Determinants of Road Accident Frequency: The Role of Adas, Weather, Road Conditions, and Driver Factors

Authors

Swee Lee Sun Lai

Fakulti Pengurusan Teknologi dan Teknousahawanan, Universiti Teknikal Malaysia Melaka (Malaysia)

Aini Khalida Muslim

Fakulti Pengurusan Teknologi dan Teknousahawanan, Universiti Teknikal Malaysia Melaka (Malaysia)

Muhamad Izaidi Ishak

Faculty of Business and Communication, Universiti Malaysia Perlis (Malaysia)

Amir Aris

Fakulti Pengurusan Teknologi dan Teknousahawanan, Universiti Teknikal Malaysia Melaka (Malaysia)

Athirah Mohd Tan

Fakulti Pengurusan Teknologi dan Teknousahawanan, Universiti Teknikal Malaysia Melaka (Malaysia)

Naveed Ahmad

Faculty of Business Education, Social Science and Humanities, Department of Management Science, Isra University, Hyderabad (Pakistan)

Vimala Govinda Raj

GV Universal Resources (Malaysia)

Article Information

DOI: 10.47772/IJRISS.2026.100700752

Subject Category: Innovation

Volume/Issue: 10/7 | Page No: 11083-11098

Publication Timeline

Submitted: 2026-07-22

Accepted: 2026-07-30

Published: 2026-08-11

Abstract

Road accidents have long been a persistent safety issue in Malaysia, causing many deaths and injuries and imposing substantial annual costs. Despite measures to improve road safety, the number of accidents has remained high due to the interplay of several factors. Most studies have examined these factors individually; hence, very little is known about their collective effect on the number of road accidents. Consequently, this study proposed to explore the combined influence of Advanced Driver Assistance Systems (ADAS), road and weather conditions, and driver factors on the incidence of road accidents among ADAS users in Malaysia. The research was based on systems theory, which suggests that road accidents result from interactions among technology, environment, and human components in the transport system. In this regard, the technological component was represented by the Role of ADAS, the environment included road and weather conditions, and the human element consists of drivers. This study used a quantitative research methodology and specifically adopt a cross-sectional survey method. Data has been collected from Malaysian citizens who possess a valid driving licence and drive vehicles fitted with ADAS. Purposive sampling has been used to select study participants. Data analysis has been performed using SPSS, version 27. Descriptive statistics has been used to describe the characteristics of the participants, while regression analysis assessed the relationships between the dependent variable (road accidents) and ADAS, weather conditions, road conditions, and driver factors. This study examined the associations between the perceived role of ADAS, weather conditions, road conditions, driver factors, and road accident frequency.

Keywords

Road Accident Frequency, ADAS, Weather, Road Conditions, Driver Factors

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