Eco-Driving Level Evaluation Model for Electric Buses Entering and Leaving Stops
This paper evaluates the ecological level of driving behavior of electric buses when entering and leaving stops. A dataset of entering and leaving stops is first created based on the natural driving data of electric buses. The representative parameters of driving behaviors for entering and leaving s...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10966933/ |
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| author | Aihong Lyu Huiming Zhang Yubo Shen Yali Zhang |
| author_facet | Aihong Lyu Huiming Zhang Yubo Shen Yali Zhang |
| author_sort | Aihong Lyu |
| collection | DOAJ |
| description | This paper evaluates the ecological level of driving behavior of electric buses when entering and leaving stops. A dataset of entering and leaving stops is first created based on the natural driving data of electric buses. The representative parameters of driving behaviors for entering and leaving stops are then selected through correlation analysis and multiple stepwise linear regression analysis. Afterwards, the threshold value for defining the eco-driving behavior is determined by analyzing the energy consumption characteristics of entering and leaving stops. Finally, the Random Forest (RF), Gradient-Boosted Decision Trees (GBDT), and Light Gradient Boosting Machine (LightGBM) algorithms are applied to develop the evaluation models of eco-driving level for entering and leaving stops. The obtained results show that the accuracies of the LightGBM model for the evaluation of the eco-driving level in entering and leaving stops are 89% and 86.7%, respectively. These values are better than those of the RF and GBDT algorithms, and thus they demonstrate that the LightGBM model can more accurately evaluate the eco-driving in entering and leaving stops. |
| format | Article |
| id | doaj-art-eaf62c53f9f94a3fb8b33e170d12f8dc |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-eaf62c53f9f94a3fb8b33e170d12f8dc2025-08-20T03:53:28ZengIEEEIEEE Access2169-35362025-01-0113717927180510.1109/ACCESS.2025.356146910966933Eco-Driving Level Evaluation Model for Electric Buses Entering and Leaving StopsAihong Lyu0Huiming Zhang1https://orcid.org/0009-0000-6799-460XYubo Shen2https://orcid.org/0009-0007-7937-9330Yali Zhang3https://orcid.org/0000-0002-9331-0168Vocational and Technical College, Xianyang Normal University, Xianyang, ChinaSchool of Automobile, Chang’an University, Xi’an, ChinaAutomotive Transmission Engineering Research Institute, Shaanxi Fast Auto Drive Engineering Research Institute, Xi’an, ChinaSchool of Automobile, Chang’an University, Xi’an, ChinaThis paper evaluates the ecological level of driving behavior of electric buses when entering and leaving stops. A dataset of entering and leaving stops is first created based on the natural driving data of electric buses. The representative parameters of driving behaviors for entering and leaving stops are then selected through correlation analysis and multiple stepwise linear regression analysis. Afterwards, the threshold value for defining the eco-driving behavior is determined by analyzing the energy consumption characteristics of entering and leaving stops. Finally, the Random Forest (RF), Gradient-Boosted Decision Trees (GBDT), and Light Gradient Boosting Machine (LightGBM) algorithms are applied to develop the evaluation models of eco-driving level for entering and leaving stops. The obtained results show that the accuracies of the LightGBM model for the evaluation of the eco-driving level in entering and leaving stops are 89% and 86.7%, respectively. These values are better than those of the RF and GBDT algorithms, and thus they demonstrate that the LightGBM model can more accurately evaluate the eco-driving in entering and leaving stops.https://ieeexplore.ieee.org/document/10966933/Traffic engineeringeco-driving levelelectric busentering and leaving stopsevaluation model |
| spellingShingle | Aihong Lyu Huiming Zhang Yubo Shen Yali Zhang Eco-Driving Level Evaluation Model for Electric Buses Entering and Leaving Stops IEEE Access Traffic engineering eco-driving level electric bus entering and leaving stops evaluation model |
| title | Eco-Driving Level Evaluation Model for Electric Buses Entering and Leaving Stops |
| title_full | Eco-Driving Level Evaluation Model for Electric Buses Entering and Leaving Stops |
| title_fullStr | Eco-Driving Level Evaluation Model for Electric Buses Entering and Leaving Stops |
| title_full_unstemmed | Eco-Driving Level Evaluation Model for Electric Buses Entering and Leaving Stops |
| title_short | Eco-Driving Level Evaluation Model for Electric Buses Entering and Leaving Stops |
| title_sort | eco driving level evaluation model for electric buses entering and leaving stops |
| topic | Traffic engineering eco-driving level electric bus entering and leaving stops evaluation model |
| url | https://ieeexplore.ieee.org/document/10966933/ |
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