Visualization of Vehicle Driving Patterns Using the LSTM-Autoencoder Algorithm with Attention Applied

Su-cheon Lee; Tae-geol Woo; Dong-hoon Shin; Kang-moon Park

doi:10.22680/kasa2024.16.3.018

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2024 Vol.16, Issue 3 Preview Page Next Page

Visualization of Vehicle Driving Patterns Using the LSTM-Autoencoder Algorithm with Attention Applied Attention이 적용된 LSTM-Autoencoder 알고리즘을 사용한 차량 주행 패턴 시각화

30 September 2024. pp. 18-24

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Abstract

Recent advancements in vehicle driving data analysis have attracted significant attention as a key research area aimed at optimizing driving behavior and enhancing vehicle performance. This study aims to collect operational data from drivers, including steering angle, longitudinal acceleration, brake usage, and wheel speed, and to cluster driving segments based on their characteristics using deep learning techniques. To achieve this, we employed a methodology that integrates the LSTM-Autoencoder model, which captures essential features of time-series data through compression and reconstruction, with an Attention mechanism. The driving segments were clustered and visually represented with distinct colors for clarity. Experimental results from the proposed approach demonstrated an over 96% accuracy in aligning input and output values, facilitating the clustering of driving segments based on their distinctive features. These findings provide valuable insights for improving driver behavior and optimizing vehicle assistance systems, potentially contributing to significant advancements in this field of research.

Keywords

Attention mechanism(어텐션 메커니즘)

Autoencoder(자동부호기)

LSTM(장단기 메모리)

Deep learning(딥러닝)

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Information

Publisher :Korean Auto-vehicle Safety Association
Publisher(Ko) :한국자동차안전학회
Journal Title :Journal of Auto-vehicle Safety Association
Journal Title(Ko) :자동차안전학회지
Volume : 16
No :3
Pages :18-24
Received Date : 2024-01-11
Revised Date : 2024-04-15
Accepted Date : 2024-08-31
DOI :https://doi.org/10.22680/kasa2024.16.3.018

Journal of Auto-vehicle Safety Association ISSN:2005-9396(Print) 자동차안전학회지

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