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Motorcycles entering from access points and merging with traffic on primary roads in Malaysia: behavioral and road environment influence on the occurrence of traffic conflicts

Abdul Manan MM

Accid Anal Prev, 2014 Sep;70:301-13.
PMID: 24831271 DOI: 10.1016/j.aap.2014.04.009

This paper uses data from an observational study, conducted at access points in straight sections of primary roads in Malaysia in 2012, to investigate the effects of motorcyclists' behavior and road environment attributes on the occurrence of serious traffic conflicts involving motorcyclists entering primary roads via access points. In order to handle the unobserved heterogeneity in the small sample data size, this study applies mixed effects logistic regression with multilevel bootstrapping. Two statistically significant models (Model 2 and Model 3) are produced, with 2 levels of random effect parameters, i.e. motorcyclists' attributes and behavior at Level 1, and road environment attributes at Level 2. Among all the road environment attributes tested, the traffic volume and the speed limit are found to be statistically significant, only contributing to 26-29% of the variations affecting the traffic conflict outcome. The implication is that 71-74% of the unmeasured or undescribed attributes and behavior of motorcyclists still have an importance in predicting the outcome: a serious traffic conflict. As for the fixed effect parameters, both models show that the risk of motorcyclists being involved in a serious traffic conflict is 2-4 times more likely if they accept a shorter gap to a single approaching vehicle (time lag <4s) and in between two vehicles (time gap <4s) when entering the primary road from the access point. A road environment factor, such as a narrow lane (seen in Model 2), and a behavioral factor, such as stopping at the stop line (seen in Model 3), also influence the occurrence of a serious traffic conflict compared to those entering into a wider lane road and without stopping at the stop line, respectively. A discussion of the possible reasons for this seemingly strange result, including a recommendation for further research, concludes the paper.

Matched MeSH terms: Automobile Driving/psychology*
Fulltext Assessing the reliability of subjective evaluation for comfortable driving postures

Darliana Mohamad, Dian Darina Indah Daruis, Baba Md Deros, Ahmad Rasdan Ismail

Malaysian Journal of Public Health Medicine, 2016;16(20):14-19.
MyJurnal

Drivers’ posture is one of the factors that can contribute to driving discomfort. Subjective evaluation is needed in determining the driving discomfort problem. The purpose of this study is to examine the reliability of different driving postures that may lead to drivers’ discomfort. A total of thirty-four healthy Malaysian drivers were involved in this study. Respondents were required to sit on the driver’s seat with the required adjustments of three different postures and fill-in the given subjective evaluation form. The same procedure was repeated for each respondent after three days for purpose of conducting test retest evaluation. The reliability statistical analysis result shows the study was reliable and valid with a Cronbach’s alpha coefficient equal to 0.827. The comparison means that ANOVA analysis also shows significance difference between these three groups of postures for all measured parameters. In conclusion, the result from this study shows the subjective evaluation conducted is reliable and can be used for drivers’ posture discomfort study.

Matched MeSH terms: Automobile Driving
Modeling of passengers' safety perception for buses on mountainous roads

Khoo HL, Ahmed M

Accid Anal Prev, 2018 Apr;113:106-116.
PMID: 29407657 DOI: 10.1016/j.aap.2018.01.025

This study had developed a passenger safety perception model specifically for buses taking into consideration the various factors, namely driver characteristics, environmental conditions, and bus characteristics using Bayesian Network. The behaviour of bus driver is observed through the bus motion profile, measured in longitudinal, lateral, and vertical accelerations. The road geometry is recorded using GPS and is computed with the aid of the Google map while the perceived bus safety is rated by the passengers in the bus in real time. A total of 13 variables were derived and used in the model development. The developed Bayesian Network model shows that the type of bus and the experience of the driver on the investigated route could have an influence on passenger's perception of their safety on buses. Road geometry is an indirect influencing factor through the driver's behavior. The findings of this model are useful for the authorities to structure an effective strategy to improve the level of perceived bus safety. A high level of bus safety will definitely boost passenger usage confidence which will subsequently increase ridership.

Matched MeSH terms: Automobile Driving
Fulltext Joint torque reduction of a three dimensional redundant planar manipulator

Yahya S, Moghavvemi M, Almurib HA

Sensors (Basel), 2012;12(6):6869-92.
PMID: 22969326 DOI: 10.3390/s120606869

Research on joint torque reduction in robot manipulators has received considerable attention in recent years. Minimizing the computational complexity of torque optimization and the ability to calculate the magnitude of the joint torque accurately will result in a safe operation without overloading the joint actuators. This paper presents a mechanical design for a three dimensional planar redundant manipulator with the advantage of the reduction in the number of motors needed to control the joint angle, leading to a decrease in the weight of the manipulator. Many efforts have been focused on decreasing the weight of manipulators, such as using lightweight joints design or setting the actuators at the base of the manipulator and using tendons for the transmission of power to these joints. By using the design of this paper, only three motors are needed to control any n degrees of freedom in a three dimensional planar redundant manipulator instead of n motors. Therefore this design is very effective to decrease the weight of the manipulator as well as the number of motors needed to control the manipulator. In this paper, the torque of all the joints are calculated for the proposed manipulator (with three motors) and the conventional three dimensional planar manipulator (with one motor for each degree of freedom) to show the effectiveness of the proposed manipulator for decreasing the weight of the manipulator and minimizing driving joint torques.

Matched MeSH terms: Automobile Driving
Fulltext The Roles and Performance of Professional Driving Instructors in Novice Driver Education

Jawi ZM, Deros BM, Rashid AAA, Isa MHM, Awang A

Sultan Qaboos Univ Med J, 2017 Aug;17(3):e277-e285.
PMID: 29062549 DOI: 10.18295/squmj.2017.17.03.004

This review article aimed to analyse existing literature regarding the roles and performance of professional driving instructors (PDIs) in novice driver education (DE). A systematic classification scheme was adopted to analyse identified articles to determine the study context of PDIs in novice DE, the competency level of PDIs in relation to experienced and learner drivers and the contributions of PDIs to the novice driver learning process. A total of 14 original research articles were identified, with no systematic reviews or meta-analyses available. Overall, all of the articles were found to be inadequate in providing an in-depth understanding of the roles and performance of PDIs in novice DE. There is an urgent need to improve current understanding of the roles of PDIs in novice DE and to work towards an internationally recognised PDI management approach.

Matched MeSH terms: Automobile Driving/education*
Application of theory-based evaluation for the critical analysis of national biofuel policy: A case study in Malaysia

Abdul-Manan AF, Baharuddin A, Chang LW

Eval Program Plann, 2015 Oct;52:39-49.
PMID: 25898073 DOI: 10.1016/j.evalprogplan.2015.03.007

Theory-based evaluation (TBE) is an effectiveness assessment technique that critically analyses the theory underlying an intervention. Whilst its use has been widely reported in the area of social programmes, it is less applied in the field of energy and climate change policy evaluations. This paper reports a recent study that has evaluated the effectiveness of the national biofuel policy (NBP) for the transport sector in Malaysia by adapting a TBE approach. Three evaluation criteria were derived from the official goals of the NBP, those are (i) improve sustainability and environmental friendliness, (ii) reduce fossil fuel dependency, and (iii) enhance stakeholders' welfare. The policy theory underlying the NBP has been reconstructed through critical examination of the policy and regulatory documents followed by a rigorous appraisal of the causal link within the policy theory through the application of scientific knowledge. This study has identified several weaknesses in the policy framework that may engender the policy to be ineffective. Experiences with the use of a TBE approach for policy evaluations are also shared in this report.

Matched MeSH terms: Automobile Driving/statistics & numerical data
Fitness to drive

Yeo HP, Chua WT

Family Practitioner, 1985;8:75-75.

Matched MeSH terms: Automobile Driving
Fulltext Ability to return to driving after major lower limb amputation

Engkasan JP, Ehsan FM, Chung TY

J Rehabil Med, 2012 Jan;44(1):19-23.
PMID: 22124514 DOI: 10.2340/16501977-0904

The aims of this study were to examine the ability of patients to return to driving cars and riding motorcycles after lower limb amputation, and to explore the factors that significantly affect such ability.

Matched MeSH terms: Automobile Driving/statistics & numerical data*
The effect of alcohol level on male and female drivers: Important facts

Murthy JK, Das S

Drug Alcohol Depend, 2020 Sep 01;214:108146.
PMID: 32634715 DOI: 10.1016/j.drugalcdep.2020.108146
Matched MeSH terms: Automobile Driving*
Development of a statistical model for predicting seat pressure felt level in simulated condition based on direct and anthropometric measurement

Khamis NK, Deros BM

J Phys Ther Sci, 2018 Jun;30(6):764-769.
PMID: 29950761 DOI: 10.1589/jpts.30.764

[Purpose] The purpose of this study was to investigate the effects of seat pressure distribution measurements based on a specific posture to predict the pressure felt level when seated. [Subjects and Methods] To examine the relationship between body pressure data and the driver's perception, eleven subjects were selected to participate in a simulated driving experiment using a pressure mat as a direct measurement method to measure the seat pan's pressure distribution. The buttock-popliteal length was measured using an anthropometer, and the pressure felt ratings evaluated after the body pressure measurements were recorded. Accordingly, this was then followed by performing statistical analysis using seat pressure measurements, and the buttock-popliteal length as independent variables along with subjective ratings selected of the pressure felt by the drivers' as dependent variables. [Results] The findings of this study suggest that the direct measurements and anthropometric body data are positively correlated with the predictive model thereby confirming the validity of the model with an R2 value of 0.952. [Conclusion] The proposed model is expected to provide a useful reference value for new vehicle drivers by providing the pressure felt level based on direct and body measurements in a specific posture.

Matched MeSH terms: Automobile Driving
Fulltext A Hybrid Approach to Detect Driver Drowsiness Utilizing Physiological Signals to Improve System Performance and Wearability

Awais M, Badruddin N, Drieberg M

Sensors (Basel), 2017 Aug 31;17(9).
PMID: 28858220 DOI: 10.3390/s17091991

Driver drowsiness is a major cause of fatal accidents, injury, and property damage, and has become an area of substantial research attention in recent years. The present study proposes a method to detect drowsiness in drivers which integrates features of electrocardiography (ECG) and electroencephalography (EEG) to improve detection performance. The study measures differences between the alert and drowsy states from physiological data collected from 22 healthy subjects in a driving simulator-based study. A monotonous driving environment is used to induce drowsiness in the participants. Various time and frequency domain feature were extracted from EEG including time domain statistical descriptors, complexity measures and power spectral measures. Features extracted from the ECG signal included heart rate (HR) and heart rate variability (HRV), including low frequency (LF), high frequency (HF) and LF/HF ratio. Furthermore, subjective sleepiness scale is also assessed to study its relationship with drowsiness. We used paired t-tests to select only statistically significant features (p < 0.05), that can differentiate between the alert and drowsy states effectively. Significant features of both modalities (EEG and ECG) are then combined to investigate the improvement in performance using support vector machine (SVM) classifier. The other main contribution of this paper is the study on channel reduction and its impact to the performance of detection. The proposed method demonstrated that combining EEG and ECG has improved the system's performance in discriminating between alert and drowsy states, instead of using them alone. Our channel reduction analysis revealed that an acceptable level of accuracy (80%) could be achieved by combining just two electrodes (one EEG and one ECG), indicating the feasibility of a system with improved wearability compared with existing systems involving many electrodes. Overall, our results demonstrate that the proposed method can be a viable solution for a practical driver drowsiness system that is both accurate and comfortable to wear.

Matched MeSH terms: Automobile Driving
Characteristics of persons with spinal cord injury who drive in Malaysia and its barriers: a cross sectional study

Lee RCH, Hasnan N, Engkasan JP

Spinal Cord, 2018 04;56(4):341-346.
PMID: 29288252 DOI: 10.1038/s41393-017-0034-2

STUDY DESIGN: Cross sectional study.

OBJECTIVES: To determine the prevalence, characteristics of and barriers to driving among persons with a spinal cord injury (SCI).

SETTING: SCI Rehabilitation Clinic, University Malaya Medical Centre (UMMC).

METHODS: This is a questionnaire-based study on persons with SCI who attended the UMMC SCI Rehabilitation Clinic between June 2015 and November 2016. The questionnaire comprised demographic data, clinical characteristics, driving variables, Spinal Cord Independence Measure III, WHOQOL-BREF, and Craig Handicap Assessment and Reporting Technique Short Form. Malaysians aged greater than 18 years old with any etiology and levels of SCI, had no other physical disabilities and not suffering from progressive illness were recruited. A single investigator administered the questionnaire via face-to-face interviews.

RESULTS: A total of 160 participants were included in this study. Overall, 37% of persons with SCI drove and owned a modified vehicle. Almost half of persons with paraplegia (47%) drove, but only 12% of tetraplegia did. A majority (93%) of those who drove aged below 60 years, and had higher level of independence in activity of daily living. More drivers (81%) compared to non-drivers (24%) were employed; drivers also reported better community reintegration and quality of life. Three commonest barriers to driving included medical reasons (38%), fear and lack of confidence (17%), and inability to afford vehicle modifications (13%).

CONCLUSIONS: The percentage of persons with SCI driving post injury is low. Based on the findings of this study, more efforts are needed to motivate and facilitate persons with SCI to drive.

Study site: SCI Rehabilitation Clinic, University Malaya Medical Centre (UMMC)

Matched MeSH terms: Automobile Driving/psychology; Automobile Driving/statistics & numerical data*
Motorcyclist rear brake simple perception-response times in rear-end collision situations

Davoodi SR, Hamid H, Arintono S, Muniandy R, Faezi SF

Traffic Inj Prev, 2011 Apr;12(2):174-9.
PMID: 21469025 DOI: 10.1080/15389588.2010.533314

The purpose of this study was to determine the baseline motorcycle riders' perception-response times (PRTs) in an expected object braking task and to determine the significant difference between PRTs of older and younger riders.

Matched MeSH terms: Automobile Driving/psychology*
Effects of familial climate on the adolescents' driving habits: a recent literature

Foo KY

Int J Inj Contr Saf Promot, 2015;22(2):127-35.
PMID: 24328944 DOI: 10.1080/17457300.2013.855795

Driving is a functional task that requires a complex interaction of visual perception, cognitive and motor skills. Next to circulatory diseases and cancer, road accidents remain the third epidemic cause of death internationally, with approximately half a million teen drivers killed annually. Driver behaviour has been cited as the pervasive marker of automotive crashes. A reliable and firm relationship between the positive parental model, message, and communication has been established. Specifically, the familial climate is proposed to be an important element of reinforcement, modelling, support and environmental determinant in interpreting personal perceptions, habits, values, and belief system. Confirming the assertion, this bibliographic review presents the most recent research findings on the contributions of families to the driving habits of teens. The emphasis is speculated on parental alcohol use, aggressiveness, attention-deficit/hyperactivity disorder, relationship, and intergenerational transmission of driving styles. Besides, the effects of familial supervision, monitoring, education and awareness, and genders, partners, and demographic influence on the driving habits are discussed and outlined.

Matched MeSH terms: Automobile Driving/education; Automobile Driving/psychology*
Truck driver fatigue risk assessment and management: a multinational survey

Adams-Guppy J, Guppy A

Ergonomics, 2003 Jun 20;46(8):763-79.
PMID: 12745978 DOI: 10.1080/0014013021000056980

As part of an organizational review of safety, interviews and questionnaire surveys were performed on over 700 commercial goods drivers and their managers within a series of related companies operating across 17 countries. The results examine the reported incidence of fatigue-related problems in drivers and their associations with near miss and accident experience as well as work and organizational factors. Experience of fatigue problems while driving was linked to time of day and rotation of shifts, though most associations were small. There were significant associations found between fatigue experiences and driver and management systems of break taking and route scheduling. The quantitative combined with qualitative information suggested that, where feasible, more flexible approaches to managing the scheduling and sequencing of deliveries assisted drivers in managing their own fatigue problems through appropriate break-taking. The results are interpreted within the overarching principles of risk assessment and risk control.

Matched MeSH terms: Automobile Driving/statistics & numerical data*
Fulltext Effectiveness of computerized visual screening tool used in driving schools in Malaysia

Haliza AM

Malays Fam Physician, 2011;6(1):15-8.
PMID: 25606214 MyJurnal

PURPOSE: A survey on new Malaysian drivers was conducted in Malaysia between year 2006-2009. The objective of this study was to look at the effectiveness of the present computerized visual screening tool and to compare it with the conventional testing method.
METHODS: A total of 3717 drivers aged 19±6 years, who had passed in the computerized visual screening, participated in this study.
RESULTS: 250 subjects achieved less than 0.3 LogMAR with their best eye and 83 subjects failed the Ishihara Test after retested using the conventional tool.
CONCLUSION: These finding showed the computerized visual screening test failed to filter some subjects according to the standards set.
KEYWORDS: Visual acuity; colour vision; driving; vision

Matched MeSH terms: Automobile Driving*
Fulltext Role of parents in motorcycle riding practices among teenagers. [Peranan ibu bapa dalam amalan remaja menunggang motosikal]

Norliza Ahmad, Hanafiah Mohd Salleh

Malaysian Journal of Public Health Medicine, 2002;2(2):47-51.
MyJurnal

This study was designed to examine the role of parents and family in motorcycle riding practices among teenagers and motorcycle accident in FELDA Trolak Utara, Perak. This was a cross sectional study using universal sampling that involved 309 teenage riders aging from 11 to 19 years old. Only 6.1% respondents that rode motorcycle had a valid driving licenses. Mean age of starting to ride was 11.46 ± 1.75 years old. Mean years of riding motorcycle was 3.66 ± 1.95 years. The major buyer of motorcycles for the teenagers were father (78.3%) and other family members (13.7%). About 42.7% of teenagers learnt riding by themselves and in 51.8%, family members taught teenagers to ride motorcycle. The main purpose for riding motorcycle were to go to shop (37.2%), to school (32.7%) and for recreation (25.2%). From the perception of teenagers, about 82.2% parents encouraged them to ride. Mean usual riding speed (n = 296) was 58.72 ± 23.97 km/h. The mean maximum riding speed (n = 290) was 89.81 ± 30.70 km/h. There were positive correlation between years of motorcycle riding and usual motorcycle riding speed (r = 0.292, p < 0.05) and maximum motorcycle riding speed (r = 0.371, p < 0.05). The usual motorcycle riding speed was predictor factor for motorcycle accident. Parents, families and communities should play their role to make sure that their teenage children do not ride at a very young age and ride without a valid license. Reducing years of motorcycle riding among teenagers may reduce usual riding speed and consecutively reducing teenagers’ involvement in motorcycle accidents.
Key words : role of parents, teenagers’ riding practice, motorcycle

Matched MeSH terms: Automobile Driving
Fulltext Dataset of driving behaviours in Selangor, Malaysia

You HW, Abdul Rahman A, Hendri Dwisatrya LH

Data Brief, 2020 Aug;31:105783.
PMID: 32642504 DOI: 10.1016/j.dib.2020.105783

Road traffic accidents have been recognised as a leading cause of death, and one of the prominent public health problems. The human factor, which is the driving behaviour in particular, is said to be the main cause. In line with this, the objective of this research is to present a data article on the response of driving behaviours among drivers. Driving behaviours have been classified into five dimensions, which are speeding, improper overtaking, mobile phone use while driving, tail-gating and disobeying traffic lights. A quantitative study was conducted with a sample size of 160 drivers consisting of residents in a suburban of Selangor, Malaysia. A stratified random sampling method was adopted to identify the respondents. Data analysis was presented in the form of descriptive statistics and tables. The findings show that the majority of respondents agreed that they have driving behaviours that involve improper overtaking, tail-gating and disobeying traffic lights.

Matched MeSH terms: Automobile Driving
The impact of heart rate-based drowsiness monitoring on adverse driving events in heavy vehicle drivers under naturalistic conditions

Wolkow AP, Rajaratnam SMW, Wilkinson V, Shee D, Baker A, Lillington T, et al.

Sleep Health, 2020 06;6(3):366-373.
PMID: 32340910 DOI: 10.1016/j.sleh.2020.03.005

OBJECTIVES: This study examined the influence of a wrist-worn heart rate drowsiness detection device on heavy vehicle driver safety and sleep and its ability to predict driving events under naturalistic conditions.
DESIGN: Prospective, non-randomized trial.
SETTING: Naturalistic driving in Malaysia.
PARTICIPANTS: Heavy vehicle drivers in Malaysia were assigned to the Device (n = 25) or Control condition (n = 34).
INTERVENTION: Both conditions were monitored for driving events at work over 4-weeks in Phase 1, and 12-weeks in Phase 2. In Phase 1, the Device condition wore the device operated in the silent mode (i.e., no drowsiness alerts) to examine the accuracy of the device in predicting driving events. In Phase 2, the Device condition wore the device in the active mode to examine if drowsiness alerts from the device influenced the rate of driving events (compared to Phase 1).
MEASUREMENTS: All participants were monitored for harsh braking and harsh acceleration driving events and self-reported sleep duration and sleepiness daily.
RESULTS: There was a significant decrease in the rate of harsh braking events (Rate ratio = 0.48, p

Matched MeSH terms: Automobile Driving/psychology*
Fulltext Model-based test case prioritization using selective and even-spread count-based methods with scrutinized ordering criterion

Mohd-Shafie ML, Wan-Kadir WMN, Khatibsyarbini M, Isa MA

PLoS One, 2020;15(2):e0229312.
PMID: 32084232 DOI: 10.1371/journal.pone.0229312

Regression testing is crucial in ensuring that modifications made did not introduce any adverse effect on the software being modified. However, regression testing suffers from execution cost and time consumption problems. Test case prioritization (TCP) is one of the techniques used to overcome these issues by re-ordering test cases based on their priorities. Model-based TCP (MB-TCP) is an approach in TCP where the software models are manipulated to perform prioritization. The issue with MB-TCP is that most of the existing approaches do not provide satisfactory faults detection capability. Besides, their granularity of test selection criteria is not very good and this can affect prioritization effectiveness. This study proposes an MB-TCP approach that can improve the faults detection performance of regression testing. It combines the implementation of two existing approaches from the literature while incorporating an additional ordering criterion to boost prioritization efficacy. A detailed empirical study is conducted with the aim to evaluate and compare the performance of the proposed approach with the selected existing approaches from the literature using the average of the percentage of faults detected (APFD) metric. Three web applications were used as the objects of study to obtain the required test suites that contained the tests to be prioritized. From the result obtained, the proposed approach yields the highest APFD values over other existing approaches which are 91%, 86% and 91% respectively for the three web applications. These higher APFD values signify that the proposed approach is very effective in revealing faults early during testing. They also show that the proposed approach can improve the faults detection performance of regression testing.

Matched MeSH terms: Automobile Driving/standards*

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