Accident Rate Research Articles

Weight Monitoring System for Truck Load

Abstract: For cargo to be moved safely and effectively, a truck load weight monitoring system is required Overloading of trucks not only poses a risk to road safety but also causes excessive wear and tear on the vehicle, resulting in higher maintenance costs andreduced fuel efficiency. To address these challenges, an advanced weight monitoring system has been developed to measure and monitor the weight of truck loads using HX711 loadcell. When it comes to monitoring and managing the weight of truck loads. Overloading of trucks has been a longstanding issue in the industry. It not only compromises road safety but also has detrimental effects on the vehicles themselves. Excessive weight can lead to increased braking distances, compromised steering control, and increased risk of tire blowouts, all of which contribute to higher accident rates. This system utilizes advanced technologies and sensors to accurately measure and monitor the weight distribution of cargo carried by trucks. By providing real-time weight information using GPS and GSM modules, operators and fleet managers can make informed decisions to ensure compliance with weight regulations and prevent overloading

Manajemen risiko pada industri batu bara

Background: The coal industry has a high potential risk of work accidents and occupational diseases, therefore implementing risk management is important to maintain work safety and health. This paper aims to analyze the application of risk management based on ISO 31000 in the coal industry. Methods: This paper uses a literature study method, which is sourced from literature such as scientific articles, books, journals and online media. Findings: Risk management methods begin with establishing the internal and external context of the coal industry. Next, hazards and risks are identified at all stages of the coal production process, from land clearing, soil transportation, rock excavation, to coal transportation and storage. Conclusion: The identification results are analyzed using a likelihood and consequence matrix to determine the level of risk. Unacceptable risks are further evaluated and appropriate controls recommended. Control is carried out by technical engineering, administration and the use of personal protective equipment. The entire risk management process needs to be monitored and reviewed regularly. Implementing a risk management system in the coal industry can reduce work accident rates and improve production quality.

The necessity of implementing AI for enhancing safety in the Indonesian passenger shipping fleet

The shipping industry, grappling with escalating challenges, increasingly adopts Artificial Intelligence (AI) to enhance efficiency, safety, and environmental impact. Experts endorse ship automation and AI implementation for safety, navigation, and operational efficiency in ferry networks. This paper underscores AIS technology's role in maritime safety and environmental protection, emphasizing AI's potential in navigation and knowledge gap bridging. Indonesia, with its numerous islands and significant population, faces complex challenges in ensuring safe maritime transportation. Collaborative efforts among the government, industry, and stakeholders are vital for enhancing safety standards across the archipelago. Despite regulations, Indonesia contends with a high ferry accident rate, prompting the need for preventive measures. The study reviews AI's application in preventing sea accidents, recognizing its contributions and potential effectiveness in maritime safety. Acknowledging challenges like data quality and cybersecurity, the paper emphasizes the necessity of AI development for passenger ship safety. It concludes by highlighting significant research efforts, endorsing AI's promising role in reshaping the industry for improved efficiency and safety. Further exploration of AI applications, particularly in passenger ship safety, is recommended to meet evolving challenges in the maritime sector.

소방공무원 현장순직사고의 발생실태 및 대응방안에 관한 연구

This study analyses the on-site fatal accidents of firefighters from 2002 to 2021 and proposes response measures to reduce fatal accidents. For this purpose, detailed analyses were conducted by type of work, cause, region, day of the week, rank, age, and years of service. The most common type of fatal accident was engaged in firefighting, followed by drowning and traffic accidents. There were more fatal accidents in Gyeonggi and Gangwon province on Thursdays. There was a disproportionately high rate of fatal accidents among those in leading positions(fire sergeant and senior firefighter) in the field and those in their late 30s. Firefighters with less than five years of experience had a high rate of fatalities. Based on these analyses, this study makes the following recommendations for reducing fatal accidents. First, a strategy for responding to fatal accidents that considers various causes and factors is needed. Second, response strategies should be tailored to each region and location. Third, a response strategy for early problem-solving is needed. Lastly, we need safety education based on the life cycle.

Factors affecting driving performance in patients with Multiple Sclerosis - still an open question.

Research on driving ability in people with multiple sclerosis (MS) suggests that they might be at risk for unsafe driving due to MS-related motor, visual, and cognitive impairment. Our first aim was to investigate differences in driving ability and performance between people with MS (PwMS) and those without any neurologic or psychiatric disease ("controls"). Secondly, we determined disease-related factors influencing driving ability in PwMS. We prospectively compared standardized performance in a driving simulator between 97 persons with early MS [mean (SD) = 6.4 (7.3) years since diagnosis, mean (SD) Expanded Disability Status Scale (EDSS) = 2.5 (1.4)] and 94 group-matched controls. Participants completed an extensive examination comprising questionnaires and assessments regarding driving, cognitive and psychological factors, as well as demographic and disease-related measures. Between-group comparisons of driving-relevant neuropsychological tests and driving performance were done. Correlations were performed to define demographic and disease-related factors on driving performance in MS. In a driving simulator setting, PwMS had more driving accidents [T(188) = 2.762, p = 0.006], reacted slower to hazardous events [T(188) = 2.561, p = 0.011], made more driving errors [T(188) = 2.883, p = 0.004] and had a worse Driving Safety Score (DSS) [T(188) = 3.058, p = 0.003] than controls. The only disease-related measure to be associated with most driving outcomes was the Wechsler Block-Tapping test (WMS-R) backward: number of accidents (r = 0.28, p = 0.01), number of driving errors (r = 0.23, p = 0.05) and DSS (r = -0.23, p = 0.05). Driving performance in a simulator seems to be reduced in PwMS at an early stage of disease compared to controls, as a result of increased erroneous driving, reduced reaction time and higher accident rate. MS-related impairment in mobility, vision, cognition, and in psychological and demographic aspects showed no or only minimal association to driving ability, but impairment in different areas of cognition such as spatial short-term memory, working memory and selective attention correlated with the number of accidents, and might indicate a higher risk for driving errors and worse performance. These results show that driving ability is a complex skill with involvement of many different domains, which need further research.

Application of the IMO taxonomy on casualty investigation: Analysis of 20 years of marine accidents along the North-East Passage

In the context of global warming and ice melting in the Arctic Ocean, maritime activities have significantly increased over recent years. However, the Arctic remains a wild and risky region where marine accidents regularly occur. Despite the difficulty in compiling relevant data on Arctic shipping casualties, we have identified 156 accidents along the North-East Passage (NEP) over the last twenty years. Following a data-driven approach, we combine multiple sources and use the standardized International Maritime Organization (IMO) taxonomy on casualty investigation. We disclose and classify the concerned cases by severity level, cause, age, and type of vessels. We draw the profile of the vessels with the highest accidentology level, ascertain the high-risk areas and the seasons with the highest accident rate. Our results stress that serious casualties represent the largest part of the accidents occurring in this area. Fishing vessels show the highest accident rate, and machinery issues are one of the most common accident types. Furthermore, the NEP accidentology during the last two decades does not seem to decline unlike the downward trend elsewhere around the globe. Finally, we call for greater reporting of marine accidents and compliance with the IMO risk classification to better understand accidentology in this growing shipping zone. A plea in favor of stricter enforcement of the Polar Code and a holistic risk-based policy combining mandatory and non-mandatory measures are notably suggested to prevent casualties in the near future.

Enhancing Worker Safety in Manufacturing with IoT and ML

This paper explores the integration of Internet of Things (IoT) and Machine Learning (ML) technologies to enhance worker safety in manufacturing environments. Through a comprehensive review of existing literature, the paper investigates the impact of IoT and ML on various aspects of worker safety, including accident prevention, injury reduction, and productivity improvement. Quantitative analysis reveals significant reductions in accident rates and severity of injuries, alongside improvements in productivity, attributable to IoT and ML interventions. Moreover, comparisons with traditional safety measures highlight the advantages of proactive risk management and real-time monitoring enabled by IoT and ML. Ethical considerations and social implications are also discussed, emphasizing the importance of data privacy, algorithmic fairness, and stakeholder engagement. Recommendations for industry practitioners and policymakers include investing in technology infrastructure, prioritizing data privacy and security, and fostering a culture of safety. Future research directions encompass exploring ethical and social implications, assessing long-term impact, and embracing emerging technologies such as edge computing and federated learning. Overall, this paper underscores the transformative potential of IoT and ML in creating safer, more resilient workplaces.

Epilepsy and driving: A preliminary survey of people with epilepsy at an epilepsy clinic in China

BackgroundDriving is an important part of the daily life for most adults, and restrictions on driving can significantly affect the quality of life for people with epilepsy. This study aimed to investigate the current driving status of patients at an epilepsy clinic in China. MethodStudy participants were administered a survey by a questionnaire including the demographic and clinical characteristics of seizure, driving-related questions and attitudes to driving. ResultsA total of 101 patients responded the survey. Among 33(32.7%) who hold the driving license, 20 (60.6%) still drive, 3 had seizures while driving, and the rate of traffic accidents was 0. There was no significant difference in seizure frequency and type of medication between patients with and without the driving license, but compliance with medication was significantly better for those who held the driving license. ConclusionsOne-third of people with epilepsy hold the driving license and good drug compliance is a favorable factor for driving. Standardizing different levels of restriction on driving for people with epilepsy is urgently needed.

Data-Driven Dynamic Bayesian Network Model for Safety Resilience Evaluation of Prefabricated Building Construction

Due to factors such as the availability of assembly equipment, technology, and site management level, prefabricated building construction safety accidents often occur. To ensure the safety of prefabricated buildings and effectively reduce the accident rate, the concept of resilience is introduced into the safety management of prefabricated buildings. Based on the resilience absorption capacity, adaptation capacity, recovery capacity, and optimization capacity, a comprehensive evaluation index system for the safety resilience of prefabricated buildings is established. By combining prior knowledge with structural learning and parameter learning, a dynamic Bayesian network (DBN) model is constructed to dynamically evaluate the safety resilience of prefabricated buildings. Through forward causal reasoning and backward diagnostic reasoning, the dynamic safety resilience value of prefabricated buildings and the chain of maximum failure causes are obtained. Finally, by conducting a sensitivity analysis on the target nodes, the key influencing factors of the safety resilience of prefabricated construction are identified, and improvement suggestions for enhancing resilience are proposed. The results indicate that establishing a resilience safety culture, preventing unsafe behaviors of personnel, safety management, and supervision on the construction site, emergency management actions, and building a risk management information system are crucial factors influencing the safety resilience of prefabricated buildings. The enhancement of absorption capacity has the greatest impact on the safety resilience of prefabricated buildings.

Lateral Overturning and Backward Rollover of Agricultural Tractors: A Review

Tractor accidents caused by lateral overturning and backward rollover during agricultural activities and general driving are common. In this study, various research cases were analyzed to identify the factors influencing the lateral overturning and backward rollover of tractors and to examine their static and dynamic stability. Studies on the analysis of the major causes of these incidents and evaluation of tractor safety were compiled. Test methods, including actual tests and simulations, were categorized, and the characteristics of lateral overturning and backward rollover safety of tractors in different studies were examined. Additionally, safety improvement measures were proposed by identifying and summarizing the causes of accidents involving agricultural machinery. Tractor safety was evaluated primarily by conducting actual tractor and simulation tests. These tests were classified into field tests, tests on scale models, spreadsheet programs, and 3D simulation programs. The primary causes of lateral overturning and backward rollover were unstable center of gravity, extremely high driving speed, and ground conditions. Given the considerable number of studies dedicated to evaluating tractor safety, various technologies aimed at preventing lateral overturning and backward rollover incidents are expected to be applied to tractors in the future. The production and testing of safe agricultural machinery are expected to contribute to a reduction in accident rates.

Research on robustness of intelligent vehicle longitudinal active collision avoidance system based on equivalent external interference

The rate of fatal traffic accidents caused by sudden risks such as pedestrians crossing the road in violation of regulations and goods falling in front of the vehicles has remained high under the complex dynamic environment. The appearance of sudden obstacles/pedestrians will indirectly trigger sudden changes in sensor signals and control signals, and cause the drivers’ improper driving behaviors. At the same time, the parameter perturbation of the vehicle itself and the sensor noise and other direct disturbances will also put forward high requirements for the robust performance of the vehicle braking system controller. Traditional control methods are difficult to ensure the robust stability required by the vehicle braking system in the actual driving process under sudden emergency conditions. In order to improve the braking control performance and robust performance of the active collision avoidance system under sudden emergency conditions under the influence of its own parameter perturbation, sensor perturbation and other perturbations, this manuscript analyzes the accident risk characteristics of sudden emergency conditions, and establishes an equivalent virtual external force interference model [Formula: see text]. Considering the virtual external force interference model, self-driving parameter perturbation and sensor perturbation, we adopt the [Formula: see text] control theory-design brake controller. Under different perturbation conditions the [Formula: see text] controller, PID controller, and [Formula: see text] controller are simulated and compared. The results show that the [Formula: see text] controller can effectively suppress sudden emergency conditions under parameter uncertainty and external sensor noise interference compared with the PID controller and the [Formula: see text] controller, realizing emergency braking and collision avoidance, and having better closed-loop robustness.

Psychosocial Hazards among Field Workers in the Construction Industry Across Demographic Groups in Rivers State, Nigeria

This study explores how psychosocial hazards affect safety outcomes, particularly across demographic characteristics in the construction industry in Rivers State, Nigeria. Questionnaires were distributed to workers in the construction companies in Rivers State to get their responses on psychosocial hazards such as workload, role clarity, social support, and organizational culture. A questionnaire-based survey also collected data on the demographic variables of the workers. Two- hundred and ninty-five respondents had a complete and usable questionnaire. Pearson correlation coefficients and Principal Component Analysis (PCA) were used to understand the relationship between the psychosocial factors with the safety outcome and the relationship with demographic variables. The result revealed that male workers faced higher stress, accidents, and near misses, while females grappled with role ambiguity but reported better social support. The results from correlation analysis revealed that higher workload correlated with increased accidents and near misses. Adequate equipment and suitable environment equate with positive job performance, positive organisational culture leads to low accident rates. Also, clear job roles were linked to improved performance and fewer accidents. Psychosocial hazards have not gained high attention in most industries, but with the improvements in this field of research, safety of workers holistically will be attained.

Development of a Network-Level Road Safety Assessment Procedure Based on Human Factors Principles

Road safety is a central issue in the management and development of a road network. Road agencies must try to identify the most dangerous sections of their network and act on them to improve safety. The most used procedure for this purpose is about considering the indicators based on crashes. However, a mature road safety management system must be able to assess the safety of a road section before accidents occur. The European community is moving in this direction with the update of Directive 2008/96/EC (Directive 1936/2019). This paper proposes a new methodology for carrying out a network-wide road safety assessment on rural single-carriageways and two-lane two-way roads. This procedure accounts for the influence of road characteristics on drivers’ perceptions. The methodology has been developed based on the human factors concepts from PIARC, and it includes a series of checklists that guide an inspector in carrying out a visual inspection of single-carriageway roads. The results from the checklist are then processed into an algorithm, and the level of risk in the analyzed section is provided. The objectives of the procedure are (a) to account for the perceptive aspects that are one of the major causes of road accidents, (b) to provide a proactive procedure in line with the requirements of the European Directive, and (c) to provide a useful instrument that can be easily implemented by road agencies and integrated with other analysis procedures. The procedure has been applied and tested on a case study of six different stretches of two-lane, two-way rural highways in Italy, Germany, and Slovenia (about 65 km). The results show a high degree of concordance with a risk classification based on the accident rate, mainly considering high-risk sections. Therefore, the procedure demonstrated its potential to be a useful instrument to be included in network safety assessments. Road agencies should consider the use of this procedure in their network safety analysis and ranking.

Risk of fall in patients with chronic kidney disease: results from the China health and retirement longitudinal study (CHARLS)

BackgroundChronic kidney disease (CKD), often coexisting with various systemic disorders, may increase the risk of falls. Our study aimed to assess the prevalence and risk of falls among patients with CKD in China.MethodsWe included patients with/without CKD from China Health and Retirement Longitudinal Study (CHARLS). Our primary outcome was the occurrence of fall accidents within the past 2 years. To enhance the robustness of our findings, we employed a multivariable logistic regression model, conducted propensity score analysis, and applied an inverse probability-weighting model.ResultsA total of 12,658 participants were included, the prevalence of fall accident rates were 17.1% (2,028/11,837) among participants without CKD and 24.7% (203/821) among those with CKD. In the inverse probability-weighting model, participants with CKD exhibited higher fall accident rates (OR = 1.28, 95% CI: 1.08–1.53, p = 0.005 ). Sensitivity and subgroup analysis showed the results still stable.ConclusionsThe population in China afflicted with CKD has a significantly heightened risk of experiencing falls, underscoring the crucial importance of intensifying efforts in assessing and preventing fall risks.

Дослідження безпечності перехрестя з круговим рухом

Roads ensure continuous, safe and convenient movement of vehicles. Intersections play a critical role in the road network in terms of capacity, service level and safety. They are designed in different sizes for different purposes and conditions and have their own defining characteristics that can affect their safety and ease of use.
 Particular attention is paid to roundabouts - where traffic slows down and becomes a one-way flow around a central island. Additional entrance and roundabout lanes improve transportation efficiency, but they also have an impact on safety. The safety disadvantage can be due to inappropriate driver behavior when approaching, circling, and exiting the intersection, as well as weaving maneuvers within the roundabout.
 The concept of turbo-roundabouts has emerged as a possible alternative to conventional multi-lane intersections, but the analysis of studies does not allow us to draw definitive conclusions about their effectiveness and safety, so it is recommended that such studies be conducted for specific road conditions.
 The paper proposes a design of a turbo-roundabouts to improve safety without reducing its efficiency at the intersection of international highways (European route E40 «Kyiv–Chop» and E85 «Domanove-Kovel-Chernivtsi-Terebleche») near the city of Dubno, where traffic accidents regularly occur.
 Among the different types of turbo-roundabouts, the basic turbo-roundabouts with a maximum capacity of up to 2,500 vehicles per hour and the largest traffic flow is taken as a basis.
 All geometric parameters correspond to the average size of a turbo intersection, take into account the overall dimensions of the truck, the speed of traffic and are built in accordance with the recommendations of regulatory documents of European countries specializing in their design.
 The designed turbo intersection with circular traffic has the best comparative option and will reduce the overall accident rate by 36 % and the number of injured people by 34 %.

Advanced Drone Surveillance System for Traffic Management

The rapid urbanization and increasing vehicle traffic in metropolitan areas have given rise to a significant challenges in traffic management. Traditional methods of a traffic monitoring and control often struggle to cope with the dynamic and complex nature of urban traffic patterns. In this context, we propose an innovative Drone Surveillance System for Traffic Management to revolutionize the way traffic is monitored, analyzed, and optimized in urban environments. Our system leverages state-of-the-art drone technology equipped with advanced sensors, high-resolution cameras, and intelligent algorithms to provide real-time traffic insights. Drones are deployed strategically across key traffic arteries, allowing for comprehensive aerial coverage and data collection. The system focuses on several key objectives: real-time traffic monitoring, incident detection, traffic flow analysis, optimized traffic signal control, emergency response support, data-driven decision making, and ensuring privacy and security compliance. By the employing cutting-edge computer vision algorithms, machine learning techniques, and data analytics, the Drone Surveillance System processes vast amounts of traffic data with speed and precision. The system detects the traffic incidents and the such as accidents and road hazards promptly, enabling swift a responses from emergency services. It analyzes traffic patterns and predicts congestion, allowing for adaptive traffic signal control and dynamic route optimization, thereby minimizing congestion and reducing travel time for a commuters. One of the system’s notable features is its a ability to the support emergency response teams effectively. Drones identify incidents and relay on the critical information to emergency services, International Journal of Scientific Research in Engineering and Management (IJSREM) Volume: 08 Issue: 02 | February - 2024 SJIF Rating: 8.176 ISSN: 2582-3930 © 2024, IJSREM | www.ijsrem.com DOI: 10.55041/IJSREM28534 | Page 2 enabling rapid deployment and efficient management of emergencies. Moreover, the system ensures the privacy of individuals through strict adherence to regulations and deploys robust security measures to safeguard data integrity. An important advancement in the urban traffic control system is the Drone Surveillance System for Traffic control. The technology turns traditional traffic management into a proactive, flexible, and data-driven procedure by utilizing the power of drones, real-time data processing, and sophisticated algorithms. This innovation not only makes urban transportation more efficient, but it also helps to improve road safety by lowering accident rates, easing traffic, and creating a more sustainable urban environment. Keywords: Traffic Management, Real-time Monitoring, Incident Detection, Traffic Flow Analysis, Optimized Traffic Signal Control, Machine Learning Techniques. Drone Surveillance System

Review of machine learning in traffic accident detection

With the development and wide application of New Energy Vehicles (NEVs) in the past decade, the chip and power supply method for Machine Learning (ML) intervention provides a good hardware premise, while the 5G technology under the auspices of large-scale rapid data processing is also a prerequisite for the development of Auto Driving, moreover the current traffic accident prediction algorithms have a more critical role in the development of the field of Auto Driving. In this paper, I will consider these aspects as shown below. On the one hand, Anticipation of Traffic Accidents (ATAs) can be well used in todays Autonomous Driving has not yet been popularized, the existing warning information into the corresponding automated driving intervention signals to achieve the possibility of improving the safety of automated driving to increase the possibility of future use of automated driving. On the other hand, the use of ML in the ATAs can be better in the complex traffic environment in a timely manner for the accident warning to achieve a certain degree of reduction in the rate of traffic accidents, in order to optimize the traffic and reduce the economic loss of people. At the same time, in this review, we will propose the combination of data from in-vehicle cameras and road surveillance cameras to analyze the current development of autonomous driving.

Psychological and pedagogical factors that determine the need for self-education of elderly drivers.

The subject of the study is the identification of factors affecting road safety by drivers of vehicles.The object of the study is the psychological and pedagogical factors influencing the provision of road safety by elderly drivers in the process of self-study. The authors carry out an administrative and legal analysis of the status of the driver of the vehicle within the framework of the legislation of the Russian Federation. Statistical data on road traffic accidents committed by drivers of various age groups for 9 months of 2022 are disclosed. The authors provide statistics on accident rates caused by drivers with different driving experience. The authors analyze the problem of limiting the use of vehicles by elderly drivers from the point of view of their social activity and the adaptation of elderly drivers to new conditions for ensuring road safety when driving. The authors pay special attention to the study of physiological and psychological changes occurring in older drivers and affecting safety when driving a vehicle. The authors propose the introduction of a specialized self-education program for elderly drivers as part of the prevention of road safety. In the course of the research, the dialectical method of scientific cognition was used, as well as a set of general scientific and special methods for studying factors affecting the safety of elderly drivers when driving vehicles. Implementation of scientific findings and recommendations in the practice of self-education of elderly drivers in safe driving. The main conclusions of the study are the system components obtained by the authors that affect road safety when driving vehicles by elderly drivers. A special contribution of the authors to the study of the topic is their proposed specialized self-study program. The authors note that programs should take into account the physiological and psychological characteristics of older people. They may include game directions for teaching changes in traffic rules, features of safe driving techniques applicable without the use of specialized polygons, as well as stress management methods and self-regulation techniques, a set of exercises to increase concentration. The novelty of the study lies in the disclosure of the main provisions of the program for self-education of elderly drivers in safe driving, taking into account their physiological and psychological characteristics.

DETERMINANTS OF OCCUPATIONAL HEALTH AND SAFETY IN THE FOCUS OF WELDERS

The welding industry is known for having significant occupational health risks. For this reason, the occupational hazards of welders have been previously examined by many researchers in the literature. However, the traditional hazards-outcomes focused analyses do not show the big picture in which occupational health and safety (OHS) is neglected due to global competitive conditions. Therefore, it may be important to define the determinants of OHS that deepen inequalities, especially in developing countries. This study aimed to evaluate the relationship between OHS indicators and OHS determinants among welders in a developing country. In this descriptive study, the data were collected from 88 welders by telephone interview. Health outcomes were also confirmed from clinical records. In addition to the indicators of OHS, independent variables such as education level, sector, business size, union membership, security, wage, weekly working hours, etc were investigated in the study. According to the results, the work accident rate was higher in welders who started their careers as a child. Leading OHS indicators were found to be significantly worse in the working environments of those with low education, low wages, workers in the private sector and who are non-unionized. Additionally, a positive correlation was found between being unionised and high education level, high socioeconomic development (SED) level, business size, and working in the public sector. There was a negative correlation between union membership and weekly working hours. Since the concept of OHS is related to many factors, working life should be considered from a holistic perspective.

Stimulant Drug Using, Road Traffic Accidents, and Illegal Activities among Highway Drivers in Iraq in 2022: A Nation-Wide Cross-Sectional Survey

Background: Drug and stimulant abuse is especially common in low and middle- income countries, such as Iraq and certain populations, such as highway drivers. Moreover, Iraq has high rates of traffic and road accidents. Objective: Our objective was to assess the associations of using stimulants with traffic events among highway drivers in Iraq. Methods: We used a cross-sectional study design, in which a self-administered questionnaire was distributed online on different social media platforms. The study included male highway drivers who used drugs from all provinces of Iraq. The questionnaire consisted of demographic questions and an addiction questionnaire about stimulants specially validated for the Arabic language. We followed a convenience sampling method to recruit participants. Results: A total of 1700 participants from 18 provinces were included with a median (IQR) age of 34 (24:55) years. Around 58% used drugs for reasons other than medical indications, while 81% reported abusing prescription drugs. Amphetamine and cocaine were used by 52% and 20% of the participants, respectively. Around 84% of the drivers had at least 56 driving hours per week, while 87% were involved in illegal activities due to drug use. Most of the participants (78%) had accidents at least three times per month. Most of the participants had social and medical issues. Conclusion: Drug use, especially stimulant use, is a major contributor to road accidents and thus, increased morbidity and mortality rates in Iraq. Urgent policies and regulations are needed regarding the dispensing of drugs and the working hours of the drivers.