An expert system using RBF neural network for estimating vehicle speed based on length of skid mark

Wen-Kung Tseng, Shih Syong Liao

研究成果: Conference contribution

1 引文 (Scopus)

摘要

This paper presents an expert system to estimate the relationship between the vehicle pre-braking speed and the length of the skid mark. Since the length of the skid mark varies with many factors, there is no a single formula or equation which can represent the relationship between the vehicle pre-braking speed and the length of the skid mark. Therefore in this paper an expert system is built to estimate the relationship between the vehicle pre-braking speed and the length of the skid mark. The radial basis function (RBF) neural network is used for the expert system due to its shorter training time and higher accuracy. There are many factors affecting the skid mark. In this paper we choose 7 factors, i.e. brand of vehicle, vehicle displacement, year of manufacture, vehicle weight, vehicles with and without ABS, roadway surface, and vehicle speed for the training in the RBF neural network. The total number of the training data for the RBF neural network is 2619. The results showed that high accuracy is obtained for estimating the relationship between the vehicle pre-braking speed and the length of the skid mark. Thus the expert system proposed in this paper is demonstrated to be a suitable system for estimating the relationship between the vehicle pre-braking speed and the length of the skid mark.

原文English
主出版物標題Proceedings - 2011 7th International Conference on Natural Computation, ICNC 2011
頁面631-635
頁數5
DOIs
出版狀態Published - 2011 十月 6
事件2011 7th International Conference on Natural Computation, ICNC 2011 - Shanghai, China
持續時間: 2011 七月 262011 七月 28

出版系列

名字Proceedings - 2011 7th International Conference on Natural Computation, ICNC 2011
2

Other

Other2011 7th International Conference on Natural Computation, ICNC 2011
國家China
城市Shanghai
期間11-07-2611-07-28

指紋

Expert Systems
Expert systems
Neural networks
Braking
Weights and Measures

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Neuroscience(all)

引用此文

Tseng, W-K., & Liao, S. S. (2011). An expert system using RBF neural network for estimating vehicle speed based on length of skid mark. 於 Proceedings - 2011 7th International Conference on Natural Computation, ICNC 2011 (頁 631-635). [6022211] (Proceedings - 2011 7th International Conference on Natural Computation, ICNC 2011; 卷 2). https://doi.org/10.1109/ICNC.2011.6022211
Tseng, Wen-Kung ; Liao, Shih Syong. / An expert system using RBF neural network for estimating vehicle speed based on length of skid mark. Proceedings - 2011 7th International Conference on Natural Computation, ICNC 2011. 2011. 頁 631-635 (Proceedings - 2011 7th International Conference on Natural Computation, ICNC 2011).
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abstract = "This paper presents an expert system to estimate the relationship between the vehicle pre-braking speed and the length of the skid mark. Since the length of the skid mark varies with many factors, there is no a single formula or equation which can represent the relationship between the vehicle pre-braking speed and the length of the skid mark. Therefore in this paper an expert system is built to estimate the relationship between the vehicle pre-braking speed and the length of the skid mark. The radial basis function (RBF) neural network is used for the expert system due to its shorter training time and higher accuracy. There are many factors affecting the skid mark. In this paper we choose 7 factors, i.e. brand of vehicle, vehicle displacement, year of manufacture, vehicle weight, vehicles with and without ABS, roadway surface, and vehicle speed for the training in the RBF neural network. The total number of the training data for the RBF neural network is 2619. The results showed that high accuracy is obtained for estimating the relationship between the vehicle pre-braking speed and the length of the skid mark. Thus the expert system proposed in this paper is demonstrated to be a suitable system for estimating the relationship between the vehicle pre-braking speed and the length of the skid mark.",
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Tseng, W-K & Liao, SS 2011, An expert system using RBF neural network for estimating vehicle speed based on length of skid mark. 於 Proceedings - 2011 7th International Conference on Natural Computation, ICNC 2011., 6022211, Proceedings - 2011 7th International Conference on Natural Computation, ICNC 2011, 卷 2, 頁 631-635, 2011 7th International Conference on Natural Computation, ICNC 2011, Shanghai, China, 11-07-26. https://doi.org/10.1109/ICNC.2011.6022211

An expert system using RBF neural network for estimating vehicle speed based on length of skid mark. / Tseng, Wen-Kung; Liao, Shih Syong.

Proceedings - 2011 7th International Conference on Natural Computation, ICNC 2011. 2011. p. 631-635 6022211 (Proceedings - 2011 7th International Conference on Natural Computation, ICNC 2011; 卷 2).

研究成果: Conference contribution

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Tseng W-K, Liao SS. An expert system using RBF neural network for estimating vehicle speed based on length of skid mark. 於 Proceedings - 2011 7th International Conference on Natural Computation, ICNC 2011. 2011. p. 631-635. 6022211. (Proceedings - 2011 7th International Conference on Natural Computation, ICNC 2011). https://doi.org/10.1109/ICNC.2011.6022211