Efficient normalization for quantitative evaluation of the driving behavior using a gated auto-encoder
Driving behavior normalization is important for a fair evaluation of the driving style. The longitudinal control of a vehicle is investigated in this study. The normalization task can be considered as mapping of the driving behavior in a different environment to the uniform condition. Unlike the mod...
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| Veröffentlicht in: | Frontiers of information technology & electronic engineering 2022-03, Vol.23 (3), p.452-462 |
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| creator | He, Xin Zhang, Zhe Xu, Li Yu, Jiapei |
| description | Driving behavior normalization is important for a fair evaluation of the driving style. The longitudinal control of a vehicle is investigated in this study. The normalization task can be considered as mapping of the driving behavior in a different environment to the uniform condition. Unlike the model-based approach as in previous work, where a necessary driver model is employed to conduct the driving cycle test, the approach we propose directly normalizes the driving behavior using an auto-encoder (AE) when following a standard speed profile. To ensure a positive correlation between the vehicle speed and driving behavior, a gate constraint is imposed in between the encoder and decoder to form a gated AE (gAE). This approach is model-free and efficient. The proposed approach is tested for consistency with the model-based approach and for its applications to quantitative evaluation of the driving behavior and fuel consumption analysis. Simulations are conducted to verify the effectiveness of the proposed scheme. |
| doi_str_mv | 10.1631/FITEE.2000667 |
| format | Article |
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The longitudinal control of a vehicle is investigated in this study. The normalization task can be considered as mapping of the driving behavior in a different environment to the uniform condition. Unlike the model-based approach as in previous work, where a necessary driver model is employed to conduct the driving cycle test, the approach we propose directly normalizes the driving behavior using an auto-encoder (AE) when following a standard speed profile. To ensure a positive correlation between the vehicle speed and driving behavior, a gate constraint is imposed in between the encoder and decoder to form a gated AE (gAE). This approach is model-free and efficient. The proposed approach is tested for consistency with the model-based approach and for its applications to quantitative evaluation of the driving behavior and fuel consumption analysis. 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| source | Springer Nature - Complete Springer Journals; ProQuest Central UK/Ireland; Alma/SFX Local Collection; ProQuest Central |
| subjects | Coders Communications Engineering Computer Hardware Computer Science Computer Systems Organization and Communication Networks Electrical Engineering Electronics and Microelectronics Energy consumption Instrumentation Longitudinal control Networks Quantitative analysis Research Article Traffic speed |
| title | Efficient normalization for quantitative evaluation of the driving behavior using a gated auto-encoder |
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