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  1. Novice driver crashes: The relation between putative causal factors, countermeasures, real world implementations, and policy - A case study in simple, scalable solutions
    Fisher DL, Agrawal R, Divekar G, Hamid MA, Krishnan A, Mehranian H, et al.
    Accid Anal Prev, 2024 Apr;198:107397.
    PMID: 38271896 DOI: 10.1016/j.aap.2023.107397
    Novice drivers are at a greatly inflated risk of crashing. This led in the 20th century to numerous attempts to develop training programs that could reduce their crash risk. Yet, none proved effective. Novice drivers were largely considered careless, not clueless. This article is a case study in the United States of how a better understanding of the causes of novice driver crashes led to training countermeasures targeting teen driving behaviors with known associations with crashes. These effects on behaviors were large enough and long-lasting enough to convince insurance companies to develop training programs that they offered around the country to teen drivers. The success of the training programs at reducing the frequency of behaviors linked to crashes also led to several large-scale evaluations of the effect of the training programs on actual crashes. A reduction in crashes was observed. The cumulative effect has now led to state driver licensing agencies considering as a matter of policy both to include items testing the behaviors linked to crashes on licensing exams and to require training on safety critical behaviors. The effort has been ongoing for over a quarter century and is continuing. The case study highlights the critical elements that made it possible to move from a paradigm shift in the understanding of crash causes to the development and evaluation of crash countermeasures, to the implementation of those crash countermeasures, and to subsequent policy changes at the state and federal level. Key among these elements is the development of simple, scalable solutions.
    Matched MeSH terms: Automobile Driving*
  2. Leptospirosis modelling using hydrometeorological indices and random forest machine learning
    Jayaramu V, Zulkafli Z, De Stercke S, Buytaert W, Rahmat F, Abdul Rahman RZ, et al.
    Int J Biometeorol, 2023 Mar;67(3):423-437.
    PMID: 36719482 DOI: 10.1007/s00484-022-02422-y
    Leptospirosis is a zoonosis that has been linked to hydrometeorological variability. Hydrometeorological averages and extremes have been used before as drivers in the statistical prediction of disease. However, their importance and predictive capacity are still little known. In this study, the use of a random forest classifier was explored to analyze the relative importance of hydrometeorological indices in developing the leptospirosis model and to evaluate the performance of models based on the type of indices used, using case data from three districts in Kelantan, Malaysia, that experience annual monsoonal rainfall and flooding. First, hydrometeorological data including rainfall, streamflow, water level, relative humidity, and temperature were transformed into 164 weekly average and extreme indices in accordance with the Expert Team on Climate Change Detection and Indices (ETCCDI). Then, weekly case occurrences were classified into binary classes "high" and "low" based on an average threshold. Seventeen models based on "average," "extreme," and "mixed" indices were trained by optimizing the feature subsets based on the model computed mean decrease Gini (MDG) scores. The variable importance was assessed through cross-correlation analysis and the MDG score. The average and extreme models showed similar prediction accuracy ranges (61.5-76.1% and 72.3-77.0%) while the mixed models showed an improvement (71.7-82.6% prediction accuracy). An extreme model was the most sensitive while an average model was the most specific. The time lag associated with the driving indices agreed with the seasonality of the monsoon. The rainfall variable (extreme) was the most important in classifying the leptospirosis occurrence while streamflow was the least important despite showing higher correlations with leptospirosis.
    Matched MeSH terms: Automobile Driving*
  3. Fulltext Transport, Mobility and the Wellbeing of Older Adults: An Exploration of Private Chauffeuring and Companionship Services in Malaysia
    Abdul Latiff AR, Mohd S
    Int J Environ Res Public Health, 2023 Feb 03;20(3).
    PMID: 36768086 DOI: 10.3390/ijerph20032720
    As physical abilities and health decline with age, older adults tend to lose their driving abilities, which affects their mobility. As mobility is important to older adults' wellbeing, there is a need to explore alternative modes of transportation to increase their ability to actively participate in society. Hence, this paper aims to understand the characteristics of private chauffeuring and companionship services for older adults, and to assess their possible effects on older adults' wellbeing. We gathered the views of transport operators, government agencies, and city councils that offer private chauffeuring and companionship services for older adults. We frame the model of private chauffeuring and companionship services as alternative mobility for older adults and outline a conceptual framework for its possible effects on their wellbeing. The underlying mobility characteristics were availability, accessibility, safety, and affordability-all of which influence wellbeing. The study found that the private chauffeuring and companionship model for older adults includes an additional model of government-to-consumer services in addition to the existing peer-to-peer and business-to-consumer services. While the services are available, the services provided are not standardized, with different operators offering different services and prices, and limiting certain geographical areas. Transport operators perceived that the services they offer promote older adults' physical and mental health, improve their social participation in the community, and empower them in making their travel decisions. The findings of the paper provide insights for policy makers for future planning of alternative transportation for older adults to enhance their mobility.
    Matched MeSH terms: Automobile Driving*
  4. Fulltext TSR-YOLO: A Chinese Traffic Sign Recognition Algorithm for Intelligent Vehicles in Complex Scenes
    Song W, Suandi SA
    Sensors (Basel), 2023 Jan 09;23(2).
    PMID: 36679542 DOI: 10.3390/s23020749
    Recognizing traffic signs is an essential component of intelligent driving systems' environment perception technology. In real-world applications, traffic sign recognition is easily influenced by variables such as light intensity, extreme weather, and distance, which increase the safety risks associated with intelligent vehicles. A Chinese traffic sign detection algorithm based on YOLOv4-tiny is proposed to overcome these challenges. An improved lightweight BECA attention mechanism module was added to the backbone feature extraction network, and an improved dense SPP network was added to the enhanced feature extraction network. A yolo detection layer was added to the detection layer, and k-means++ clustering was used to obtain prior boxes that were better suited for traffic sign detection. The improved algorithm, TSR-YOLO, was tested and assessed with the CCTSDB2021 dataset and showed a detection accuracy of 96.62%, a recall rate of 79.73%, an F-1 Score of 87.37%, and a mAP value of 92.77%, which outperformed the original YOLOv4-tiny network, and its FPS value remained around 81 f/s. Therefore, the proposed method can improve the accuracy of recognizing traffic signs in complex scenarios and can meet the real-time requirements of intelligent vehicles for traffic sign recognition tasks.
    Matched MeSH terms: Automobile Driving*
  5. Fulltext Investigating the Effect of COVID-19 on Driver Behavior and Road Safety: A Naturalistic Driving Study in Malaysia
    Al-Hussein WA, Li W, Por LY, Ku CS, Alredany WHD, Leesri T, et al.
    Int J Environ Res Public Health, 2022 Sep 07;19(18).
    PMID: 36141497 DOI: 10.3390/ijerph191811224
    The spread of the novel coronavirus COVID-19 resulted in unprecedented worldwide countermeasures such as lockdowns and suspensions of all retail, recreational, and religious activities for the majority of 2020. Nonetheless, no adequate scientific data have been provided thus far about the impact of COVID-19 on driving behavior and road safety, especially in Malaysia. This study examined the effect of COVID-19 on driving behavior using naturalistic driving data. This was accomplished by comparing the driving behaviors of the same drivers in three periods: before COVID-19 lockdown, during COVID-19 lockdown, and after COVID-19 lockdown. Thirty people were previously recruited in 2019 to drive an instrumental vehicle on a 25 km route while recording their driving data such as speed, acceleration, deceleration, distance to vehicle ahead, and steering. The data acquisition system incorporated various sensors such as an OBDII reader, a lidar, two ultrasonic sensors, an IMU, and a GPS. The same individuals were contacted again in 2020 to drive the same vehicle on the same route in order to capture their driving behavior during the COVID-19 lockdown. Participants were approached once again in 2022 to repeat the procedure in order to capture their driving behavior after the COVID-19 lockdown. Such valuable and trustworthy data enable the assessment of changes in driving behavior throughout the three time periods. Results showed that drivers committed more violations during the COVID-19 lockdown, with young drivers in particular being most affected by the traffic restrictions, driving significantly faster and performing more aggressive steering behaviors during the COVID-19 lockdown than any other time. Furthermore, the locations where the most speeding offenses were committed are highlighted in order to provide lawmakers with guidance on how to improve traffic safety in those areas, in addition to various recommendations on how to manage traffic during future lockdowns.
    Matched MeSH terms: Automobile Driving*
  6. Driving style recognition using machine learning and smartphones
    Bin Jamal Mohd Lokman EH, Goh VT, Yap TTV, Ng H
    F1000Res, 2022;11:57.
    PMID: 37082303 DOI: 10.12688/f1000research.73134.1
    Background: The lack of real-time monitoring is one of the reasons for the lack of awareness among drivers of their dangerous driving behavior. This work aims to develop a driver profiling system where a smartphone's built-in sensors are used alongside machine learning algorithms to classify different driving behaviors. Methods: We attempt to determine the optimal combination of smartphone sensors such as accelerometer, gyroscope, and GPS in order to develop an accurate machine learning algorithm capable of identifying different driving events (e.g. turning, accelerating, or braking). Results: In our preliminary studies, we encountered some difficulties in obtaining consistent driving events, which had the potential to add "noise" to the observations, thus reducing the accuracy of the classification. However, after some pre-processing, which included manual elimination of extraneous and erroneous events, and with the use of the Convolutional Neural Networks (CNN), we have been able to distinguish different driving events with an accuracy of about 95%. Conclusions: Based on the results of preliminary studies, we have determined that proposed approach is effective in classifying different driving events, which in turn will allow us to determine driver's driving behavior.
    Matched MeSH terms: Automobile Driving*
  7. Fulltext Psychological, psychophysiological and behavioural effects of participant-selected vs. researcher-selected music in simulated urban driving
    Karageorghis CI, Mouchlianitis E, Payre W, Kuan G, Howard LW, Reed N, et al.
    Appl Ergon, 2021 Oct;96:103436.
    PMID: 34087703 DOI: 10.1016/j.apergo.2021.103436
    We investigated the effect of participant-selected (PSel) and researcher-selected (RSel) music on urban driving behaviour in young men (N = 27; Mage = 20.6 years, SD = 1.9 years). A counterbalanced, within-subjects design was used with four simulated driving conditions: PSel fast-tempo music, PSel slow-tempo music, RSel music and an urban traffic-noise control. The between-subjects variable of personality (introverts vs. extroverts) was explored. The presence of PSel slow-tempo music and RSel music optimised affective valence and arousal for urban driving. NASA Task Load Index scores indicated that the urban traffic-noise control increased mental demand compared to PSel slow-tempo music. In the PSel slow-tempo condition, less use was made of the brake pedal. When compared to extroverts, introverts recorded lower mean speed and attracted lower risk ratings under PSel slow-tempo music. The utility of PSel slow-tempo and RSel music was demonstrated in terms of optimising affective state for simulated urban driving.
    Matched MeSH terms: Automobile Driving*
  8. Fulltext Modelling the Relationship between the Nature of Work Factors and Driving Performance Mediating by Role of Fatigue
    Al-Mekhlafi AA, Isha ASN, Chileshe N, Abdulrab M, Saeed AAH, Kineber AF
    Int J Environ Res Public Health, 2021 06 23;18(13).
    PMID: 34201674 DOI: 10.3390/ijerph18136752
    Driving fatigue is a serious issue for the transportation sector, decreasing the driver's performance and increasing accident risk. This study aims to investigate how fatigue mediates the relationship between the nature of work factors and driving performance. The approach included a review of the previous studies to select the dimensional items for the data collection instrument. A pilot test to identify potential modification to the questionnaire was conducted, then structural equation modelling (SEM) was performed on a stratified sample of 307 drivers, to test the suggested hypotheses. Based on the results, five hypotheses have indirect relationships, four of which have a significant effect. Besides, the results show that driving fatigue partially mediates the relationship between the work schedule and driving performance and fully mediates in the relationship between work activities and driving performance. The nature of work and human factors is the most common reason related to road accidents. Therefore, the emphasis on driving performance and fatigue factors would thereby lead to preventing fatal crashes and life loss.
    Matched MeSH terms: Automobile Driving*
  9. 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*
  10. 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
  11. 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*
  12. The Relationship between Norms and Risky Driving Behavior: A Systematic Review
    Harith SH, Mahmud N
    Iran J Public Health, 2020 Feb;49(2):211-220.
    PMID: 32461928
    Background: Road accident statistics has been seen increasing over the years despite numerous efforts made by the authorities. Human factors have contributed 90% of accident occurrence with risky driving behavior being one of the significant human factors that can be further explained through norms. This review paper aimed to investigate the relationship between norms and drivers' risky driving behavior.

    Methods: A systematic review process was conducted through four academic databases namely Scopus, Wiley Online Library, Emerald and Web of Science of no limitation for date. Overall, 3443 titles were identified and after several screening and reviewing processes, only 27 studies were included.

    Results: The results of the review demonstrated mixed findings between subjective norm and risky driving behavior, whereas the relationship between group norm, moral norm, injunctive norm, descriptive norm and risky driving behavior were observed significant.

    Conclusion: Appropriate educational awareness is required to educate the society in practicing good norms for mutual benefit of the society. Parents also need to set a good example for their children by abiding the traffic rules and regulation.

    Matched MeSH terms: Automobile Driving
  13. Fulltext Colour vision deficiency among failed candidates for driving license in Sabah. [Abstract]
    Azmi N, Yahya AN, Gilong HCS, Anne SJ, Ting RHY, Amil Bangsa NH, et al.
    Borneo Journal of Medical Sciences, 2020;3(101):11-12.
    MyJurnal
    Introduction: Good visual acuity (VA) coupled with the ability to discriminate colours and having a sufficiently wide field of view are factors needed for safe driving. This study aimed to determine the types of colour vision deficiency (CVD) among failed candidates for driving license and to identify the accuracy of the Road transport Department (RTD) screening tests in detecting those who have poor VA and CVD in Sabah.
    Methods: A cross-sectional study on the patient’s records of all failed candidates for the driving license that were referred for further assessment by an optometrist. This study was conducted at eight hospitals in Sabah from March to June 2019. Basic demographic data, distance VA, Ishihara test and Farnsworth-Munsell D15 test were collected. Descriptive statistics were used to summarise the results. All subjects referred with best-corrected visual acuity (BCVA) 0.3 LogMAR were included.
    Results: A total of 73 subjects (79% males and 21% females), age range from 16 to 61 years (mean 29±13 years) were recruited. Bajau, Dusun, Bugis and Kadazan were the major ethnic among the subjects. Mean VA on attendance was 0.1 ± 0.19 LogMAR, while BCVA was 0.0 ± 0.07 LogMAR. Thirty-six subjects (49%) were found to have CVD. The prevalence of CVD was more in males than females (45% vs 4%). Most of the CVD were deutans (25%) followed by protans (22%), no findings of tritan CVD In this study, 37 subjects (51%) passed the Ishihara test. These were the false-positive error of the RTD screening tests.
    Conclusions: Hereditary red-green perceptive disorder was the commonest CVD in Sabah. The severity of CVD was not been evaluated in this study because it is best evaluated using Hardy Rand and Rittler (HRR) test. The false-positive results might be because of technical error or unfamiliar of using computerized colour vision test, especially among elderly candidates. Visual field screening might be considered in the future to ensure safe driving.
    Keywords:visual acuity (VA), colour vision deficiency (CVD), driving license
    NMRR Research ID: NMRR-19-1785-48811
    Matched MeSH terms: Automobile Driving
  14. Fulltext Development of a composite pavement performance index to monitor the pavement condition in UPNM
    Muhammad Nur Arsyad Azman, Ng, Choy Peng, Faridah Hanim Khairuddin, Neza Ismail, Wan Mohamed Syafuan Wan Sabri
    ZULFAQAR International Journal of Defence Science, Engineering & Technology, 2020;3(1):23-31.
    MyJurnal
    Road surface condition of a pavement is one of the most important features as it affect driving comfort and safety. A good road surface condition could reduce the risk of traffic accidents and injuries. Pavement Condition Index (PCI) is one of the important tools to measure the pavement performance. By conducting pavement evaluation, civil engineers could prioritize the maintenance and rehabilitation which usually incurred a huge cost. In University Pertahanan Nasional Malaysia (UPNM), there was no proper maintenance and rehabilitation scheduled for the roads as no performance evaluation tool available to measure the pavement condition. Thus, the objective of this study was to develop a Composite Pavement Performance Index (CPPI) to monitor the pavement condition and to rank the roads in UPNM. To develop the CPPI, road defects data were collected from 6 internal roads in UPNM. From the data collected, 4 major distresses were identified: longitudinal cracking, crocodile cracking, potholes and ravelling were found more likely to affect the pavement’s condition in UPNM. By measuring the growth of the distresses over a period of 6 months, modelling was conducted using simple linear regression. The growth of the distresses were compared, and odds ratios were computed to calculate the weightage of each distress for the determination of the CPPI value. The CPPI value developed could be used to rank the roads in UPNM. This study demonstrated that the road connecting to the library building in UPNM experienced the worst pavement deterioration with a PCI of 24 or a CPPI value of 1.1915. The level of severity was classified as “SERIOUS” in accordance to ASTM D6433. This road was recommended for reconstruction to increase the comfort and safety for road users
    Matched MeSH terms: Automobile Driving
  15. Fulltext The influence of spouses and their driving roles in self-regulation: A qualitative exploration of driving reduction and cessation practices amongst married older adults
    Ang BH, Oxley JA, Chen WS, Yap MKK, Song KP, Lee SWH
    PLoS One, 2020;15(5):e0232795.
    PMID: 32413053 DOI: 10.1371/journal.pone.0232795
    INTRODUCTION: There is growing evidence to suggest the importance of self-regulatory practices amongst older adults to sustain mobility. However, the decision to self-regulate driving is a complex interplay between an individual's preference and the influence of their social networks including spouse. To our best knowledge, the influence of an older adult's spouse on their decisions during driving transition has not been explored.

    MATERIALS AND METHODS: This qualitative descriptive study was conducted amongst married older adults aged 60 years and above. All interview responses were transcribed verbatim and examined using thematic approach and interpretative description method.

    RESULTS: A total of 11 married couples were interviewed. Three major themes emerged: [1] Our roles in driving; [2] Challenges to continue driving; and, [3] Our driving strategies to ensure continued driving. Older couples adopted driving strategies and regulated their driving patterns to ensure they continued to drive safely. Male partners often took the active driving role as the principal drivers, while the females adopted a more passive role, including being the passenger to accompany the principal drivers or becoming the co-driver to help in navigation. Other coping strategies include sharing the driving duties as well as using public transportation or mixed mode transportation.

    DISCUSSION: Our findings suggest spouse play a significant role in their partners' decision to self-regulate driving. This underscores a need to recognise the importance of interdependency amongst couples and its impact on their driving decisions and outcomes.

    Matched MeSH terms: Automobile Driving/psychology*
  16. 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*
  17. Lamb to Rayleigh Wave Conversion on Superstrates as a Means to Facilitate Disposable Acoustomicrofluidic Applications
    Wong KS, Lee L, Hung YM, Yeo LY, Tan MK
    Anal Chem, 2019 10 01;91(19):12358-12368.
    PMID: 31500406 DOI: 10.1021/acs.analchem.9b02850
    Rayleigh surface acoustic waves (SAWs) have been demonstrated as a powerful and effective means for driving a wide range of microfluidic actuation processes. Traditionally, SAWs have been generated on piezoelectric substrates, although the cost of the material and the electrode deposition process makes them less amenable as low-cost and disposable components. As such, a "razor-and-blades" model that couples the acoustic energy of the SAW on the piezoelectric substrate through a fluid coupling layer and into a low-cost and, hence, disposable silicon superstrate on which various microfluidic processes can be conducted has been proposed. Nevertheless, it was shown that only bulk vibration in the form of Lamb waves can be excited in the superstrate, which is considerably less efficient and flexible in terms of microfluidic functionality compared to its surface counterpart, that is, the SAW. Here, we reveal an extremely simple way that quite unexpectedly and rather nonintuitively allows SAWs to be generated on the superstrate-by coating the superstrate with a thin gold layer. In addition to verifying the existence of the SAW on the coated superstrate, we carry out finite-difference time domain numerical simulations that not only confirm the experimental observations but also facilitate an understanding of the surprising difference that the coating makes. Finally, we elucidate the various power-dependent particle concentration phenomena that can be carried out in a sessile droplet atop the superstrate and show the possibility for simply carrying out rapid and effective microcentrifugation-a process that is considerably more difficult with Lamb wave excitation on the superstrate.
    Matched MeSH terms: Automobile Driving
  18. To reduce or to cease: A systematic review and meta-analysis of quantitative studies on self-regulation of driving
    Ang BH, Oxley JA, Chen WS, Yap KK, Song KP, Lee SWH
    J Safety Res, 2019 09;70:243-251.
    PMID: 31848001 DOI: 10.1016/j.jsr.2019.07.004
    INTRODUCTION: The ability to remain safe behind the wheels can become arduous with aging, yet important for sustaining local travel needs. This review aimed to explore safe mobility issues involving older adults and gain a broad understanding of older drivers' self-regulatory driving practices and motivators behind such behavioral changes, including strategies adopted to reduce or cease driving while maintaining safe mobility.

    METHODS: A systematic literature search was performed on 11 online databases for quantitative studies describing self-regulation of driving amongst older adults aged 60 years and above from database inception until December 2018. Data were described narratively and, where possible, data were pooled using random-effects meta-analysis.

    RESULTS: Of the 1556 studies identified, 54 studies met the inclusion criteria and 46 studies were included in the meta-analyses. All included studies examined car drivers only. Older adults who were single or female were found to be at higher odds of driving cessation. Physical fitness, mental health, social influence, and support systems received by older adults were important driving forces influencing mobility and adjustments made in their travel patterns.

    CONCLUSIONS: Driving self-regulation amongst older adults is a multifaceted decision, impacting mobility and mental health. Therefore, future interventions and support systems should not only create opportunities for retaining mobility for those who have ceased driving, but also promote better psychological and social well-being for regulators and for those who are transitioning from driving to non-driving status. Practical applications: (a) Engage and educate older adults about self-regulation, including strategies that can be adopted and non-car mobility options available. (b) Expand the research focus to explore potential interactions of factors facilitating or hindering the transition process to develop a more comprehensive framework of self-regulation. (c) Encourage ongoing research to formulate, monitor, and evaluate the effectiveness of policies and interventions implemented. (d) Expand the research horizon to explore and understand the perspectives of older adults from developing countries.

    Matched MeSH terms: Automobile Driving*
  19. Trait driving anger and driving styles among Colombian professional drivers
    Useche SA, Cendales B, Alonso F, Montoro L, Pastor JC
    Heliyon, 2019 Aug;5(8):e02259.
    PMID: 31440599 DOI: 10.1016/j.heliyon.2019.e02259
    This study analyzes the association between trait driving anger and driving styles in a sample of Colombian professional drivers. Additionally, the internal and external validity of the Deffenbacher's Driving Anger Scale (DAS-14) was examined in the study population. The DAS-14 and the Spanish Version of the Multidimensional Driving Style Inventory (S-MDSI) were administered to 492 urban bus and taxi operators. Average trait driving anger scores in the study population were similar to those reported in previous validation studies from Spain, Argentina, China, and Malaysia. After deleting three cross-loaded items, confirmatory factor analyses revealed a three-dimensional latent structure for the DAS-14, similar but not equal to the previous Spanish speaking validations. This factorial structure fits the data reasonably well. Finally, linear regression analyses revealed that the three factors of the DAS-14 (impeded progress by others, illegal driving, and direct hostility) significantly predict adaptive and maladaptive driving styles. Overall, the results of this study suggest that the DAS-14 is a reasonably reliable measure of driving anger traits among professional drivers, and it also provides relevant insights for the prevention of risky driving styles in this occupational group.
    Matched MeSH terms: Automobile Driving
  20. Vision-based lane departure warning framework
    Em PP, Hossen J, Fitrian I, Wong EK
    Heliyon, 2019 Aug;5(8):e02169.
    PMID: 31440587 DOI: 10.1016/j.heliyon.2019.e02169
    Collisions arising from lane departures have contributed to traffic accidents causing millions of injuries and tens of thousands of casualties per year worldwide. Many related studies had shown that single vehicle lane departure crashes accounted largely in road traffic deaths that results from drifting out of the roadway. Hence, automotive safety has becoming a concern for the road users as most of the road casualties occurred due to driver's fallacious judgement of vehicle path. This paper proposes a vision-based lane departure warning framework for lane departure detection under daytime and night-time driving environments. The traffic flow and conditions of the road surface for both urban roads and highways in the city of Malacca are analysed in terms of lane detection rate and false positive rate. The proposed vision-based lane departure warning framework includes lane detection followed by a computation of a lateral offset ratio. The lane detection is composed of two stages: pre-processing and detection. In the pre-processing, a colour space conversion, region of interest extraction, and lane marking segmentation are carried out. In the subsequent detection stage, Hough transform is used to detect lanes. Lastly, the lateral offset ratio is computed to yield a lane departure warning based on the detected X-coordinates of the bottom end-points of each lane boundary in the image plane. For lane detection and lane departure detection performance evaluation, real-life datasets for both urban roads and highways in daytime and night-time driving environments, traffic flows, and road surface conditions are considered. The experimental results show that the proposed framework yields satisfactory results. On average, detection rates of 94.71% for lane detection rate and 81.18% for lane departure detection rate were achieved using the proposed frameworks. In addition, benchmark lane marking segmentation methods and Caltech lanes dataset were also considered for comparison evaluation in lane detection. Challenges to lane detection and lane departure detection such as worn lane markings, low illumination, arrow signs, and occluded lane markings are highlighted as the contributors to the false positive rates.
    Matched MeSH terms: Automobile Driving
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