based on vehicle infrastructure cooperative system |
| title_full_unstemmed | Research on eco-driving strategy at intersection based on vehicle infrastructure cooperative system |
| title_short | Research on eco-driving strategy at intersection based on vehicle infrastructure cooperative system |
| title_sort | research on eco driving strategy at intersection based on vehicle infrastructure cooperative system |
| url | https://doi.org/10.1177/1687814019843368 |
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