Search

Your search keyword '"Ahmad, Mohd Shahrir Amin"' showing total 4 results
Start Over Author "Ahmad, Mohd Shahrir Amin"
4 results on '"Ahmad, Mohd Shahrir Amin"'

1. Accident Severity Analysis On the North-South Expressway Using Binomial Logistic Regression

Author

Baskara, Sudesh Nair, Yaacob, Haryati, Hassan, Sitti Asmah, Hainin, Mohd Rosli, Ahmad, Mohd Shahrir Amin, Baskara, Sudesh Nair, Yaacob, Haryati, Hassan, Sitti Asmah, Hainin, Mohd Rosli, and Ahmad, Mohd Shahrir Amin

Abstract

Accidents on Malaysian expressways must be monitored on a regular basis since severe accidents occur on expressways due to higher posted speeds than on other roadways. This study aims to analyse accident severities based on pavement conditions using binomial logistic regression. Data on accident severities and pavement conditions were gathered from the Malaysian Highway Authority (MHA) and the The Royal Malaysian Police (PDRM) respectively. Three binomial logistic regression models were constructed based on four accident severity categories of death, serious injury, minor injury and damage. The accident severity was grouped into different classifications in which Model 1, Model 2 and Model 3 were developed. To assess the model's predictive capabilities, predicted accident severity levels were distinguished with actual accident severity levels. Based on the results, Model 1 and Model 2 except Model 3 have significant pavement conditions and are viable for accident severity predictions whereby both models exhibited high prediction accuracy, has good fit and good in differentiating between two classifications. The model's classifier is better at classifying accident severity classes with more samples than categorizing accident severity classes with fewer data. The odds ratio of both Model 1 and Model 2 revealed that International Roughness Index (IRI) has greater influence in predicting accident severity compared to rut depth (RD) and mean texture depth (MTD) particularly on predicting death. This study suggested that a comparable study be conducted on other road classifications.

Published
2023

2. Road traffic accidents on Senai-Desaru expressway

Author

Mashros Nordiana, Hassan SittiAsmah, Haryati Yaacob, Ahmad Mohd Shahrir Amin, Samat Ismail, Che Puan Othman, Abdul Hassan Norhidayah, Mohd Yunus Nor Zurairahetty, and Haron Zaiton

Subjects
Engineering (General). Civil engineering (General), TA1-2040
Abstract

Understanding and prioritising crash contributing factors is important for improving traffic safety on the expressway. This paper aims to identify the possible contributory factors that were based on findings obtained from crash data at Senai-Desaru Expressway (SDE), which is the main connector between the western and eastern parts of Johor, Malaysia. Using reported accident data, the mishaps that had occurred along the 77.2 km road were used to identify crash patterns and their possible related segment conditions. The Average Crash Frequency and Equivalent Property Damage Only Average Crash Frequency Methods had been used to identify and rank accident-prone road segments as well as to propose for appropriate simple and inexpensive countermeasures. The results show that the dominant crash type along the road stretches of SDE had consisted of run-off-road collision and property damage only crashes. All types of accidents were more likely to occur during daytime. Out of the 154 segments, the 4 most accident-prone road segments had been determined and analysed. The results obtained from the analyses suggest that accident types are necessary for identifying the possible causes of accidents and the appropriate strategies for countermeasures. Therefore, this accident analysis could be helpful to relevant authorities in reducing the number of road accidents and the level of accident severity along the SDE.

Published
2018
Full Text
View/download PDF

3. Road traffic accidents on Senai-Desaru expressway.

Author

Haryati, Yaacob, Nor Zurairahetty, Mohd Yunus, Izni Syahrizal, Ibrahim, Mashros, Nordiana, Hassan, SittiAsmah, Ahmad, Mohd Shahrir Amin, Samat, Ismail, Che Puan, Othman, Abdul Hassan, Norhidayah, Mohd Yunus, Nor Zurairahetty, and Haron, Zaiton

Published
2018

4. THE IMPACT OF PAVEMENT CONDITIONS ON ACCIDENT SEVERITIES.

Author

Baskara, Sudesh Nair, Yaacob, Haryati, Hassan, Sitti Asmah, Hainin, Mohd Rosli, Ahmad, Mohd Shahrir Amin, Jaya, Ramadhansyah Putra, and Al-Saffar, Zaid Hazim

Subjects
*PAVEMENTS, *INFORMATION superhighway, *LOGISTIC regression analysis, *ROAD safety measures, *INDEPENDENT variables
Abstract

This paper focuses on the aspect of road safety based on the impact of pavement conditions on accident severities. Four models of binomial and multinomial logistic regression were produced using the R software and utilizing two years of accident and pavement conditions data on Malaysian highways. The surface characteristics analyzed included the International Roughness Index (IRI), rut depth (RD) and mean texture depth (MTD). The accident severity assessed ranged from damage to death. Results indicated that IRI has the highest tendency to affect accident severity for all models. At the thresholds identified for all independent variables, the chances of death had increased significantly. As such, efforts must be driven to ensure the thresholds are not reached in the maintenance of pavements for better road safety. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results