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

Wen-Kung Tseng, Shih Syong Liao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - 2011 7th International Conference on Natural Computation, ICNC 2011
Pages631-635
Number of pages5
DOIs
Publication statusPublished - 2011 Oct 6
Event2011 7th International Conference on Natural Computation, ICNC 2011 - Shanghai, China
Duration: 2011 Jul 262011 Jul 28

Publication series

NameProceedings - 2011 7th International Conference on Natural Computation, ICNC 2011
Volume2

Other

Other2011 7th International Conference on Natural Computation, ICNC 2011
CountryChina
CityShanghai
Period11-07-2611-07-28

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Neuroscience(all)

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    Tseng, W-K., & Liao, S. S. (2011). An expert system using RBF neural network for estimating vehicle speed based on length of skid mark. In Proceedings - 2011 7th International Conference on Natural Computation, ICNC 2011 (pp. 631-635). [6022211] (Proceedings - 2011 7th International Conference on Natural Computation, ICNC 2011; Vol. 2). https://doi.org/10.1109/ICNC.2011.6022211