Article Per Year (5 Year)
p-Index From 2021 - 2026
0.659
P-Index
This Author published in this journals
All Journal Automotive Experiences
Zulhaidi Mohd Jawi
Malaysian Institute of Road Safety Research (MIROS), Malaysia
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Electrical & Electronics Engineering Energy Materials Science & Nanotechnology Mechanical Engineering

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Non-Driving Related Activities Inside an Automated Vehicle Among Malaysia Passengers Mohammad Izhar Sulaiman; Nidzamuddin Md Yusof; Juffrizal Karjanto; Muhammad Zahir Hassan; Syabillah Sulaiman; Zulhaidi Mohd Jawi; Khairil Anwar Abu Kassim
Automotive Experiences Vol. 6 No. 3 (2023)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ae.9152

Abstract

The advancement of automotive technology has led to the development of automated vehicles. The trend of passengers performing non-driving-related activities during travel was expected to continue in the future of automated vehicles. It is essential to discover the type of activities that the users prefer to improve the interior design of an automated vehicle. Past studies show that every country has different preferred non-driving related activities. The main objective of this study is to collect data on preferred non-driving related activities, specifically by Malaysians, using online questionnaires. 293 respondents answered the questionnaires in six (6) months. As a result, the top three (3) non-driving related activities in Malaysia are listening to music, calling or texting, and interacting with others. In addition, the most preferred seating position as a passenger, the most suitable travel duration to perform non-driving related activities uninterrupted, and the preferred seating configuration of the automated vehicle were also discovered. The outcome of this study will add knowledge for designing better future automated vehicles suitable for Malaysian users.
Investigation of the Vehicle Driving Trajectory During Turning at Intersectional Roads Using Deep Learning Model Ericsson Yong; Mohamad Heerwan Bin Peeie; Abdullah Bin Zulkifli; Muhammad Izhar Ishak; Mohd Zamri Bin Ibrahim; Muhammad Aizzat Bin Zakaria; Intan Suhana Binti Mohd Razelan; Ahmad Fakhri Bin Ab. Nasir; Zulhaidi Mohd Jawi
Automotive Experiences Vol. 7 No. 1 (2024)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ae.10649

Abstract

Two-thirds of vehicle accidents in Malaysia occurred at the straight type of roads, followed by intersection-type roads. Despite the deployment of traffic lights on the road, accidents still occur which are caused by illegal maneuvers, speeding or misjudgment of other’s actions. Hence, motivated by the lack of previous research regarding causes of accidents on intersectional roads, this study aims to observe the pattern of the vehicles’ speed and turning angle during the right turn after the traffic stop at the intersection road. To obtain these parameters, video samples of vehicles at two types of intersections were obtained and analyzed via YOLOV7 and DeepSORT. The two road intersections researched are four-legged intersection and three-legged intersection. 153 and 35 vehicle samples were collected from these types of road intersections, respectively. It was observed that 78 and 75 vehicles exit towards the nearest and furthest lanes at four-leg controlled crossings on divided roads. While, at a single-lane to a dual carriageway road intersection, 26 and 9 vehicles exit towards the nearest and furthest lanes, respectively. From the research, 16.52 - 17.53 km/h and 67.57°-73.33° are the most optimal turning speeds and angles respectively for vehicles at four-leg controlled crossings. Whereas 14.48 - 15.51 km/h and 144.77° - 154.403° are the most optimal turning speeds and angles respectively for vehicles at a single-lane to a dual carriageway road intersection.
Modulating Factors in the Development of Motion Sickness in Transportation Vehicles: Malaysia Case Study Mohd Iyad Akmal Mohd Indra Sefee; Juffrizal Karjanto; Muhammad Zahir Hasan; Fauzi Ahmad; Abd Fathul Hakim Zulkifli; Syabillah Sulaiman; Zulhaidi Mohd Jawi; Matthias Rauterberg
Automotive Experiences Vol. 9 No. 2 (2026): Issue in Progress
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ae.14475

Abstract

Motion sickness (MS) is a common issue for vehicle passengers, characterized by symptoms such as nausea, dizziness, and discomfort due to sensory conflicts between the visual and vestibular systems. This study aims to identify and quantify the modulating factors contributing to MS in vehicles within the Malaysian context. A systematic questionnaire was conducted, incorporating subjective feedback from 634 participants. The results highlight key factors like seating position, visual activities, and environmental conditions that influence MS susceptibility showing the most prominent factors are from Visual Activity with a mean of 3.44 among the others contributing most susceptibility from the activities of Reading (83.2%) and Writing (79.2%). Older people and females seemed to report greater susceptibility to motion sickness. This vulnerability is shown to increase with age as those 45+ years and above show the highest susceptibility, reporting a 69% rate on curvy roads and 66% during reading, in contrast with those between 18-29 who report a 52% and 50% susceptibility rate. Females again reported consistently higher rates than males, with the difference being larger in situations involving rear-facing seating or tasks requiring significant visual focus, such as reading (female 63% vs. male 46%) and driving on curvy roads (female 68% vs. male 50%). These factors of rear-facing seating and tasks involving intense visual focus, like reading or watching videos, were the strongest modulators identified, with a strong aggravating influence on symptoms across all groups. The findings provide crucial baselines for engineering future vehicle layouts, optimizing cabin climate systems, and designing targeted mitigation systems required to support human comfort and accelerate Automated Vehicle (AV) adoption in developing transport infrastructures.
Co-Authors Abd Fathul Hakim Zulkifli Abdullah Bin Zulkifli Ahmad Fakhri Bin Ab. Nasir Ericsson Yong Fauzi Ahmad Intan Suhana Binti Mohd Razelan Juffrizal Karjanto Khairil Anwar Abu Kassim Matthias Rauterberg Mohamad Heerwan Bin Peeie Mohammad Izhar Sulaiman Mohd Iyad Akmal Mohd Indra Sefee Mohd Zamri Bin Ibrahim Muhammad Aizzat Bin Zakaria Muhammad Izhar Ishak Muhammad Zahir Hasan Muhammad Zahir Hassan Nidzamuddin Md Yusof Syabillah Sulaiman