Manuscript Number : IJSRSET1734115
Study of Road Accident Prediction Model at Accident Blackspot Area: A Case Study at Selangor
Authors(4) :-Haikal Aiman Hartika, Mohd Zakwan Ramli, Muhamad Zaihafiz Zainal Abidin, Mohd Hafiz Zawawi
This study is focusing in the accident prediction model by using Multiple Linear Regression and Artificial Neural Network, as well as investigating the effectiveness of both predictive analyses. To meet these objectives, the historical data of accident was analysed with the on-site data for the purpose of relating them with the accident occurrence. Also, the accident historical data and the on-site data were analysed using two predictive models to predict the number of accident in current year. After the analysis, it is revealed that the outcomes obtained from both models were different with greater predicted value from the regression analysis due to greater errors being produced. Less predicted value, greater correlation and less error have been shown by the Artificial Neural Network analysis, concluding that it is more suitable for accident prediction.
Haikal Aiman Hartika
ANN, MLR, prediction model, and road accident.
Publication Details
Published in :
Volume 3 | Issue 5 | July-August 2017 Article Preview
Civil Engineering Department, College of Engineering, Universiti Tenaga Nasional, Kajang, Selangor, Malaysia
Mohd Zakwan Ramli
Civil Engineering Department, College of Engineering, Universiti Tenaga Nasional, Kajang, Selangor, Malaysia
Muhamad Zaihafiz Zainal Abidin
Faculty of Architecture and Built Environment, Infrastructure University Of Kuala Lumpur, Kajang, Selangor, Malaysia
Mohd Hafiz Zawawi
Civil Engineering Department, College of Engineering, Universiti Tenaga Nasional, Kajang, Selangor, Malaysia
African Research Review, 4(2), 30-49. Retrieved from http://www.ajol.info/index.php/afrrev/article/view/58286
1(4), 305-317.
African Research Review, 4(2), 30-49. Retrieved from http://www.ajol.info/index.php/afrrev/article/view/58286
Journal of Sustainable Mining, 14(2), 101 -107. http://doi.org/10.1016/j.jsm.2015.08.014
Date of Publication :
2017-08-31
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) :
466-470
Manuscript Number :
IJSRSET1734115
Publisher : Technoscience Academy
Journal URL :
https://ijsrset.com/IJSRSET1734115