Number Of Road Traffic Crashes Research Articles

A comparative analysis of road and vehicle qualities as factors of road traffic carnage in Nigeria

Background and objectiveCarnage on roads is a growing concern in Nigeria. Over 27 persons, equivalent to more than 4 families, die daily from road traffic crashes. Two direct factors of a road crash are road quality and vehicle quality. To interrogate and compare both factors to road traffic accidents, the longitudinal study regressed secondary data on death tolls against road quality and vehicle quality.Materials and methodsData on the estimated number of vehicles imported into Nigeria (1992–2021) served as the indicator of vehicle quality on Nigerian roads. The longitudinal study regressed secondary data on death tolls (2013–2019) against road quality (2006–2019) and vehicle quality (1992–2021).ResultsResults showed that road quality is degenerating as well as vehicle quality in Nigeria, resulting in increase in the number of road traffic crashes and the attendant death tolls. For every 1% decrease in road quality, death tolls from road traffic crashes in Nigeria increased by 0.00642% at 5% significance, and for every decrease in vehicle quality, death tolls from road traffic crashes in Nigeria increased by 0.327% at 5% significance.ConclusionThe study recommended increased advocacy on the sanctity of life and the need for all tiers of government to prioritize policy and implementation of improving the road quality and vehicle quality to reduce road traffic crashes and save lives on Nigerian roads.

Spatial analysis of road traffic crashes and user based assessment of road safety: A case study of Rotterdam

Objective To perform a spatial analysis of Road Traffic Crashes (RTCs) and assess road safety issues from the perspective of road users. Problem statement Although many initiatives have been taken to reduce the occurrence and severity of RTCs, they continue to persist. Existing research often investigates the spatial occurrence of RTCs or the perception of road safety issues from the road user. In doing this, only a limited number of factors that contribute to RTCs can be revealed, whereas in most RTC occurrences a multitude of factors plays a role. A more integrated approach combining both knowledge areas can contribute to improving road safety. Methods RTCs that occurred from 2018 to 2020 in Rotterdam, in the Netherlands, were spatially analyzed. This was performed using Network Kernel Density Estimation (NKDE) analysis. Two zones within the study area were selected to understand road users’ perceptions of road safety through a survey. Furthermore, opinions toward possible recommendations for improving road safety were also collected through key informant interviews. Results NKDE resulted in a hot-spot map of the road segments in the study area that showed the frequency of RTCs using different colors. The road segments were classified based on the number of RTCs from 2018 to 2020, ranging from zero to 17.9 RTCs per kilometer. This led to the selection of a hot and cold spot zone for further analysis. The road user perception survey resulted in the discovery of qualitative responses that can be used to improve road safety in future and the possible recommendations would be well received by them. The key-informant interviews acted as a backup to the opinions given by the road users and provided insights on what is being done in the study area to improve road safety. Conclusion The synthesis of findings unveiled why road users perceive some areas as dangerous and which road policies need to be revised to improve road safety in Rotterdam.

Driver stress levels detection system using hyperparameter optimization

Stress and driving are a dangerous combination which can lead to crashes, as evidenced by the large number of road traffic crashes that involve stress. Therefore, it is essential to build a practical system that can classify driver stress level with high accuracy. However, the performance of such a system depends on hyperparameter optimization choices such as data segmentation (windowing hyperparameters). The configuration setting of hyperparameters, which has an enormous impact on the system performance, are typically hand-tuned while evaluating the algorithm. This tuning process is time consuming and there are also no generic optimal values for hyperparameters values. In this work, we propose a meta-heuristic approach to support automated hyperparameter optimization and provide a real-time driver stress detection system. This is the first systematic study of optimizing windowing hyperparameters based on Electrocardiogram (ECG) signal in the domain of driving safety. Our approach is to propose a framework based on Particle Swarm Optimization algorithm (PSO) to select an optimal/near optimal windowing hyperparameters values. The performance of the proposed framework is evaluated on two datasets: a public dataset (DRIVEDB dataset) and our collected dataset using an advanced simulator. DRIVEDB dataset was collected in a real-time driving scenario and our dataset was collected using an advanced driving simulator in the control environment. We demonstrate that optimizing the windowing hyperparameters yields significant improvement in terms of accuracy. The most accurate built model applied to the public dataset and our dataset, based on the selected windowing hyperparameters, achieved 92.12% and 77.78% accuracy, respectively.

EFFECT OF TRAINING ON THE SUSTAINABILITY OF MOTORCYCLE TAXI BUSINESSES IN NAIROBI COUNTY

Motorcycles are a popular mode of transportation in developing countries such as Kenya because they are relatively affordable, convenient for short distances and poor roads, and efficient for navigating heavy traffic in many developing cities. Despite these benefits, motorcycles are involved in a substantial number of road traffic crashes and injuries. Research on the role of training in enhancing the sector in Nairobi County is, however, scanty. The objective of the study was the effect of training on the sustainability of motorcycle taxi businesses in Nairobi County. The study was conducted among motorcycle taxi operators. The descriptive research design was adopted. A sample of 249 motorcycle taxi operators in Nairobi County was selected using a systematic random sampling technique. Data was collected using questionnaires. Before data collection, piloting, instrument reliability, and validity, a pilot study was conducted. Data were computed for descriptive statistics (frequencies, means, and percentages) and inferential statistics such as Pearson correlations and Regression analysis. The findings were presented using tables, graphs, and charts. The findings of the study revealed that training had a significant influence on the sustainability of Motorcycle Taxi Businesses in Nairobi County, Kenya. It was also found, most of the operators are trained in road safety, and they apply the skills during their daily operations to a fair extent. Following this, the study recommended that Training should be provided to motorcycle taxi operators on entrepreneurship skills to operators of motorcycle taxi is highly required. Some motorcycle taxi operators who generate sufficient income should be equipped with relevant knowledge of entrepreneurship. Driving schools in the collaboration with the NTSA need to come up with a friendly payment plan for driving school fees that is affordable. The national government through the relevant authorities such as NTSA should come up with a user-friendly curriculum, especially for the persons who have a lower education background KEYWORDS: Technological Development, Motorcycle Business, Motorcycle Operators

An Exploration of Characteristics and Time Series Forecast of Fatal Road Crashes in Manipal, India

Road crashes are the sixth leading cause of death in India. There has been a fourfold increase in the number of road traffic crashes in India in the last four decades and an increase of 9.8 times in the fatalities associated with that exponential increase. Manipal is a coastal place with a population of approximately 50,000 inhabitants lying in between the western Mountain range and the Arabian sea. The study’s objective is to explore the characteristics of fatal road crashes in Manipal from 2008–2018 using the data pertaining to fatal crashes retrieved from the office of the superintendent of police. Furthermore, it aims to forecast crashes by time series analysis prediction. The results show that most of the fatal crashes are due to exceeding the lawful speed limit, followed by driving under the influence of alcohol and going ahead and overtaking. The time series analysis forecasted the number of fatal crashes until the year 2025 and predicted that there will be an increase in the number of fatal road crashes by 4.5%. The results also provide essential leads for initiating specific intervention programmes targeting the causes of fatal road crashes.

Road Safety in the Romanian Cities. A Study on Urban Road Traffic Crashes

Sustainable urban mobility and road safety have been both a challenge and a priority at the European level for two decades now. Urban road traffic crashes are some of the most difficult issues to tackle by the local administrative planning and development authorities in Europe. The aim of this study was to enhance the focus on urban road safety by providing an illustrative spatial and temporal overview on the road crashes occurred in the cities and towns of Romania and their effects on the people involved. Data related to urban road crashes for a 12-year reference period from 2008 to 2019 were used. Results showed no significant difference in the number of road traffic crashes in 2019 compared to 2008. However, the impact on the people involved show a decrease in severity, the number of road crashes deaths in 2019 being halved compared to 2008. We note a redistribution in the occurrence of these events at the city level, for the period 2008-2019, whilst the most affected are the cities of rank 1 and 2. All rank 1 cities in Romania were detected as hotspots with a high concentration of road traffic crashes and casualties, designated as low-safety road traffic urban poles. We argued in favour of customized and relevant strategies for sustainable and safe urban transport in accordance with the particular features of the cities and towns in Romania, given the varied severity degree of the phenomenon and the specific features of road infrastructure and road traffic.

An Empirical Assessment of Factors Influencing Injury Severities of Motor Vehicle Crashes on National Highways of Pakistan

Road transport is the dominant mode of transport in Pakistan carrying 91% of the country’s passenger traffic and 96% of freight traffic. National highways, being 3.7% of the entire road network, carry 80% of commercial traffic. Due to the high number of road traffic crashes and resulting fatalities, a random parameters logit model was estimated to determine the risk factors that influence the severity of injuries caused by motor vehicle crashes on national highways. The effects of driver characteristics, crash characteristics, highway characteristics, temporal characteristics, and environmental characteristics were considered for the analysis. From the results, it was revealed that many factors such as overspeeding, driver dozing, driver carelessness, driver age <25 years, truck, rickshaw, single vehicle, horizontal curve, potholes, night without road lights, AM peak, Tuesday, weekdays, May, July, November, cloudy weather, clear weather, normal visibility, and wet road surface affect injury severity of the crash victims. The results are expected to be useful for transport planners, traffic managers, road engineers, and other stakeholders both from public and private sectors in prioritizing road sections for improvements and implementing suitable road safety interventions. This will ultimately result in the decreased social and economic burden of road traffic injuries (RTIs).

Visual assessment of commercial drivers in the South West Region of Cameroon

BackgroundDriving is a visually intensive task. In Cameroon, where the burden of road traffic deaths is high, visual assessment is not universally performed before the issuance of driver licenses. This study aims to assess the visual status of commercial drivers (CDs) in the southwestern region of Cameroon, and to find its relation to road traffic crashes (RTCs).MethodsThis work was a cross-sectional community-based study on CDs in Limbe and Buea. Questionnaires were used to assess sociodemographic parameters, the incidence of RTCs, and self-reported visual status. Visual acuity (VA) was measured using a standard Snellen chart at 6 m. Statistical analysis was performed using descriptive methods: frequencies, the paired Student’s t-test, and the chi-square test.ResultsTwo hundred seven CDs were enrolled in this study, all of which were male, with a mean age of 41.8 ± 12.1 years. A total of 15.0% had undergone an eye exam prior to licensure, and 3.4% had undergone an eye exam within the past 10 years. The VA in the better-seeing eye of participants was less than 6/9 and 6/12 in 14.1 and 10.6% of CDs, respectively. Seventy-five percent of CDs with self-reported poor vision and 95% of CDs with VA < 0.5 had a history of RTCs compared to 55.8% of CDs with self-reported good vision and 55.7% of CDs with VA ≥ 0.5 (p < 0.05). Injuries from RTCs were more common in CDs with self-reported poor vision (81.1%) and in those with VA < 0.5 (90.5%) compared to CDs who self-reported good vision (55.8%) and those with VA ≥ 0.5 (55.7%) (p < 0.05).ConclusionsA large proportion of CDs did not undergo a visual assessment before the issuance or renewal of their driver licenses. A substantial number of CDs had poor vision in their better-seeing eye and suffered from RTCs and related injuries, which suggests that the visual status of CDs in Cameroon is related to the gruesome number of road traffic crashes and deaths in the country. Therefore, concerned authorities should consider making vision tests a necessary requirement for the obtention of driver licenses.

Прогнозування ризиків ДТП на автомобільних дорогах

The issue of road safety is particularly relevant in Ukraine because according to official statistics, every 18 weeks accidents occur on the country’s roads, and every 117 minutes a person is killed by an accident. Road traffic crashes are random events that may be subject to a certain pattern. Therefore the analysis of crash patterns, their distribution in time and space, and the identification of causes is an urgent issue that has a significant impact on the entire transport system of the country. In the presented work we considered the assumption that the distribution of crash rates is subject to a certain distribution law. Checking the compliance of a random variable with one of the distribution laws was carried out for the condition that the level of road safety expressed by the final coefficient of accidents. The use of this indicator is conditional on a wide range of traffic condition parameters being taken into account, making it suitable for use in road safety audits. The study was carried out using databases of road safety values on public roads, which are available in the Road Traffic Management and Safety Department and are periodically updated. As a result of the study of the distribution of traffic accident risks, the coincidence of the nature of the theoretical distribution of the considered values of the real (relative accident rate) and predicted levels of road safety (the final accident rate (express model)) was found. According to the obtained analytical dependences of the mathematical expectation of the occurrence of a road accident we can determine the center of accidents with a certain probability, and the variance of the lognormal distribution describes the dispersion of a random variable (the number of road traffic crashes) on a selected road section. The resulting models offer the possibility of using them to determine road crash risks on difficult and dangerous sections of public roads.

Analysis and Modeling of Road Crash Trends in Palestine

This paper presents an analysis of road traffic crashes in Palestine. Over the period of the past 5 decades, there have been uncommon and sever changes in the annual number of road traffic crashes. Such changes can be contributed to varying socioeconomic and political changes. Relevant data have been collected despite the difficulties in obtaining such data from different authorities for various time stages. After examining the collected data, a time series model is developed considering ARIMA methodologies to come up with a model that explains the changes in road traffic crashes during the period since the establishment of the Palestinian National Authority in 1994. Proper model verification is done for the developed model and shows a limited difference of 6.1% between the observed and the forecasted traffic crashes for 2017. According to the developed model, a generally increasing trend is observed, which is expected to continue in the future, and consequently, there will be a vital need to improve traffic safety conditions and develop a national traffic safety program in Palestine.

Effectiveness of implementing the criminal administrative punishment law of drunk driving in China: An interrupted time series analysis, 2004-2017

In 2011, a more severe drunk driving law was implemented in China, which criminalized driving under the influence of alcohol for the first time and increased penalties for drunk driving. The present study aimed to assess effectiveness of the drunk driving law in China in reducing traffic crashes, injuries, and mortality. Data used in this study was obtained from the Traffic Management Bureau of the Ministry of Public Security of the People’s Republic of China. An interrupted time series analysis was conducted to analyze annual data from 2004 to 2017, including the number of road traffic crashes, deaths, and injuries caused by drunk driving in China. The average annual incidences of crashes, mortality, and injuries have decreased after the promulgation of drunk driving law in 2011. In the post-intervention period, the increased slope for crashes, mortality and injury rates were, respectively, -0.140 to -0.006, -0.052 to -0.005 and -0.150 to -0.008, indicating a weaker downward trend of dependent variables. The more stringent drunk driving law is not as effective as expected. Drunk driving is still a severe traffic safety problem to be addressed in China. Both legislation and other prevention programs should be adopted to reduce road traffic injuries caused by drunk driving in China.

Relationship between economic development and road traffic crashes and casualties: empirical evidence from Nigeria

Road traffic crash is a major public health problem in Nigeria. Economic development influence road safety but few studies have assessed both the short- and long-run relation between economic performance and road safety. This paper examined the relationship between economic development and road traffic crashes, fatalities and injuries in Nigeria. Using data over a period of 26 years (1991-2016), ARDL approach to cointegration was applied to determine the short- and long-run effects of economic development on road safety. The analysis was conducted using annual data related to gross domestic product per capita (GDP) and unemployment rate – for the level of economic development, and number of road traffic crashes, fatalities, and injuries –indicators of road safety. Results showed that in the long-run, both crashes and fatalities decrease while injuries increase with GDP. In the short-run, fatalities decrease with GDP but the negative impact of GDP on injuries manifests after a three year time lag. GDP had a significant effect on crashes, fatalities and injuries in the long run. However, GDP only significantly influenced fatalities and injuries in the short run. Government, policymakers, road safety agencies, motorists and motorcyclists should invest in road infrastructure, enforcement of traffic regulations and safety measures that will reduce injuries.

Likelihood of Motorcyclists Transferring to Safer Mode of Transport in Cairo, Egypt

Road traffic injuries and mortality are mainly caused by motorcycle crashes. Practically, 50% of people who meet their death in road traffic accidents (RTAs) are motorcyclists. The issue is increasingly articulated in progressing nations where the use of motorcycles has gained popularity in the past decades. Moreover, death and fatalities caused by accidents involving motorcyclists are also in the rise due to the increasing trend. Hence, motorcyclists are encouraged to use alternative modes of transportation that are safer in the attempt to minimise losses. As a result, a policy ought to be created to enhance urban transportation service and control motorcycle proprietorship. The current research that lays the groundwork aims to contribute a more elaborated analysis on motorcycle user mode decision conduct as well as an excellent comprehension of the conceivable efforts that can be taken to support motorcyclists to shift to a safer mode of transportation, particularly bus. In the current research work, the binary logit mode choice model was created for two elective modes in order to distinguish the separate practices of motorcyclists and bus users and assess their reactions to a situation that can minimize both time and expenses involved in bus travel. In addition, it should be noted that this paper surveyed a total of 327 travellers from Greater Cairo Region (GCR) in Egypt, the bus users were identified through revealed preference, while the motorcyclists were identified through revealed and stated preference surveys. In this case, travel time, travel cost, age, sexual orientation, income level, trip purpose, education level, and privacy significantly influence motorcycle user mode decision conduct. The likelihood of motorcyclists to utilize the use of buses was additionally analyzed dependent on a situation of minimized bus travel time and travel cost. These elements are very important in a program that attempts to draw in motorcyclists to utilize public transport, particularly bus. The outcomes can help the process of decision making on all levels in assigning the necessary assets prudently for the advancement of urban transportation services, reduced number of road traffic crashes, and increased road safety. This examination, which is the first of its sort in Egypt, assesses the model choice behaviour for motorcyclists.

A Critical Review of Proactive Detection of Driver Stress Levels Based on Multimodal Measurements

Stress is a major concern in daily life, as it imposes significant and growing health and economic costs on society every year. Stress and driving are a dangerous combination and can lead to life-threatening situations, evidenced by the large number of road traffic crashes that occur every year due to driver stress. In addition, the rate of general health issues caused by work-related chronic stress in drivers who work in public and private transport is greater than in many other occupational groups. An in-vehicle warning system for driver stress levels is needed to continuously predict dangerous driving situations and proactively alert drivers to ensure safe and comfortable driving. As a result of the recent developments in ambient intelligence, such as sensing technologies, pervasive devices, context recognition, and communications, driver stress can be automatically detected using multimodal measurements. This critical review investigates the state of the art of techniques and achievements for automatic driver stress level detection based on multimodal sensors and data. In this work, the most widely used data followed by frequent and highly performed selected features to detect driver stress levels are analyzed and presented. This review also discusses key methodological issues and gaps that hinder the implementation of driver stress detection systems and offers insights into future research directions.

Road traffic accidents prediction modelling: An analysis of Anambra State, Nigeria

One of the major problems in the world today is the rate of road traffic crashes and deaths on our roads. Majority of these deaths occur in low-and-middle income countries including Nigeria. This study analyzed road traffic crashes in Anambra State, Nigeria with the intention of developing accurate predictive models for forecasting crash frequency in the State using autoregressive integrated moving average (ARIMA) and autoregressive integrated moving average with explanatory variables (ARIMAX) modelling techniques. The result showed that ARIMAX model outperformed the ARIMA (1,1,1) model generated when their performances were compared using the lower Bayesian information criterion, mean absolute percentage error, root mean square error; and higher coefficient of determination (R-Squared) as accuracy measures. The findings of this study reveal that incorporating human, vehicle and environmental related factors in time series analysis of crash dataset produces a more robust predictive model than solely using aggregated crash count. This study contributes to the body of knowledge on road traffic safety and provides an approach to forecasting using many human, vehicle and environmental factors. The recommendations made in this study if applied will help in reducing the number of road traffic crashes in Nigeria.

Road traffic crashes among farm vehicle drivers in southern China: A cross-sectional survey

ABSTRACTObjective: The objective of this study was to identify the prevalence and potential risk factors of farm vehicle–related road traffic crashes among farm vehicle drivers in southern China.Methods: A cross-sectional study was used to interview 1,422 farm vehicle drivers in southern China. Farm vehicle–related road traffic crashes that occurred from December 2013 to November 2014 were investigated. Data on farm vehicle–related road traffic crashes and related factors were collected by face-to-face interviews.Results: The prevalence of farm vehicle–related road traffic crashes among the investigated drivers was 7.2%. Farm vehicle–related road traffic crashes were significantly associated with self-reported vision problem (adjusted odds ratio [AOR] = 6.48, 95% confidence interval [CI], 3.86–10.87), self-reported sleep disorders (AOR = 10.03, 95% CI, 6.28–15.99), self-reported stress (AOR = 20.47, 95% CI, 9.96–42.08), reported history of crashes (AOR = 5.40, 95% CI, 3.47–8.42), reported history of drunk driving (AOR = 5.07, 95% CI, 2.97–8.65), and reported history of fatigued driving (AOR = 5.72, 95% CI, 3.73–8.78). The number of road traffic crashes was highest in the daytime and during harvest season. In over 96% of farm vehicle–related road traffic crashes, drivers were believed to be responsible for the crash. Major crash-causing factors included improper driving, careless driving, violating of traffic signals or signs, and being in the wrong lane.Conclusion: Findings of this study suggest that farm vehicle–related road traffic crashes have become a burgeoning public health problem in China. Programs need to be developed to prevent farm vehicle–related road traffic crashes in this emerging country.

Antilock braking system effectiveness in prevention of road traffic crashes in Iran

BackgroundAnti-lock Brake System (ABS) helps the equipped vehicles to stop under heavy braking, in a shorter distance and with a better control of direction. It was expected that this technology will reduce the rate of fatal road traffic crashes (RTC); however, the outcome is controversial in the real world. The aim of this study is to compare the claimed annual incidence rate and financial losses due to RTCs in ABS vs. non-ABS personal vehicles in Iran.MethodsA telephone survey among drivers of two similar models of personal vehicles was arranged. The studied vehicles were of the same brand and type; but only one of them was equipped with ABS. The number of RTCs, subsequent financial loss, and drivers’ knowledge and perception about ABS were sought. The sample consisted of drivers of 1232 ABS and 3123 non-ABS vehicles.ResultsThe annual incidence rate of RTC involving another vehicle was 145.1 (134.8-155.9) per 1000 vehicle-years and there was not a statistically significant difference between study groups.The incidence of RTC with another vehicle due to brake failure was 50.3 (42.9-58.5) for 1000 non ABS vehicle-years and 30.0 (21.2-41.2) for 1000 ABS equipped vehicle-years. The difference was statistically significant after adjustment for the driver and vehicle's age and the daily driving time. The attributable risk of RTC for non-ABS vehicles was 20/1000 vehicles and the excess fraction was 39.8%. The mean financial loss due to reported RTCs was $987.9 ± $1547.3 US Dollars and there was not a statistically significant difference between study groups. While 61.1% of ABS vehicle drivers reported situations in which they believed the ABS had prevented a crash, 44.1% of them however, they did not know how to use ABS efficiently.ConclusionsLaw enforcement to maintain safe distance and adhere to speed limit while driving, is needed to raise the effectiveness of ABS. This is as necessary as considering mandatory outfitting of ABS. Safety authorities should first consider the global experience and local evidence, before adopting any specific policy in this regard. The drivers need to learn the right way to use ABS for maximum effectiveness.

Alcohol, Drugs, and Road Traffic Crashes in India: A Systematic Review

Objective: India reported the highest number of road traffic crashes, related injuries, and deaths among all countries in the world, with 105,725 road traffic fatalities and 452,922 nonfatal road traffic injuries in 2007. In this report we present a systematic review of available literature on the use of psychoactive substances (alcohol and drugs) among road users, particularly those involved in road traffic crashes (RTCs). Methods: MEDLINE, EMBASE, Ind Medica, and several other databases were searched for reports published between 1980 and 2011 that present data on the prevalence or extent of substance use among road users in India. Results: Among the 23 studies eligible for the review, alcohol was reported by all, but only 2 mentioned the use of drugs. Most of the studies were hospital based, included injured or killed road users, and belonged to southern parts of India. Seven studies did not report any method for detecting alcohol use, whereas 7 used analytical testing, 7 used self-reporting, and 2 used observation. Utilizing the various means of verification, the studies reported that 2 to 33 percent of injured and 6 to 48 percent of killed RTC victims had consumed alcohol or drugs; only 2 mentioned drugs without specifying which types. Most studies did not distinguish between drivers, passengers, bicyclists, and pedestrians, and none investigated alcohol or drug use among those responsible for the accident. Conclusion: A significant proportion of injured or killed road users in India had used alcohol before the accident. However, the existing studies cannot be used to estimate the risk of accident involvement among drunk drivers. There is a need for more rigorous research and capacity building on substance use vis-à-vis road traffic crashes.

Effects of speed radar camera in reducing road traffic crashes: experiences from Kenya

BackgroundRoad traffic injuries are among the top 10 causes of death accounting for 2.1% of total global mortality. Excess and inappropriate speed is responsible for a high proportion of the...

Road Traffic Injuries in Kenya: The Health Burden and Risk Factors in Two Districts

Background: Road traffic injuries (RTIs) contribute to a significant proportion of the burden of disease in Kenya. They also have a significant impact on the social and economic well-being of individuals, their families, and society. However, though estimates quantifying the burden of RTIs in Kenya do exist, most of these studies date back to the early 2000s—more than one decade ago. Objective: This article aims to present the current status of road safety in Kenya. Using data from the police and vital registration systems in Kenya, we present the current epidemiology of RTIs in the nation. We also sought to assess the status of 3 well-known risk factors for RTIs—speeding and the use of helmets and reflective clothing. Methods: Data for this study were collected in 2 steps. The first step involved the collection of secondary data from the Kenya traffic police as well as the National Vital Registration System to assess the current trends of RTIs in Kenya. Following this, observational studies were conducted in the Thika and Naivasha districts in Kenya to assess the current status of speeding among all vehicles and the use of helmets and reflective clothing among motorcyclists. Results: The overall RTI rate in Kenya was 59.96 per 100,000 population in 2009, with vehicle passengers being the most affected. Notably, injuries to motorcyclists increased at an annual rate of approximately 29 percent (95% confidence interval [CI]: 27–32; P < .001). The mean age of death due to road traffic crashes was 35 years. Fatalities due to RTIs increased at an annual rate of 7 percent (95% CI: 6–8; P < .001) for the period 2004 to 2009. Observational studies revealed that 69.45 percent of vehicles in Thika and 34.32 percent of vehicles in Naivasha were speeding. Helmets were used by less than one third of motorcycle drivers in both study districts, with prevalence rates ranging between 3 and 4 percent among passengers. Conclusions: This study highlights the significant burden of RTIs in Kenya. A renewed focus on addressing this burden is necessary. Focusing on increasing helmet and reflective clothing use and enforcement of speed limits has the potential to prevent a large number of road traffic crashes, injuries, and fatalities. However, it is difficult to demonstrate the magnitude of the injury problem to policymakers with minimal or inaccurate data, and this study illustrates the need for national continuous, systematic, and sustainable data collection efforts, echoing similar calls for action throughout the injury literature.