Displaying publications 41 - 60 of 225 in total

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  1. Al-Mekhlafi AA, Isha ASN, Chileshe N, Abdulrab M, Saeed AAH, Kineber AF
    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: Accidents, Traffic*
  2. Hosseinpour M, Sahebi S, Zamzuri ZH, Yahaya AS, Ismail N
    Accid Anal Prev, 2018 Sep;118:277-288.
    PMID: 29861069 DOI: 10.1016/j.aap.2018.05.003
    According to crash configuration and pre-crash conditions, traffic crashes are classified into different collision types. Based on the literature, multi-vehicle crashes, such as head-on, rear-end, and angle crashes, are more frequent than single-vehicle crashes, and most often result in serious consequences. From a methodological point of view, the majority of prior studies focused on multivehicle collisions have employed univariate count models to estimate crash counts separately by collision type. However, univariate models fail to account for correlations which may exist between different collision types. Among others, multivariate Poisson lognormal (MVPLN) model with spatial correlation is a promising multivariate specification because it not only allows for unobserved heterogeneity (extra-Poisson variation) and dependencies between collision types, but also spatial correlation between adjacent sites. However, the MVPLN spatial model has rarely been applied in previous research for simultaneously modelling crash counts by collision type. Therefore, this study aims at utilizing a MVPLN spatial model to estimate crash counts for four different multi-vehicle collision types, including head-on, rear-end, angle, and sideswipe collisions. To investigate the performance of the MVPLN spatial model, a two-stage model and a univariate Poisson lognormal model (UNPLN) spatial model were also developed in this study. Detailed information on roadway characteristics, traffic volume, and crash history were collected on 407 homogeneous segments from Malaysian federal roads. The results indicate that the MVPLN spatial model outperforms the other comparing models in terms of goodness-of-fit measures. The results also show that the inclusion of spatial heterogeneity in the multivariate model significantly improves the model fit, as indicated by the Deviance Information Criterion (DIC). The correlation between crash types is high and positive, implying that the occurrence of a specific collision type is highly associated with the occurrence of other crash types on the same road segment. These results support the utilization of the MVPLN spatial model when predicting crash counts by collision manner. In terms of contributing factors, the results show that distinct crash types are attributed to different subsets of explanatory variables.
    Matched MeSH terms: Accidents, Traffic/statistics & numerical data*
  3. Ramli R, Mohd Yunus SS
    PMID: 32187977 DOI: 10.3390/ijerph17061922
    The child restraint legislation in Malaysia becomes mandatory from 1 January 2020. Prior to commencement of the rule, a survey showed that only 36% of Malaysian parents were aware of the importance of a child restraint system (CRS) and only 27% usage was reported during travel. The Malaysian Institute of Road Safety report showed that children transported in private vehicles were the leading groups of casualties among children aged 1 to 4 years old (43.8%) and 5 to 9 years old (30.2%), respectively. We performed a narrative review using the PubMed, ScienceDirect and Google Scholar databases using keywords such as child restraint system, unrestrained injuries, Malaysia and epidemiology. The objectives of this review were: (1) to determine the prevalence on the use of CRS in Malaysia, (2) to evaluate the injuries related to unrestrained children and (3) to show the nation's preparation towards implementation of the child restraint law. Six papers on prevalence, one paper on injury and six mainstream newspaper were included in this study. The prevalence of a CRS use was shown between 5% to 41.8%. In relation to injury, the only publication from this country showed that among 19 children involved in a car crash, five (26.3%) children had non-craniomaxillofacial (CMF) injuries, ten (52.6%) with CMF injuries only, two (10.5%) with both CMF and non-CMF injuries and two (10.5%) without any injury. Overall, the Injury Severity Score (ISS) range was between 0 to 13 (median, 1.00; interquartile range, 1). Preparation to comply with the best practice of the child restraint law is still ongoing, especially those addressing the issues related to the low-income parents in the country. Due to scarcity of publication and data on the CRS use and injuries related to its non-usage, it is advocated that parallel with the implementation legislation, vigorous forms of public education as well as good data management must be performed and monitored regularly by the road safety authority in this country.
    Matched MeSH terms: Accidents, Traffic*
  4. 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: Accidents, Traffic*
  5. Tian Z, Albakry NS, Du Y
    PLoS One, 2024;19(8):e0308201.
    PMID: 39141655 DOI: 10.1371/journal.pone.0308201
    Nighttime driving presents a critical challenge to road safety due to insufficient lighting and increased risk of driver fatigue. Existing methods for monitoring driver fatigue, mainly focusing on behavioral analysis and biometric monitoring, face significant challenges under low-light conditions. Their effectiveness, especially in dynamic lighting environments, is limited by their dependency on specific environmental conditions and active driver participation, leading to reduced accuracy and practicality in real-world scenarios. This study introduces a novel 'Illumination Intelligent Adaptation and Analysis Framework (IIAAF)', aimed at addressing these limitations and enhancing the accuracy and practicality of driver fatigue monitoring under nighttime low-light conditions. The IIAAF framework employs a multidimensional technology integration, including comprehensive body posture analysis and facial fatigue feature detection, per-pixel dynamic illumination adjustment technology, and a light variation feature learning system based on Convolutional Neural Networks (CNN) and time-series analysis. Through this integrated approach, the framework is capable of accurately capturing subtle fatigue signals in nighttime driving environments and adapting in real-time to rapid changes in lighting conditions. Experimental results on two independent datasets indicate that the IIAAF framework significantly improves the accuracy of fatigue detection under nighttime low-light conditions. This breakthrough not only enhances the effectiveness of driving assistance systems but also provides reliable scientific support for reducing the risk of accidents caused by fatigued driving. These research findings have significant theoretical and practical implications for advancing intelligent driving assistance technology and improving nighttime road safety.
    Matched MeSH terms: Accidents, Traffic/prevention & control
  6. Roehler DR, Ear C, Parker EM, Sem P, Ballesteros MF
    Int J Inj Contr Saf Promot, 2015;22(2):165-71.
    PMID: 24499413 DOI: 10.1080/17457300.2013.876050
    This study examines the risk characteristics of fatal motorcycle crashes in Cambodia over a 5-year period (2007-2011). Secondary data analyses were conducted using the Cambodia Road Crash and Victim Information System, the only comprehensive and integrated road crash surveillance system in the country. Researchers from the Centers for Disease Control and Prevention and Handicap International found that (1) males are dying in motorcycle crashes roughly seven times more frequently than females; (2) motorcyclist fatalities increased by about 30% from 2007 to 2011; (3) the motorcyclist death rates per 100,000 population increased from 7.4 to 8.7 deaths from 2007 to 2011; and (4) speed-related crashes and not wearing motorcycle helmet were commonly reported for motorcyclist fatalities at approximately 50% and over 80% through the study years, respectively. Additionally, this study highlights that Cambodia has the highest motorcycle death rate in South-East Asia, far surpassing Thailand, Malaysia, and Myanmar. By recognising the patterns of fatal motorcycle crashes in Cambodia, local road-safety champions and stakeholders can design targeted interventions and preventative measures to improve road safety among motorcyclists.
    Matched MeSH terms: Accidents, Traffic/mortality*; Accidents, Traffic/trends; Accidents, Traffic/statistics & numerical data
  7. Mohamed N, Mohd-Yusoff MF, Othman I, Zulkipli ZH, Osman MR, Voon WS
    Accid Anal Prev, 2012 Mar;45 Suppl:45-9.
    PMID: 22239931 DOI: 10.1016/j.aap.2011.09.025
    Fatigue-related crashes have long been the topic of discussion and study worldwide. The relationship between fatigue-related crashes and time of day is well documented. In Malaysia, the possibility of banning express buses from operating during the early-hours of the morning has emerged as an important consideration for passenger safety. This paper highlights the findings of an impact assessment study. The study was conducted to determine all possible impacts prior to the government making any decision on the proposed banning. This study is an example of a simple and inexpensive approach that may influence future policy-making process. The impact assessment comprised two major steps. The first step involved profiling existing operation scenarios, gathering information on crashes involving public express buses and stakeholders' views. The second step involved a qualitative impact assessment analysis using all information gathered during the profiling stage to describe the possible impacts. Based on the assessment, the move to ban early-hour operations could possibly result in further negative impacts on the overall road safety agenda. These negative impacts may occur if the fundamental issues, such as driving and working hours, and the need for rest and sleep facilities for drivers, are not addressed. In addition, a safer and more accessible public transportation system as an alternative for those who choose to travel at night would be required. The proposed banning of early-hour operations is also not a feasible solution for sustainability of express bus operations in Malaysia, especially for those operating long journeys. The paper concludes by highlighting the need to design a more holistic approach for preventing fatigue-related crashes involving express buses in Malaysia.
    Matched MeSH terms: Accidents, Traffic/legislation & jurisprudence; Accidents, Traffic/prevention & control*; Accidents, Traffic/statistics & numerical data
  8. Wen APY, Jusoh MH, Saad AZM, Halim AS, Faisham NWIW, Azman WSW
    Arch Plast Surg, 2020 Mar;47(2):182-186.
    PMID: 31462030 DOI: 10.5999/aps.2018.00514
    We report our experience of treating two patients with ankle amputation with different presentations. The first case was a clean-cut sharp amputation. The second case was an avulsion injury following a motor vehicle accident in a patient who arrived 8 hours after the injury. Replantation was successful in both cases. In avulsion injuries, a secondary operation for wound coverage is required at a later stage. With good strategy and a support team, encouraging limb survival outcomes are possible post-replantation.
    Matched MeSH terms: Accidents, Traffic
  9. Sahayadhas A, Sundaraj K, Murugappan M
    Sensors (Basel), 2012 Dec 07;12(12):16937-53.
    PMID: 23223151 DOI: 10.3390/s121216937
    In recent years, driver drowsiness has been one of the major causes of road accidents and can lead to severe physical injuries, deaths and significant economic losses. Statistics indicate the need of a reliable driver drowsiness detection system which could alert the driver before a mishap happens. Researchers have attempted to determine driver drowsiness using the following measures: (1) vehicle-based measures; (2) behavioral measures and (3) physiological measures. A detailed review on these measures will provide insight on the present systems, issues associated with them and the enhancements that need to be done to make a robust system. In this paper, we review these three measures as to the sensors used and discuss the advantages and limitations of each. The various ways through which drowsiness has been experimentally manipulated is also discussed. We conclude that by designing a hybrid drowsiness detection system that combines non-intrusive physiological measures with other measures one would accurately determine the drowsiness level of a driver. A number of road accidents might then be avoided if an alert is sent to a driver that is deemed drowsy.
    Matched MeSH terms: Accidents, Traffic
  10. Radhiana Hassan, Muniruddin Mohamad, Muhamad Zaim Azami, Husin Ali, Hafizah Pasi
    MyJurnal
    Traumatic brain injury following road traffic accidents is a common cause
    of morbidity and mortality in Malaysia. We aim to determine the differences of traumatic
    brain injury patterns based on CT findings among motorcyclist versus passenger vehicle
    patients involved in road traffic accidents. (Copied from article).
    Matched MeSH terms: Accidents, Traffic
  11. Mohd Hafzi, M.I., Baba, M.D., Mohd Radzi, A.M., Zulhaidi, M.J., Khairil Anwar, A.K.
    MyJurnal
    Lane Change Assistance (LCA) system in cars can potentially mitigate blind spot related crashes; but its effectiveness
    largely depends on driver acceptance and proper use. Although still in early stages, the volume of cars equipped with
    LCA system is expected torise in the near future as the technology has been considered in the New Car Assessment
    Program for Southeast Asian Countries (ASEAN NCAP) 2017 Rating Scheme. Therefore, this study is initiated to assess
    user acceptance of and experience with LCA-equipped cars. Self-administered questionnaires were distributed to
    owners of LCA-equipped cars at selected service centres in the Klang Valley from November 2016 to February 2017.
    From a total of 276 valid responses, results revealed that most owners greatly considered LCA system when
    purchasing their cars and agreed that the systems had positively altered their driving behaviours i.e. regularly using
    the turn signal and checking the side mirrors. Nevertheless, about 20% of the respondents stated theirannoyance and
    distraction by the LCA systems due to unnecessary warnings from various sources, aside from getting too many
    warnings during traffic congestion. The study findings provide some practical implications that can aid the industry
    and relevant stakeholders in gauging the issue and actual situations concerning the use of LCA system in Malaysia.
    Matched MeSH terms: Accidents, Traffic
  12. Shahrom AW, Md Azman AB, Hasnah H, Md Yusof M
    Family Physician, 1991;3:28-29.
    Blood alcohol levels from 155 UKM forensic postmortem cases of various causes of death from August 1988 to mid-September 1989 were studied. 59 cases (38%) were related to fatal road traffic accidents. 13 of these 59 cases (22%) showed blood alcohol levels of more than 50 mg/dl. 11 of these 13 cases (84.6%) revealed blood alcohol levels of more than 100 mg/dl after correction. Further analysis showed 53.8% were Indian, 76.9% aged between 20 and 40 years, 84.6% of the accidents occurred between 8.00 p.m. and 4.00 a.m. and all the alcohol related fatal road traffic accident victims studied in this series were males. This study provides helpful information.
    Matched MeSH terms: Accidents, Traffic
  13. 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: Accidents, Traffic
  14. Rahman NH, Baharuddin KA, Mohamad SM
    Int J Emerg Med, 2015;8:17.
    PMID: 26085844 DOI: 10.1186/s12245-015-0065-4
    Road traffic injury (RTI) contributes to major morbidity and mortality in both developed and developing countries. Most of the injuries are caused by road-related injuries that specifically relate to motorcycle crash. We attempted to conduct a short survey to determine the magnitude of burden related to motorcycle-related RTIs in Malaysia. We hypothesize that motorcycle-related RTI in Malaysia contributes significantly to the health burden in the country.
    Matched MeSH terms: Accidents, Traffic
  15. Chew KS, Low MY
    Med J Malaysia, 2022 Jan;77(1):60-70.
    PMID: 35086996
    BACKGROUND: A scoping review was conducted to map out the common research focusses on ambulance accidents, their key findings and some of the major knowledge gaps in this area.

    MATERIALS AND METHODS: Relevant, peer-reviewed, Englishlanguage articles on land ambulance accidents were independently searched by the authors using the MEDLINE and CINAHL databases. Anecdotal reports, testimonies and stories in trade or popular magazines and other grey literature were excluded. Articles that do not directly address ambulance accidents were also excluded. Additional articles were identified from the reference lists of the selected articles and from Google search engine.

    RESULTS: From an initial yield of 879 articles, 19 articles were included. Most of these articles were published from 2001 - 2005 (5 articles, 26.3%) and 2006 - 2010 (5 articles, 26.3%). Eighteen articles (78.3%) are original articles (18 articles, 78.3%) and another one article is a review article. Most of these articles focused on (1) the types of collisions and (2) the risk factors of ambulance accidents. Nine risk factors were identified to have contributed to ambulance accidents: (1) driving in urban areas (2) driving on dry road (3) the use of lights & sirens (4) the failure to use restraints (5) driving for emergency use (6) back seating (7) at road intersection (8) driver's previous records of accidents and (9) interfacility transfer. The two most common risk factors studied were (1) the use of lights & sirens and (2) driving at intersection.

    CONCLUSIONS: Most of the above risk factors can be mapped into three categories of risk factors: task-related factors, vehicle-related factors and environment-related factors. The category of risk factors least studied is the category of driver-related factors.

    Matched MeSH terms: Accidents, Traffic
  16. Haque MO
    Int J Inj Contr Saf Promot, 2011 Mar;18(1):45-55.
    PMID: 21409677 DOI: 10.1080/17457300.2010.517319
    In this article, we have investigated the pattern of road fatality in Brunei. It is seen from this analysis that road fatality in Brunei was one of the highest in the world in the early 1990s, but has been significantly reduced over the years, and is now one of the lowest in the world. Preliminary investigation shows that young male drivers are responsible for most road fatalities in Brunei. We have also fitted a linear regression model and found that road fatality is significantly positively related to people aged 18-24 years and new registered vehicles, both of which are expected to grow with the growth of population and economic development. Hence, road fatality in Brunei is also expected to grow unless additional effective road safety countermeasures are introduced and implemented to reduce road toll. Negative coefficient is observed for trend variable, indicating the reduction of road fatality due to the combined effects of improvements of vehicle safety, road design, medical facilities and road safety awareness among road user groups. However, short-term road fatality analysis based on monthly data indicates that the coefficient of the trend variable is positive, implying that in recent months road fatalities are increasing in Brunei, which is supported by media reports. We have compared Brunei's road fatality data with Australia, Singapore and Malaysia and found that Brunei's road fatality rate is lower than Singapore and Malaysia, but higher than Australia. This indicates that there are still opportunities to reduce road fatalities in Brunei if additional effective road safety strategies are implemented like in Australia without interfering in the economic and social development of Brunei.
    Matched MeSH terms: Accidents, Traffic/mortality*; Accidents, Traffic/statistics & numerical data
  17. Law TH, Umar RS, Zulkaurnain S, Kulanthayan S
    Int J Inj Contr Saf Promot, 2005 Mar;12(1):9-21.
    PMID: 15814371
    In 1997, a Motorcycle Safety Programme (MSP) was introduced to address the motorcycle-related accident problem. The MSP was specifically targeted at motorcyclists. In addition to the MSP, the recent economic recession has significantly contributed to a reduction of traffic-related incidents. This paper examines the effects of the recent economic crisis and the MSP on motorcycle-related accidents, casualties and fatalities in Malaysia. The autocorrelation integrated moving average model with transfer function was used to evaluate the overall effects of the interventions. The variables used in developing the model were gross domestic product and MSPs. The analysis found a 25% reduction in the number of motorcycle-related accidents, a 27% reduction in motorcycle casualties and a 38% reduction in motorcycle fatalities after the implementation of MSP. Findings indicate that the MSP has been one of the effective measures in reducing motorcycle safety problems in Malaysia. Apart from that, the performance of the country's economy was also found to be significant in explaining the number of motorcycle-related accidents, casualties and fatalities in Malaysia.
    Matched MeSH terms: Accidents, Traffic/mortality*; Accidents, Traffic/prevention & control
  18. Krishnan R
    World Health Forum, 1992;13(2-3):163-4.
    PMID: 1418328
    Matched MeSH terms: Accidents, Traffic/mortality; Accidents, Traffic/prevention & control*
  19. Tan Chor Lip H, Tan JH, Mohamad Y, Ariffin AC, Imran R, Azmah Tuan Mat TN
    Chin J Traumatol, 2019 Apr;22(2):69-74.
    PMID: 30583984 DOI: 10.1016/j.cjtee.2018.11.001
    PURPOSE: Amongst the ASEAN countries, Malaysia has the highest road fatality risk (>15 fatalities per 100 000 population) with 50% of these fatalities involving motorcyclist. This contributes greatly to ward admissions and poses a significant burden to the general surgery services. From mild rib fractures to severe intra-abdominal exsanguinations, the spectrum of cases managed by surgeons resulting from motorcycle accidents is extensive. The objective of this study is to report the clinical characteristics and identify predictors of death in motorcycle traumatic injuries from a Malaysian trauma surgery centre.

    METHODS: This is a prospective cross-sectional study of all injured motorcyclists and pillion riders that were admitted to Hospital Sultanah Aminah and treated by the trauma surgery team from May 2011 to February 2015. Only injured motorcyclists and pillion riders were included in this study. Patient demography and predictors leading to mortality were identified. Significant predictors on univariate analysis were further analysed with multivariate analysis.

    RESULTS: We included 1653 patients with a mean age of (35 ± 16.17) years that were treated for traumatic injuries due to motorcycle accidents. The mortality rate was 8.6% (142) with equal amount of motorcycle riders (788) and pillion riders (865) that were injured. Amongst the injured were male predominant (1 537) and majority of ethnic groups were the Malays (897) and Chinese (350). Severity of injury was reflected with a mean Revised Trauma Score (RTS) of 7.31 ± 1.29, New Injury Severity Score (NISS) of 19.84 ± 13.84 and Trauma and Injury Severity Score (TRISS) of 0.91 ± 0.15. Univariate and multivariate analysis revealed that age≥35, lower GCS, head injuries, chest injuries, liver injuries, and small bowel injuries were significant predictors of motorcycle trauma related deaths with p 

    Matched MeSH terms: Accidents, Traffic/mortality*; Accidents, Traffic/statistics & numerical data*
  20. Lee YM, Sheppard E
    Accid Anal Prev, 2016 Oct;95(Pt A):202-8.
    PMID: 27450792 DOI: 10.1016/j.aap.2016.07.011
    Failure in making the correct judgment about the intention of an approaching vehicle at a junction could lead to a collision. This paper investigated the impact of dynamic information on drivers' judgments about the intentions of approaching cars and motorcycles, and whether a valid or invalid signal was provided was also manipulated. Participants were presented with videoclips of vehicles approaching a junction which terminated immediately before the vehicle made any manoeuvre, or images of the final frame of each video. They were asked to judge whether or not the vehicle would turn. Drivers were better in judging the manoeuvre of approaching vehicles in dynamic than static stimuli, for both vehicle types. Drivers were better in judging the manoeuvre of cars than motorcycles for videos, but not for photographs. Drivers were also better in judging the manoeuvre of approaching vehicles when a valid signal was provided than an invalid signal, demonstrating the importance of providing a valid signal while driving. However, drivers were still somewhat successful in their judgments in most of the conditions with an invalid signal, suggesting that drivers were able to focus on other cues to intention. Finally, given that dynamic stimuli more closely reflect the demands of real-life driving there may be a need for drivers to adopt a more cautious approach while inferring a motorcyclist's intentions.
    Matched MeSH terms: Accidents, Traffic/prevention & control*; Accidents, Traffic/psychology*
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