The Road Safety Prediction Model Based on the Fuzzy Linear Regression

2009 ◽  
Author(s):  
Chen Bin ◽  
Luo Yong
Keyword(s):  
Linear Regression ◽  
Prediction Model ◽  
Road Safety ◽  
Fuzzy Linear Regression ◽  
The Road ◽  
Model Based

Regional Short-Term Earthquake Prediction Model Based on BP Neural Network

2012 ◽  
Vol 166-169 ◽  
pp. 2309-2314
Author(s):  
Wu Sheng Hu ◽  
Hao Wang ◽  
Hong Lin Nie
Keyword(s):  
Neural Network ◽  
Linear Regression ◽  
Prediction Model ◽  
Earthquake Prediction ◽  
Linear Regression Analysis ◽  
Earthquake Magnitude ◽  
Quantitative Prediction ◽  
Earthquake Parameters ◽  
Advantages And Disadvantages ◽  
Model Based

A method which gives the quantitative prediction for earthquake magnitude is proposed in this paper. By this method, after calculating the earthquake parameters and the astronomical time-varying parameters, an earthquake prediction model can be established to gives the quantitative prediction for earthquake magnitude in the future prediction period. In this research, the research object was the experimental areas, the prediction period was 6 months, and Linear Regression analysis and conventional BP (Back Propagation) Neural Network were used respectively in prediction. Through backtracking test, the RMSEs(root mean square error) of earthquake magnitude prediction are ±0.78 ML and ±0.61 ML. Then after summarizing the advantages and disadvantages of the two methods, an integrated model based on linear regression and neural network was proposed. Through backtracking test, the RMSE of earthquake magnitude prediction reaches ± 0.41 ML, results improving significantly.

scholarly journals FAKTOR YANG MEMPENGARUHI KESELAMATAN BERKENDARA MOBIL DIRUAS JALAN TOL SEMARANG-BAWEN PROPINSI JAWA TENGAH

2020 ◽  
Author(s):  
Andar Sri Sumantri ◽  
Irfan Misbahudin
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Road Safety ◽  
Driving Behavior ◽  
Regression Equation ◽  
Driving Safety ◽  
Linear Regression Equation ◽  
The Road ◽  
Multiple Linear Regression Equation ◽  
Road Condition

<p>Driving safety is influenced by various such as road conditions vehicle condition, driving behavior, knowledge of driving. All four have an important role in influencing the safety of driving. The purpose of this study was to determine whether there is influence of road conditions, vehicle conditions,driving behavior, knowledge of driving on roads Toll-Bawen Semarang Central Java Province either partially or simultaneously.<br />Results of statistical analysis tools SPSS (Statistical Product And Service Solutions) Ver. 22.0 multiple linear regression equation Y= 2,568 +0,268 X1 + 0,266 X2 + 0,216 X3 +0,148 X4 ( The results of multiple linear regression equation showed that there were significant positive influence on Keselamatan drive the road condition (t = 3,229&gt; t tabel = 1,9853) the condition of vehicle on road safety (t =2,624&gt; t tabel = 1,9853 the driving behavior of the safety driving (t = 3,037 &gt; t tabel = 1,9853, drive to the road safety knowledge ( t = 2,139 &gt; table = 1,9853) individually and simultaneously influence, vehicle conditions perilaku driving, and driving knowledge together –have the same effect as 26,529 &gt; F Tabel 2,46. The fourth influence is very strong research variable with the coefficient of determination (R2) were obtained for 50,8 of the safety of driving and 49,2 % are influenced by variable that are not detectedin this study</p><p><strong>Keywords : Road condition, Vehicle condition, Driving behavior, Knowledge of driving, and Driving safety.</strong></p><p> </p><p>Keselamatan berkendara dipengaruhi oleh berbagai factor diantaranya adalah kondisi jalan, kondisi kendaraan, perilaku pengendara, pengetahuan berkendara. Tujuan dari penelitian ini adalah untuk mengetahui ada tidaknya pengaruh antara kondisi jalan, kondisi kendaraan, perilaku pengendara, pengetahuan berkendara diruas jalan Tol Semarang Bawen Propinsi Jawa Tengah. Dalam penelitian ini yang menjadi populasi adalah pengguna mobil golongan I dijalan tol semarang bawen provinsi jawa tengah berjumlah 100 orang. Variabel dalam penelitian ini terdiri dari : Variabel bebas yaitu kondisi jalan x1, kondisi kendaraan perilaku berkendara x3 dan pengetahuan berkendar serta variable terikat yaitu keselamatan berkendara. Semua hipotesis yang diajukan dalam penelitian ini diterima, sehingga model tersebut mengambarkan hubungan yang kausalitas yang terjalin antar variable. Hasil analisi dengan alat bantu statistic program spss ver.22 . Dari hasil persamaan regresi linier berganda menunjukkan bahwa ada pengaruh yang positif dan signifikan antar masing-masing variable. Pengaruh keempat variable penelitian sangat kuat dengan nilai koefisien determinasi yang diperoleh sebesar 50,8% terhadap keselamatan berkendara dan 49,2 % dipengaruhi oleh variable yang tidak terdeteksi pada penelitian ini.</p><p><strong>Kata kunci : Kondisi Jalan, Kondisi Kendaraan, Perilaku Berkendara, Pengetahuan berkendara dan Keselamatan berkendara.</strong></p>

The Advantage of Fuzzy Linear Regression Model and the Application of Enterprise Manufacturing’ Estimation

2014 ◽  
Vol 1065-1069 ◽  
pp. 2485-2490
Author(s):  
Hao Kang ◽  
Ming Qian Wang ◽  
Ting Ai
Keyword(s):  
Linear Regression ◽  
Regression Model ◽  
Linear Regression Model ◽  
Fuzzy Linear Regression ◽  
Estimation Process ◽  
Model Based ◽  
Application Analysis ◽  
Fuzzy Linear Regression Model

s: this text puts forward the estimation process of typical linear regression model first, then, puts forward the establishment of fuzzy linear regression model based on it. At last, in enterprise manufacturing’ estimation, passing contrast application analysis to explained the advantage of fuzzy linear regression model.

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