UPM Institutional Repository

Identification of hazardous road sections: crash data versus composite index method


Mohd Razelan, Intan Suhana and Hamid, Hussain and Law, Teik Hua and Mohd Sadullah, Ahmad Farhan (2014) Identification of hazardous road sections: crash data versus composite index method. International Journal of Engineering and Technology, 6 (6). pp. 481-486. ISSN 1793-8236; ESSN: 1793-8244


In current road safety practices, the identification of hazardous road sections are normally based on crash data. However, the information provided by crash data may not be adequate to explain the causal factors that lead to a crash. Therefore, a different kind of road safety indicator that can extensively describe the actual road environment problems of a road section is considered essential. This paper considered fourteen road environment indicators based on their abilities to portray current road environment conditions and their potential towards road crash incidence. These indicators were collected using naturalistic driving technique within the 80-km road length connecting Kuantan and Maran town in the state of Pahang, Malaysia in which the composite road environment risk index was finally developed. This composite road environment risk index is found to be a useful proactive method to identify the potential problematic road sections that require urgent road improvement works as compared to the reactive crash data analysis method.

Download File

PDF (Abstract)
Identification of hazardous road sections crash data versus composite index method.pdf

Download (35kB) | Preview

Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.7763/IJET.2014.V6.745
Publisher: International Association of Computer Science and Information Technology
Keywords: Hazardous road sections; Crash data; Road environment; Composite index; Proactive method
Depositing User: Nabilah Mustapa
Date Deposited: 29 Dec 2015 09:51
Last Modified: 29 Dec 2015 09:51
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.7763/IJET.2014.V6.745
URI: http://psasir.upm.edu.my/id/eprint/37919
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item