基于门控自编码器的驾驶行为量化评价标准化策略

何欣; 张哲; 许力; 俞佳培

doi:10.1631/FITEE.2000667

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基于门控自编码器的驾驶行为量化评价标准化策略

常规文章 | Updated：2022-03-28

- 基于门控自编码器的驾驶行为量化评价标准化策略
  Enhanced Publication
- Efficient normalization for quantitative evaluation of the driving behavior using a gated auto-encoder
- 信息与电子工程前沿（英文） 2022年23卷第3期页码：452-462
- Affiliations：
  
  College of Electrical Engineering, Zhejiang University, Hangzhou310027, China
- Author bio：
  
  E-mail: xinhe_ee@zju.edu.cn;
  ‡Corresponding author
- Funds：
  
  Ford Motor Company(URP 2018-J077.4)
- DOI：10.1631/FITEE.2000667
  中图分类号： TP391.4
- 收稿：2020-11-28，
  
  录用：2021-03-31，
  
  网络出版：2022-03-07，
  
  纸质出版：2022-03-0
- Accepted：
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何欣, 张哲, 许力, 等. 基于门控自编码器的驾驶行为量化评价标准化策略[J]. 信息与电子工程前沿（英文）, 2022,23(3):452-462.

Xin HE, Zhe ZHANG, Li XU, et al. Efficient normalization for quantitative evaluation of the driving behavior using a gated auto-encoder[J]. Frontiers of Information Technology & Electronic Engineering, 2022, 23(3): 452-462.
何欣, 张哲, 许力, 等. 基于门控自编码器的驾驶行为量化评价标准化策略[J]. 信息与电子工程前沿（英文）, 2022,23(3):452-462. DOI： 10.1631/FITEE.2000667.

Xin HE, Zhe ZHANG, Li XU, et al. Efficient normalization for quantitative evaluation of the driving behavior using a gated auto-encoder[J]. Frontiers of Information Technology & Electronic Engineering, 2022, 23(3): 452-462. DOI： 10.1631/FITEE.2000667.

摘要

在评估驾驶风格时，对驾驶行为的标准化至关重要。本文对车辆的纵向控制进行了研究。通过归一化任务将不同环境中的驾驶行为映射到统一条件下。前人工作采用必要的驾驶员模型进行驾驶循环测试；与这种基于模型的方法不同，我们提出的方法在遵循标准速度曲线时使用自动编码器直接对驾驶行为进行标准化。为确保车速和驾驶行为之间满足正相关约束条件，在编码器和解码器之间设计了门控函数。所提方法无需模型且高效。测试结果验证了该方法与已有方法的一致性。同时，测试了其在驾驶行为和燃料消耗分析的定量评估中的应用。仿真结果验证了所提方法的有效性。

Abstract

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.

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references

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