From b0b306bfea760e8f36f8fd2b6e3236379d80b092 Mon Sep 17 00:00:00 2001
From: webbrain-one <295484252+webbrain-one@users.noreply.github.com>
Date: Fri, 14 Aug 2026 13:13:18 +0300
Subject: [PATCH] docs: improve README

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 README.md | 20 ++++++++++++--------
 1 file changed, 12 insertions(+), 8 deletions(-)

diff --git a/README.md b/README.md
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@@ -1,3 +1,6 @@
+ *(Proceeds)*
+</think>
+
 ---
 title: Driving style classification and predication
 mathjax: true
@@ -12,6 +15,7 @@ mathjax: true
 
 ### Data Preprocess
 
+Run `model/testFeatureMatrix2.py` to generate the statistical feature matrix, and `model/testRNN2.py` to train and evaluate the RNN model.
 
 ### Methods
 #### 1. CNN
@@ -43,24 +47,24 @@ Seq2Seq, 是普通 RNN 的增强版本, 由一个编码器 Encoder 和一个解
 
 <div id="refer-anchor-1"></div>
 
-[1] [Z. Constantinescu, C. Marinoiu, and M. Vladoiu, “Driving style analysis using data mining techniques,” International Journal of Computers Communications & Control, vol. 5, no. 5, pp. 654–663, 2010](https://ieeexplore.ieee.org/abstract/document/8947318)
+[1] [Z. Constantinescu, C. Marinoiu, and M. Vladoiu, “Driving style analysis using data mining techniques,” International Journal of Computers Communications & Control, vol. 5, no. 5, pp. 654–663, 2010](https://ieeexplore.ieee.org/abstract/document/8947318)
 
 <div id="refer-anchor-2"></div>
 
-[2] [C. Miyajima, Y. Nishiwaki, K. Ozawa, T. Wakita, K. Itou, K. Takeda, and F. Itakura, “Driver modeling based on driving behavior and its evaluation in driver identification,” Proceedings of the IEEE, vol. 95, no. 2, pp. 427–437, 2007](https://ieeexplore.ieee.org/document/8968478/)
+[2] [C. Miyajima, Y. Nishiwaki, K. Ozawa, T. Wakita, K. Itou, K. Takeda, and F. Itakura, “Driver modeling based on driving behavior and its evaluation in driver identification,” Proceedings of the IEEE, vol. 95, no. 2, pp. 427–437, 2007](https://ieeexplore.ieee.org/document/8968478/)
 
 <div id="refer-anchor-3"></div>
 
-[3] [E. Yurtsever, C. Miyajima, S. Selpi, and K. Takeda, “Driving signature extraction,” in FAST-zero’15: 3rd International Symposium on Future Active Safety Technology Toward zero traffic accidents, 2015, 2015.](https://ieeexplore.ieee.org/document/8317860)
+[3] [E. Yurtsever, C. Miyajima, S. Selpi, and K. Takeda, “Driving signature extraction,” in FAST-zero’15: 3rd International Symposium on Future Active Safety Technology Toward zero traffic accidents, 2015, 2015.](https://ieeexplore.ieee.org/document/8317860)
 
 <div id="refer-anchor-4"></div>
 
-[4] [K. Sama, Y. Morales, N. Akai, H. Liu, E. Takeuchi, and K. Takeda Driving feature extraction and behavior classification using an autoencoder to reproduce the velocity styles of experts,” in 2018 21st International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2018, pp. 1337–1343.](https://ieeexplore.ieee.org/document/8317860)
+[4] [K. Sama, Y. Morales, N. Akai, H. Liu, E. Takeuchi, and K. Takeda Driving feature extraction and behavior classification using an autoencoder to reproduce the velocity styles of experts,” in 2018 21st International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2018, pp. 1337–1343.](https://ieeexplore.ieee.org/document/8317860)
 
-[5] [Zheng J, Suzuki K, Fujita M. Predicting driver’s lanechanging decisions using a neural network model. Simulation Modelling Practice and Theory, 2014, 42: 73–83.](https://ieeexplore.ieee.org/document/8317860)
+[5] [Zheng J, Suzuki K, Fujita M. Predicting driver’s lanechanging decisions using a neural network model. Simulation Modelling Practice and Theory, 2014, 42: 73–83.](https://ieeexplore.ieee.org/document/8317860)
 
-[6] [Peng JS, Guo YS, Fu R, et al. Multi-parameter prediction of drivers’ lane-changing behaviour with neural network model.Applied Ergonomics, 2015, 50: 207–217.](https://ieeexplore.ieee.org/document/8317860)
+[6] [Peng JS, Guo YS, Fu R, et al. Multi-parameter prediction of drivers’ lane-changing behaviour with neural network model.Applied Ergonomics, 2015, 50: 207–217.](https://ieeexplore.ieee.org/document/8317860)
 
-[7] [Dou YL, Yan FJ, Feng DW. Lane changing prediction at highway lane drops using support vector machine and artificial neural network classifiers. Proceedings of 2016 IEEE International Conference on Advanced Intelligent Mechatronics. Banff, PB, Canada. 2016. 901–906.](https://ieeexplore.ieee.org/document/8317860)
+[7] [Dou YL, Yan FJ, Feng DW. Lane changing prediction at highway lane drops using support vector machine and artificial neural network classifiers. Proceedings of 2016 IEEE International Conference on Advanced Intelligent Mechatronics. Banff, PB, Canada. 2016. 901–906.](https://ieeexplore.ieee.org/document/8317860)
 
-[8] [Wang XP, Murphey YL, Kochhar DS. MTS-DeepNet for lane change prediction. Proceedings of 2016 International Joint Conference on Neural Networks. Vancouver, BC, Canada. 2016. 4571–4578.](https://ieeexplore.ieee.org/document/8317860)
+[8] [Wang XP, Murphey YL, Kochhar DS. MTS-DeepNet for lane change prediction. Proceedings of 2016 International Joint Conference on Neural Networks. Vancouver, BC, Canada. 2016. 4571–4578.](https://ieeexplore.ieee.org/document/8317860)