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Journal of Zhejiang University SCIENCE C 1998 Vol.-1 No.-1 P.

http://doi.org/10.1631/FITEE.2000667


Efficient normalization for quantitative evaluation of driving behavior using a gated auto encoder


Author(s):  Xin HE, Zhe ZHANG, Li XU, Jiapei YU

Affiliation(s):  College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China

Corresponding email(s):   xinhe_ee@zju.edu.cn, xupower@zju.edu.cn

Key Words:  Driving behavior, Normalization, Gated auto-encoder, Quantitative evaluation


Xin HE, Zhe ZHANG, Li XU, Jiapei YU. Efficient normalization for quantitative evaluation of driving behavior using a gated auto encoder[J]. Frontiers of Information Technology & Electronic Engineering, 1998, -1(-1): .

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publisher="Zhejiang University Press & Springer",
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Abstract: 
driving behavior normalization is important for a fair evaluation of driving style. The longitudinal control of the vehicle is investigated in this work. The normalization task can be considered as the mapping of 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, we propose to directly normalize the driving behavior by using an Auto Encoder (AE) when following a standard speed profile. To ensure a positive correlation between vehicle speed and driving behavior, a gate constraint is imposed in between the encoder and decoder to form a gated auto-encoder (gAE). This approach is model-free and more efficient. The proposed approach is tested for consistency with the model-based approach and for its applications to quantitative evaluation of driving behavior as well as fuel consumption analysis. Simulations are conducted to verify the effectiveness of the proposed scheme.

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