Occurrence Of Road Traffic Accidents Research Articles

Review of Road Traffic Accident Burdens in Transportation Sector of Ethiopia

The transportation sector has a very immense role in the economic development of a given country. Because human beings' day-to-day activities re highly depends on the transport service. But this sector has its own drawbacks, like road traffic crashes and environmental pollution. In Ethiopia, the road transport sector is poor in terms of quality and service delivery systems. Due to this, the frequent occurrence of road traffic crashes has been recorded in the country continuously. To that end, this paper was mainly intended to review road traffic accident burdens in the transportation sector of Ethiopia. In detail, reviewing the costs of road traffic accidents, the causing factors of road traffic accidents, the types of vehicles highly involved in road traffic accidents, and the victim groups of communities affected by road traffic accidents at the national level were the specific objectives of this paper. Meanwhile, all road traffic accident data found in Ethiopia from the federal police commission report papers, journal articles, and dissertation papers were used for analysis purposes. Besides, the collected data is presented in tables and figures. Furthermore, the data was analyzed and interpreted based on a descriptive research design. Finally, the result of this review shows that trends of road traffic accidents in Ethiopia have been increasing over time by killing, injuring people and damaging resources. Drivers’ bad behaviors, low know-how of road users, poor road infrastructure, old vehicle conditions, and environmental factors are aggravating the occurrence of road traffic accidents in the country. Thus, to tackle this problem, educating people, enforcing traffic laws, enhancing engineering measures, and giving emergency responses were the recommendations given in this paper.

Perception of drivers toward road safety and factors that cause road accidents in Riyadh city of Saudi Arabia

Injury as a result of road traffic accidents (RTA) is one of the leading causes of death and disability-adjusted life years. Strategies to handle this major public health problem, which has significant consequences for the Saudi economy and families, have been underway for many years but with very little success. This study’s main aim is to determine respondents’ perceptions of traffic safety and the factors that lead to road traffic accidents. It is a cross-sectional study conducted on randomly selected university students, faculty drivers, and visitors using King Saud University’s parking facility. Data were collected from 381 drivers using a pretested questionnaire, which comprises questions intended to attain the study’s objectives. The critical factors affecting traffic safety are public information followed by road maintenance, Garage, vehicle inspection, Road design and equipment, Training of drivers, Sanctions and Police enforcement, Protective devices and vehicle design, and post-accidental care. Road traffic accidents were found to be 39.0% with respondents aged less than 20 years, followed by ages between 20–35 years, which was 34.8%, and only 2.4% above 50 years. The most frequent occurrence of road traffic accidents was angle collision (39.0%) and back collision (18.9%), followed by hitting a fixed object (17.7%). Distraction habits during driving include cell phone usage (56.7%), followed by smoking (24.4%), and eating and drinking (18.9%) while driving. The most common traffic violations were increased speed limit (48.1) and loss of driving license (11.8%). The most common injuries were head (39.0%) and limbs (22.0%). A significant association between drivers’ age during the accident and distraction habits has been found (p < 0.000). The study demonstrated that drinking/eating, cell phone use, and violation of traffic rules are significant reasons for RTA. The findings of this study will contribute to a more comprehensive knowledge of road traffic accidents for the formation of effective strategies and evidence-based policies for the prevention of accidents.

Pemodelan Kondisi Geometrik Jalan Terhadap Potensi Kecelakaan Lalu Lintas

Road infrastructure has an impact on the occurrence of road traffic accidents. The geometry of a road is a variable that influences the occurrence of road traffic accidents. Interpreting the observed crashes into an equation that can describe the crashes is one of the most difficult problems faced by scientists and engineers in any research. The traffic accident research conducted is still limited to analyzing the causes of accidents and jumping to handling strategies that do not reveal how much geometric influence on accidents at the location. This research was developed using a comprehensive modeling approach to illustrate how highway geometric design, in this case the alignment, influences crash rates. This study aims to analyze the influence of road geometrics on the incidence of accidents. The method used is multiple liner regression measurement model using R-Studio. The variables to be studied include road geometry planning parameters, especially horizontal alignments which include stopping sight distance (X1), radius of horizontal curve (X2), shoulder width X3, and transition curve length (X4). The results of the study obtained a relationship in the mathematical equation Y = 99.55508-0.02634X1+1.17647X2-0.06999X3-0.03906X4 with the most significant correlation value produced is the transition curve length and radius of horizontal curve. Based on the multiple R-squareed value of 0.8775 this model has a very strong correlation category. Where the ability of X1 to X4 is able to explain Y by 80%.

Prevalence of road traffic accidents during the COVID-19 pandemic: A systematic review and meta-analysis

Introduction: At the beginning of the novel coronavirus disease COVID-19 pandemic, many countries around the world closed their centers and imposed restrictions on urban and interurban traffic. This situation had a significant impact on the occurrence of road traffic accidents. The present systematic review aimed to determine the prevalence of road accidents during the COVID-19 implemented lockdowns. Methods: This systematic review and meta-analysis were conducted based on the Joanna Briggs Institute (JBI) instructions. Two independent reviewers screened articles based on the inclusion criteria for the review and eligible studies for methodological quality using an appropriate appraisal checklist based on the study type. The statistical analysis was performed using the Comprehensive Meta-Analysis (CMA) software. Considering the heterogeneity among studies, a random effect model was adopted to estimate the pooled effect with 95% CI for binary outcomes. Results: The initial search of databases yielded 849 potentially relevant articles, of which, 44 studies were included in this systematic review and of them, 36 were considered for metaanalysis. The random effect model showed an overall prevalence of injury before the lockdown of 24.9% (95% confidence interval: 20.0%-30.5%). Also, the prevalence of injury during the COVID-19 lockdown was 18.8% (95% CI: 14.7%-23.6%). Begg and Mazumdar’s correlation found no publication bias in the meta-analysis. Conclusion: Road traffic injuries, as one of the main causes of death worldwide, took on a new face with the advent of COVID-19. We have found that there is a relatively high prevalence of road traffic accidents before COVID-19 compared to pandemic period.

Road traffic mortality in Zunyi city, China: A 10 – year data analysis (2013–2022)

PurposeThe study aimed to examine the pattern of motorization and the mortality rate related to road traffic crashes in Zunyi (a city in northern Guizhou province of China) from 2013 to 2022, and to identify the epidemiological characteristics of these crashes with to provide insights that could help improve road safety. MethodsData were obtained from the Zunyi traffic management data platform, and the mortality rates were calculated. We deployed various analytical methods, including descriptive analysis, Chi-square test or Fisher's exact test of categorical variable, circular distribution map analysis, and Rayleigh test to characterize the traits of road traffic crashes in the region. ResultsDuring the 10-year study period, 7488 people died due to road traffic accidents, with males accounting for 70.4% and females 29.6% (χ2 = 101.97, p < 0.001). The mortality rate increased from 7.80 deaths per 100,000 people in 2013 to 10.70 deaths per 100,000 people in 2016, but then decreased to 9.54 deaths per 100,000 people in 2019. A notable finding was that the death rate per 10,000 vehicles declined from 16.09 deaths per 10,000 vehicles in 2013 to 5.48 deaths per 10,000 vehicles in 2022. The study also found that vulnerable road users represented nearly half (48.76%) of all accident fatalities, and unlicensed or inexperienced driving contributed significantly to the occurrence of road traffic accidents. ConclusionAlthough the number of road traffic accidents in Zunyi has decreased, there are still some critical issues that need to be addressed, particularly for vulnerable road users and unlicensed drivers. Our results highlight the need of targeted interventions to address the specific risk factors of road traffic crashes, particularly those affecting vulnerable road users and drivers without sufficient experience or license.

Analysis of factors contributing to road fatalities in the Emfuleni local Municipality, South Africa

The objective of this study is to examine and analyze the many factors that contribute to the occurrence of automobile deaths within the Emfuleni Local Municipality. This study employed a hybrid analytics approach, employing a non-probability convenience sampling strategy. The researchers employed a descriptive study methodology to gather a sample of 168 participants, consisting of both traffic cops and motorists. The primary outcomes of the investigation revealed that road configuration, including small roads, hills, and sharp curves, was one of several influential elements in the occurrence of road traffic accidents (RTA). The dataset under analysis reveals that a substantial proportion of respondents possessing a standard 10/matric/grade 12 certificate had a higher level of agreement compared to those with a diploma/bachelor's degree about the primary responsibility of road layout in road traffic accidents (RTAs). The majority of participants identified stray or wild animals as a significant contributing cause to road accidents. Notably, female respondents and motorists residing in Emfuleni Municipality exhibited the highest level of agreement on this matter. Another significant contributing element was the presence of malfunctioning traffic signals, which was widely acknowledged as a causative factor in road collisions. The majority of respondents who possessed a standard 10/matric/grade 12 education exhibited the highest level of agreement. The results ultimately demonstrated that a majority of the participants concurred that a significant portion of the drivers and automobiles present on the road were not suitable for sharing the roads with other drivers, leading to the elevated occurrence of road traffic fatalities. The present circumstance necessitates prompt attention. Suggestions were proposed to provide assistance to the pertinent parties.

TO EVALUATE THE VARIOUS RISK FACTORS RESPONSIBLE FOR ROAD TRAFFIC ACCIDENTS IN PUNJAB – A DESCRIPTIVE STUDY

Objective: Evidence from research suggests that human factors and the road environment are among the most frequent contributors to the occurrence of road traffic accidents (RTAs). Hence, traffic rule and various policies, alike have strengthened their efforts to cope with this public health burden. Yet, still little is known about the factors contributing to the high number of RTAs. In this study, we tried to find out the various risk factors responsible for road accidents in the Punjab region. Methods: The present study was conducted in Guru Nanak Dev Hospital, Amritsar, involving 1425 patients who were admitted to the Emergency Department from January 1st, 2012, to December 31st, 2012, due to injuries in RTAs. Results: In our study, it seems that most of the cases were in the age group of 15–44 years. In all the age groups, males were the predominant victims with male-to-female ratio of 5.72:1. Majority of cases belonged to an upper–lower socioeconomic group, according to the Kuppuswamy scale and the major proportion of accidents occurred during the morning and evening busy hours of the day hours. Out of a total of 893 drivers, 858 (96.08%) had no knowledge about the speed limit prescribed for the road or speed. Conclusion: There appears to be a large number of behavioral issues and a lack of knowledge that contributes significantly to the road accident rates in the Indian states. Hence, there is a need for policy intervention. Most effective measures used to reduce the number of accidents, in descending order of magnitude, are how strictly the traffic police enforce the law, more levels of penalties, and more traffic police, including more speed measuring devices.

Effect of Human Factors on Road Traffic Accidents (RTAs): The Case of Hawassa City, SNRS, Ethiopia

This paper discusses the effects of human factors on RTAs in Hawassa city. The research intended to attain two specific objectives - first, to examine the human errors that obstruct road traffic safety, and second, to the significant human factors contributing to road traffic accidents (RTAs). The research has used qualitative and quantitative approaches to provide a variety of perspectives that can be studied. Simple descriptive analyses (mean, standard deviation, and percentage) using tables, graphs, and figures were conducted to analyze human factors' effect on road traffic accidents (RTAs) in the study area. Road traffic safety and improper utility and road use are considered factors affecting road traffic safety. The statistical analysis and result revealed that independent variables (speedy driving, drunken driving, distracted driving, road users neglecting) have a moderate correlation. However, they have a moderate, strong, and very strong relationship to the dependent variable, i.e., road traffic safety. In order to identify the main human factor contributing to road traffic accidents (RTAs), an analysis carried out by multiple linear regression analysis discovered four factors (independent variables) that significantly increase the risk of road traffic accidents (RTAs). Therefore, human factors have been identified to account for the occurrence of road traffic accidents (RTAs).

Predicting the impact on road safety of an intersection AEB at urban intersections. Using a novel virtual test field for the assessment of conflict prevention between cyclists/pedelecs and cars

With the rise of Advanced Driver Assistant Systems (ADAS) and the introduction of Highly Automated Driving (HAD), understanding and predicting road traffic accidents becomes increasingly important. Especially for the assessment of HAD/ADAS systems and of road safety, the precise prediction of the system’s impact on the occurrence of road traffic accidents is essential.Traffic simulations, as one option of virtual assessment, enable the assessment of safety systems in virtual test fields. By modelling the human driver, it is possible to simulate and predict future accident constellations and accident severities. In addition, the influence of vehicle factors, such as the presence of safety systems or their characteristics, on the occurrence of accidents can be investigated.This article elucidate virtual assessment by executing the whole procedure for an automatic emergency braking (AEB) system capable to detect cyclists at urban intersections. The authors implement a new driver behaviour model (DReaM) to predict road traffic accidents at urban intersections. Using the AEB as an example, the influence of different sensor opening angles on crash frequency is investigated by varying the sensors in three steps: 100°, 180°, and 210°. A total of 240,000 situations are simulated of which 6,674 are crashes. Within the two investigation scenarios, the crash frequency is reduced by up to 88.43%, or 93.92% by introducing the AEB system.The article shows that virtual assessment enables the prediction of new safety systems regarding road safety at early design stages. In addition, different system characteristics can be compared efficiently, e.g., the sensor opening angle.

Fully protected and secure smart vehicle

Security while traveling is a primary concern for everyone. The purpose of this paper is to find a solution to reduce the annual occurrence of road traffic accidents, which are one of the main causes of death. Designing vehicles with sensors based on microcontrollers could be a solution to achieve this goal. These sensors are made up of tiny devices that work in such a way as to determine the parameters of the vehicle. The ultrasonic sensors will be able to help the driver to drive the vehicle in foggy conditions and prevent frontal collision with the last moment emergency braking system. The vibration detector is used to detect the annoying vibrations of the vehicle. For example, if the vehicle suspension is loose and needs maintenance, it is detected by the vibration sensor. The overheating of electric vehicle motors and batteries causes them to ignite, so flame sensors are also used, and these signals are sent to the microcontroller, which analyses the signals and generates message signals accordingly. If any accident occurs, the vibration detector and the ADXL collision detector will detect the accident and send a signal to the microcontroller. The microcontroller will get the location of the vehicle via NEO 6M Global Positioning System (GPS) and automatically send the message signal via SIM 900A General Packet Radio Services (GPRS) cellular communication system to the nearest police station and hospital for ambulance service. This system not only tries to prevent traffic accidents but also helps to get treatment facilities as quickly as possible. This function can be implemented in any type of vehicle.

Refractive errors, road traffic accidents and long-term spectacle compliance amongst commercial taxi drivers in a major North-East Indian city.

Purpose:To assess the prevalence of refractive error (RE) and its association with road traffic accidents (RTAs) and the subsequent long-term spectacle compliance and adherence to suggested appropriate strategies In Shillong, India.Methods:This prospective study was conducted between July and October 2019 among commercial taxi drivers (CTDs), with follow-up interviews conducted with a subset of respondents to assess long-term spectacle compliance after a year. Gross ophthalmologic examination was performed, including visual acuity and refraction. Descriptive statistics and Chi-square tests were conducted to assess the association between the type of REs, spectacle compliance, and selected sociodemographic and clinical variables. Multiple logistic regression was performed for analysis of the association between RTAs and sociodemographic, clinical, and work characteristics variables.Results:A total of 382 (95.5%) CTDs completed interviews and gross eye examination. The prevalence of any RE in the worst eye was 28.8% (95% CI: 24.3–33.6). Presbyopia with or without distance vision was the commonest type of RE with 21.7% (95% CI: 17.7%–26.2). Among those who were prescribed spectacles, 70.5% needed near correction. Drivers with RE were nearly two times (OR: 2.6; 95% CI: 1.4–5.1) more likely to be involved in RTAs compared to those without any RE. Long-term spectacle compliance was at 40.9%. The predominant barrier reported for spectacle compliance was “can manage well without spectacles.”Conclusion:This survey has demonstrated a significant relationship between poor vision and occurrence of RTAs. There is an urgent need for tailor-made targeted interventions to address the eye health needs of CTDs in India.

Adolescent Riding Behavior During the COVID-19 Pandemic in Urban Area, Indonesia: A Cross-sectional Study.

According to police reported crash, in 2020 there have been 510 road traffic accidents among adolescents aged 16-25 years. The problem is that although restrictions on social activities have been implemented, 9.80% of accidents have caused deaths in Semarang City. There were many factors that influence the occurrence of road traffic accidents; one of those is the poor knowledge about safe riding behavior. The aim of this study is to determine the factors that contribute to the occurrence of road traffic accidents in adolescents during the pandemic. This was a cross-sectional study, collected data using an online questionnaire distributed to adolescents aged 15-20 years in Semarang City, Indonesia. It was distributed during February-April 2021. The data included participant's demographic information, riding behavior, and knowledge about safe riding. We analyzed using chi-square and logistic regression to determine the most influential factors. The sample included 725 participants with a mean age of 17.4 years (SD=0.97); 260 (35.9%) males. We have found that gender was associated with the incidence of road traffic accidents (AOR=1.455, 95% CI [1.048-2.020], P=0.025) after adjusting for experience road safety education, vehicle type, and knowledge of safe riding. It is necessary to carry out Road Safety Education efforts to male students during the pandemic to reduce the incidence of traffic accidents.

Real-time lane detection model based on non bottleneck skip residual connections and attention pyramids.

The security of car driving is of interest due to the growing number of motor vehicles and frequent occurrence of road traffic accidents, and the combination of advanced driving assistance system (ADAS) and vehicle-road cooperation can prevent more than 90% of traffic accidents. Lane detection, as a vital part of ADAS, has poor real-time performance and accuracy in multiple scenarios, such as road damage, light changes, and traffic jams. Moreover, the sparse pixels of lane lines on the road pose a tremendous challenge to the task of lane line detection. In this study, we propose a model that fuses non bottleneck skip residual connections and an improved attention pyramid (IAP) to effectively obtain contextual information about real-time scenes and improve the robustness and real-time performance of current lane detection models. The proposed model modifies the efficient residual factorized pyramid scene parsing network (ERF-PSPNet) and utilizes skip residual connections in non bottleneck-1D modules. A decoder with an IAP provides high-level feature maps with pixel-level attention. We add an auxiliary segmenter and a lane predictor side-by-side after the encoder, the former for lane prediction and the latter to assist with semantic segmentation for classification purposes, as well as to solve the gradient disappearance problem. On the CULane dataset, the F1 metric reaches 92.20% in the normal scenario, and the F1 metric of the model is higher than the F1 metrics of other existing models, such as ERFNet-HESA, ENet_LGAD, and DSB+LDCDI, in normal, crowded, night, dazzling light and no line scenarios; in addition, the mean F1 of the nine scenarios reached 74.10%, the runtime (time taken to test 100 images) of the model was 5.88 ms, and the number of parameters was 2.31M, which means that the model achieves a good trade-off between real-time performance and accuracy compared to the current best results (i.e., a running time of 13.4 ms and 0.98M parameters).

Visual Function of Drivers and its Relation to the Occurrence of Road Traffic Accidents in Saudi Arabia

BACKGROUND: The mortality rate due to road traffic accidents (RTA) is significantly high in Saudi Arabia (SA) compared to other countries. The visual function which includes good visual acuity (VA) and binocular vision are very important factors that can contribute to the incidence of RTA. AIM: The aim of this study is to investigate the association between refractive errors (REs) and the RTA in SA. METHODS: A total of 354 participants (mean age 22.67 ± 3.22 years) were recruited randomly to participate in this study from the population of Qassim district. Data collected using the questionnaire included participants’ age, sex, and education level, ocular and medical history, driving history as well as history of RTA. Ocular health examination including VA, RE measurements, and binocular vision function vision was measured and analyzed. RESULTS: The results of this study show that 48.3% of drivers had some form of REs with 3.4% being visually impaired. 217 (61.3%) of participants have had an RTA, and 119 (54.9%) of them have had more than two accidents in the past two years. The findings show no significant association between the occurrence of RTA and uncorrected REs or binocular vision dysfunction. CONCLUSION: Our data showed significantly higher rate of RTA among Saudi drivers which is much higher than any country in the world. The current Saudi regulations for obtaining driving license need to be modified, with implementing a comprehensive eye examination prior to acquiring or renewing drivers’ licenses.

SOME TRAFFIC SAFETY ISSUES AT UNREGULATED PEDESTRIAN CROSSINGS IN THE CITY

The groups of participants of the pedestrian and automobile flows, whose actions cause the greatest danger to the occurrence of conflict situations in the zone of unregulated transition, are identified. The factors determining the likelihood of a traffic accident at an unregulated transition are systematized, for which probability estimates of the occurrence of road traffic accidents are calculated. As an estimated parameter, the hazard coefficient of a conflict point of an unregulated transition is proposed, which is determined by the ratio of the probability of a traffic accident in the real-time hourly interval to the average annual probability of a traffic accident reduced to the hourly interval. The dependences of the hazard ratio of an unregulated transition are established on the most significant factors: the speed mode of transport in the area before the transition and the state of the road surface.

Оценка влияния изменений, вносимых в конструкцию транспортных средств, находящихся в эксплуатации, на безопасность дорожного движения

The article discusses the procedure for conducting a preliminary technical examination of the design of vehicles in operation, in terms of assessing the impact of changes introduced into the vehicle design on road safety. The authors propose a classification of changes introduced into the design of vehicles according to changing design characteristics. Based on the proposed classification, an assessment is made of the impact of changes introduced into the design of vehicles on road safety, as well as on the probability of occurrence of road traffic accidents in the event of introducing a change into the corresponding classification characteristics.

Analytical Hierarchy Process Method Based Analysis on Road Safety Inspection at Metu - Yayo Road Segment

Now days road safety becomes a worldwide concern. Similarly Road safety risk has been a major issue in the study area (Metu- Yayo road segment). The successful assessments of road safety inspection within the study area are very essential to minimize future road accidents faced by the entire road user. The study were started by examining the current condition of the road using road safety inspection manual then it used focus group judgments and it is analyzed by analytical hierarchical process method based pairwise comparison in identification of contributing factors for the road safety risk using two levels of Analytical Hierarchical process, and four major factors i.e. pavement surface condition, road geometry condition, road side environment condition, road traffic control condition, and also it tries to prioritize the road section to identify the road with better facilities and the road in the worst condition. During road safety inspection in the study area the road experience early stages of pavement distresses, road traffic sign related problems, sight distance obstruction, and soil slide related problems this in turn speeds up the road safety risk and increases the occurrence of road traffic accidents. As a result, this study concluded, road traffic control factors were the most significant factors which contributes to the occurrences of road safety risk. In comparison, Lakosaya to Yayo road section is the found in a better condition, but the road section from Mechi to Lakosaya is found in worse condition in the study area.

Анализ существующих методов оценки вероятности возникновения ДТП на участках улично-дорожной сети города

The article presents the analysis results of the existing methods of estimating the probability of occurrence of road traffic accidents on the city's road network (CRN), namely, the ultimate accident incidence rate method, statistical method and dynamic method. The analysis of each method on the example of the urban agglomeration sections of Belgorod allows selecting the most effective method for a specific section of the road network, depending on the parameters of this section.

Geographical Analysis and Mapping of Road Traffic Accident Occurrence and Severity in Nigeria

The advantage of automobile transportation does not overcome its shortcomings. Foremost among these is road traffic accident which is serious cause of death in the whole world today. This study examined and mapped rate of reported cases of road accidents across the 36 States and the federal capital of Nigeria between 2013 and 2015. Data acquired from Federal Bureau of Statistics was analysed using descriptive and inferential statistical methods. Bar charts, graphs, dot map and thematic map were prepared to depict the spatial distribution of the occurrences and fatality classification while regression analysis was used to predict the future situation of road accident in Nigeria. Results showed that; highest rate of accidents 36.9% occurred in the year 2013 with 5,539 deaths. Ogun State recorded highest number of accidents with 9.7% in 2013, Lagos State with 15.4% in 2014 and Ogun State with 6.1% in 2015 which can be attributed to the strategic position of these two States as the gate ways to Nigeria economy. The regression result shows the strong positive relationship between numbers of recorded cases of road accident and death from road traffic accident with regression R value of 0.78 and R² of 0.61 respectively.

Visual health status and its relationship with road traffic accidents amongst Nigerian vehicle drivers: A publication of the Nigerian Optometric Association

Background: A driver’s vision is an important human factor necessary for safe driving. Aim: The aim of this study was to determine the functional vision status of drivers in Nigeria and to establish its relationship with road traffic accidents (RTAs). Setting: Designated road lay-bys and motor parks in Nigeria. Methods: A cross-sectional study design was used for this study, with a sample size of 3521 vehicle drivers. Twenty-seven states and the Federal Capital Territory Abuja participated in the study. Participating drivers were interviewed, and clinical eye examinations were conducted by a team of optometrists at designated Federal Road Safety Commission road checkpoints and motor parks in the country. Results: The mean age of the drivers was 46.3 ± 10.9 years. Of the 3500 participants, 3080 (88%) were men and 2780 (79.4%) had a driving licence. The percentage of drivers who underwent an eye test before being issued a licence was generally low (median, 43.5%). A history of RTA was reported by 8.3% of the drivers. The prevalence of visual impairment was observed amongst 7.5% of drivers (95% confidence interval [CI], 6.6% – 8.5%), whilst the prevalence amongst private drivers was 6.1% (95% CI, 4.6% – 7.9%). Drivers with visual impairment were nearly two times (adjusted odds ratio, 1.7; 95% CI, 1.06–2.77) more likely to be involved in RTA compared to those without impairment. Conclusion: This survey has demonstrated the relationship between poor vision and the occurrence of RTA. All stakeholders must work together to ensure the safety of lives and property on our roads.