Road Traffic Deaths Research Articles

Towards Computationally Efficient and Realtime Distracted Driver Detection With MobileVGG Network

According to the World Health Organization (WHO) report, the number of road traffic deaths have been continuously increasing since last few years though the rate of deaths relative to world's population has stabilized in recent years. As per the survey of National Highway Traffic Safety Administration (NHTSA), distracted driving is a leading factor in road accidents. In this paper, we present a Convolutional Neural Network (CNN) based approach for detecting and classifying the driver distraction. In the development of safety features for Advanced Driver Assistance Systems, the algorithm not only has to be accurate but also efficient in terms of memory and speed. Hence, we focused on developing computationally efficient CNN while maintaining good accuracy. We propose a new architecture named as mobileVGG based on depthwise separable convolutions. We evaluate results of the proposed network on the American University in Cairo (AUC) distracted driver detection dataset as well as Statefarm's dataset on Kaggle and compare the performance with state-of-the-art CNN architectures from literature. Our proposed mobileVGG architecture with just 2.2M parameters outperforms earlier approaches while achieving 95.24% and 99.75% accuracy on AUC and Statefarm's dataset respectively with less computational complexity and memory requirement.

A novel integration of smart vehicles and secure clouds for supervising vehicle accidents on roads/highways

Precluding death percentage from road accidents has always been challenging task for technologists and scientists of this earth. As per the recent reports of world health organization approximately 1.5 million people including children and women are getting sudden and sad demise from road accidents. Approximately 25% of these deaths are because of non-availability of in-time medical aid and the existing automobile automatic communication technology is feeling helplessness. Although, the existing technologies of this earth and their integrations can help to the persons who are trapped in accidents and getting sudden demise. It is the social responsibility of scientists and researchers to work in the direction of developing easily accessible technologies which can provide immediate help on urgent basis to the persons struggling for life on the place of accident. This research work uses secure cloud (SeC) based online cameras called virtual eyes and internet of things (IoT) for developing a flawless and intelligent road traffic accident death prevention system called Intelligent Road Transportation Management and Control System (IRTMCS). The proposed IRTMCS is reliable, economically feasible and innocuous. The implementation and installation of the proposed system in existing vehicles can save the life of millions of people every year. In this research paper, the author has presented an innovative SeCBVE (Secure Cloud Based Virtual Eye) based IRTMCS (Intelligent Road Transportation Management and Control System) for preventing the deaths of individuals including women and children in road accidents. The implementation of the proposed approach brings us to a juncture where death percentage of persons in road accidents is decreased by 25% and approximately the life of approximately 400,000 (Four Hundred Thousand) persons including women and children can be saved every year by using the proposed system. The proposed approach uses secure cloud (SeC) based online cameras called virtual eye and internet of things (IoT) for implementing an unblemished and smart road traffic accident death prevention system. The proposed SeCBVE based IRTMCS is capable to help the investigators in finding the cause of accident and it will help the judicial system in tracing the culprit on the basis of stored video images. It can be concluded from the results and discussions sections that the proposed SeCBVE based IRTMCS gives promising performance in terms of efficiency, consistency and fault tolerance and it includes all the necessary features which are required for accountable, reliable and flawless road traffic accident death prevention systems (RTADPS). The implementation and installation of the proposed system in existing vehicles can save the life of millions of people every year.

Understanding Etiologies of Road Traffic Crashes, Injuries, and Death for Patients at National Hospital Abuja: A Qualitative Content Analysis Using Haddon’s Matrix

Road traffic crashes and sequelae are reaching pandemic proportions globally and have currently achieved disproportionately high levels in Nigeria. Quantitative studies are accumulating in the peer-reviewed literature, but there is a paucity of qualitative research in Nigeria. Data for this study of structural and behavioral factors of road traffic crashes and injuries in Federal Capital Territory were collected in semi-structured interviews with crash survivors at National Hospital Abuja. Interviews were analyzed via qualitative content analysis, revealing crash location and participant beliefs about crash etiologies. Units of analysis were developed from participant statements and were structured within four a priori etiologic categories using Haddon’s (1980) matrix: human-, vehicle-, physical environment-, and socioeconomic environment-related. Subcategories were generated. Human-related subcategories included reckless behavior and drivers, limited technical knowledge and skill. Vehicle-related subcategories included vehicular disrepair and lack of safety equipment. Physical environment-related subcategories included road disrepair, infrastructural inadequacy, and weather. Socioeconomic environment-related subcategories included government, prehospital care, money, and prayer. Subcategories were organized temporally by pre-event, event, and post-event phases, with most units of analysis allocated in the pre-event phase. These qualitative results can be utilized to guide future research along community-aligned priorities, and to structure community-engaged preventative and interventional efforts.

Correlation of Injury Severity Score with Survival time in Fatal Road Traffic Accidents in Central Indian Population

The study was carried out in the department of forensic medicine at Government College and hospital,Nagpur over a period of one and half year on 200 dead bodies of victims of road traffic fatalities broughtto mortuary for medico-legal post mortem examination. The aim of study was correlation between injuryseverity score (ISS) and survival time of victim of road traffic accidental deaths. The ISS was calculatedfrom abbreviated injury scale (AIS). The cases were divided into four groups based on their ISS, wherethe group with less serious injuries (ISS<25) was considered survivable The second group (ISS 25-49)was considered as severe, third group (ISS 49-74) was critical and four group (ISS 75) was fatal . Survivaltime was more in victims of road traffic accidents who had injury severity score (ISS) less than 25. On thecontrary to this, victims who had ISS more than 25 (25-74), survival time was low. Victims who had ISS 75died on spot or within 1 hours of fatal road traffic accidents. The ISS score is negatively correlated with thesurvival time with pearson’s correlation coefficient r=-.0.419 which is highly significant (p<0.0001).

The Lack of First Aid Skills as a Contributing Factor of High Road Traffic Fatality Rates in the Russian Federation

Background: The Russian Federation is among the countries with the highest road traffic fatality rates in the WHO European Region. One of the main reasons for that is the personal attitude of traffic participants to safety that includes medical illiteracy and unpreparedness to render first aid to the injured. Our objective was to study failure to give quick and competent first aid as one of the possible causes of road traffic deaths in the Russian Federation and to identify potential ways of improving the situation. Materials and methods: In May-September 2018, in January and June 2019, we conducted a survey of 403 Russian citizens (284 men and 119 women) having a driver’s license and driving experience in different Russian regions including the Volgograd Region, the Krasnodar Krai, the Rostov Region, Moscow, etc. The respondents were asked to answer the questions about first aid training courses in driving schools, prior involvement in road traffic accidents, and first aid techniques. Results: Most of the respondents (63%) reported having had first aid training courses at driving schools given by driving instructors and almost a quarter of the respondents (23%) reported having never had such courses at all. Approximately 68% of the survey participants had no first aid training using dummies. About 17% witnessed traffic collisions and provided at least some level of first aid while almost 14% could not give any help due to the stressful situation or fear to do harm to the injured. We then calculated the number of correct and complete answers rated 1 and 2 points according to the estimation scale and drew a control chart of the average value. The analysis of the control chart showed that 331 of 403 participants (82%) passed our test. Conclusions: Although the results were not as bad as might have been expected, significant gaps in basic first aid knowledge did exist: some respondents failed to answer the questions correctly. Given that in addition to theoretical knowledge the person should be able to use this knowledge decisively and calmly, without panic and the fear of blood, the percentage of those who can really help is even lower. First aid training courses in driving schools shall be mandatory and must be given by medical professionals. Governmental regulatory authorities should pay special attention to this issue when licensing. At the same time, more emphasis should be placed on first aid training in educational institutions (kindergartens, schools, colleges, and universities). In addition, we recommend compulsory first aid training of professional drivers of commercial vehicles.

Impact of a postcrash first aid educational program on knowledge, perceived skills confidence, and skills utilization among traffic police officers: a single-arm before-after intervention study

BackgroundAn overwhelming proportion of road traffic deaths and injuries in low- and middle-income countries (LMICs) occur in prehospital environments. Lay first responders such as police officers play an important role in providing initial assistance to victims of road traffic injuries either alone or in collaboration with others. The present study evaluated a postcrash first aid (PFA) educational program developed for police officers in Tanzania.MethodA 16-h PFA educational program was conducted in Dar es Salaam, Tanzania, for 135 police officers. Participants completed training surveys before, immediately and 6 months after the training (before, N = 135; immediately after, N = 135; after 6 months, N = 102). The primary outcome measures were PFA knowledge, perceived skills confidence, and skills utilization. Parametric and nonparametric tests were used to analyse changes in outcome.ResultsThe mean PFA knowledge score increased from 44.73% before training (SD = 20.70) to 72.92% 6 months after training (SD = 18.12), p < .001, N = 102. The mean PFA perceived skills confidence score (measured on a 1–5 Likert scale) increased from 1.96 before training (SD = 0.74) to 3.78 6 months after training (SD = 0.70), p < .001, N = 102. Following training, application of the recovery position skill (n = 42, 46%) and application of the bleeding control skill (n = 45, 49%) were reported by nearly half of the responding officers. Less than a quarter of officers reported applying head and neck immobilization skills (n = 20, 22%) following training.ConclusionA PFA educational program has shown to improve police officers’ knowledge and perceived skills confidence on provision of first aid. However qualitative research need to be conducted to shed more light regarding reasons for low utilization of trained first aid skills during follow-up.

Fraccidents: The Impact of Fracking on Road Traffic Deaths

Hydraulic fracturing, a.k.a., fracking, requires intense truck trips to transport a large volume of water within a narrow time window, posing a safety threat to other road users. This paper examines how fracking-related trucking affects fatal crashes in North Dakota using the exogenous timing of fracking operations near a road segment. The results show that an additional post-fracking well within six miles of a road segment led to 8% more fatal crashes and 7.1% higher per-capita costs in accidents. Transport activities at wells’ other operational stages did not affect fatal crashes. These additional fatal crashes emerged mainly from collisions involving trucks, resulted from a higher traffic volume rather than a higher crash rate and occurred during daytime rush hours rather than during the rest of the day. Alcohol-involved drivers increased among these fatal crashes most likely due to their vulnerability to heavier fracking-induced traffic rather than more alcohol-involved truck drivers near the fracking sites.

Fraccidents: The impact of fracking on road traffic deaths

Hydraulic fracturing, a.k.a., fracking, requires intense truck trips to transport a large volume of water within a narrow time window, posing a safety threat to other road users. This paper examines how fracking-related trucking affects fatal crashes in North Dakota using the exogenous timing of fracking operations near a road segment. The results show that an additional post-fracking well within six miles of a road segment led to 8% more fatal crashes and 7.1% higher per-capita costs in accidents. Transport activities at wells’ other operational stages did not affect fatal crashes. These additional fatal crashes emerged mainly from collisions involving trucks, resulted from a higher traffic volume rather than a higher crash rate and occurred during daytime rush hours rather than during the rest of the day. Alcohol-involved drivers increased among these fatal crashes most likely due to their vulnerability to heavier fracking-induced traffic rather than more alcohol-involved truck drivers near the fracking sites.

Pattern of injuries in road traffic accidents cases reporting to accident and emergency department of a hospital in Maharashtra

Introduction: Roads are considered a sign of development bringing a lot of advantages to people of this planet. Yet, growth of road network has brought road crashes leading to premature deaths and frequently morbidity and disability of productive age group. A study has been designed to study the pattern of injuries and associated demographic factors. Aim & Objective: To record the pattern of injuries after conducting the examination of the victims of Road Traffic Accident and study the demographic factors. Results: A total of 226 patients were examined who were victims of road traffic accidents. Among victims 190 were male (84.07%) and 36 (15.93%) were female. 30.97% cases were seen in 21-30 years age group which was highest in different age distribution. Abrasions were most common in non fatal accidents (54.62%) followed by contusion (20.25%). The most common anatomical part to be injured is lower limb (37.39%) followed by upper limb and face. Among fractures, upper limb fractures (n=22) were more common than lower limb fractures (n=12). Most of the victims were two-wheeler riders ie 38.20%. The most common site of accident was the straight roads (45.13%) followed by highways. Conclusion: It may be concluded that there is urgent need to address the epidemic carnage on the roads. Road traffic deaths are to a great extent preventable if due care is taken both by individual and also by the administrative authorities. Keywords: Road Traffic Accidents, Injuries, Accident and Emergency Department.

Pattern of common injuries in road traffic accidents

Road accidents kill large number of people and it is as ‘war on the roads’. According to a WHO report, the number of road traffic deaths continues to climb, reaching a high of 1.35 million in 2016 is the 8th leading cause of death for all age and is the leading cause of death for children and young adults.1 It worse, 80 per cent of these deaths and injuries take place in the developing countries. Road traffic accidents have got multi-factorial causation. The time taken between the accident and reaching the hospital is critical and that is a very important lacuna in providing medical aid to the victims. There are no good mobile ambulance services and well-run trauma centers available except few. After institutional ethical clearance for the study, study was carried out at Mortuary of Dept of Forensic Medicine, GGS Medical College, Faridkot. It is prospective study. All the dead bodies brought for postmortem examinations during the period Jan 2011-Dec 2017 were analyzed. The detailed analysis of these cases was based on the inquest report, medical records, and evaluation of autopsy reports. Out of 1518 medico legal autopsies studies during the study period, 33.66% were of vehicular accident fatalities with commonest vulnerable age group is 20-30 years 28.96%, with preponderance of 91% males and majority were of 71% rural residence of which 41.09% were hospitalized. Brain injury 56.61% in majority location of internal organ injury on the body. With regard to musculoskeletal injuries topped the list of injuries of RTA in all age groups of victims involving the limbs 46.97%. Wounds are produced which are in combinations of abrasion, contusion, lacerations and fracture dislocation seen majority of cases. The most common cause of death was Injury to brain 52.05%, maximum 45% died within one hour of the incidence. Road traffic accidents continue to be a speedily rising problem, causing heavy loss of manpower and resources. Road users should be properly trained by auth

Safe mobility, socioeconomic inequalities, and aging: A 12-year multilevel interrupted time-series analysis of road traffic death rates in a Latin American country.

As the resources for road safety in developing countries are scarce and unevenly distributed, vulnerable road users -such as the elderly- may be particularly at risk of road traffic deaths. To date, the impact of road safety measures over the rate of road traffic deaths in older adults (60 years or older), considering the within-country socioeconomic inequalities, has not been explored in developing nations. This study takes the Chilean case as an example -with its 2005 traffic law reform as one of the road safety measures investigated-, in which open data available from official national sources for all its 13 regions over the 2002–2013 period were used for a multilevel interrupted time-series analysis. A statistically significant secular reduction of the rates of road traffic deaths in the elderly population was found (incidence rate ratio [IRR] 0.95, 95% confidence interval [CI] 0.91 to 0.99), but no evidence for a significant intercept or slope change after the traffic law reform was observed. Regions with the highest number of traffic offenses prosecuted in local police courts had lower rates of road traffic deaths in older adults (IRR 0.95, 95% CI 0.90 to 1.00), and those regions in the third (IRR 1.61, 95% CI 1.16 to 2.25) and the fifth (IRR 1.66, 95% CI 1.08 to 2.54) quintiles of socioeconomic deprivation had higher rates of road traffic deaths in the elderly. Such findings strongly support the conceptualization of the road safety of seniors in developing countries as a social equity issue, with implications for the design of traffic regulations and road environments.

Forecasting Road Traffic Deaths in Thailand: Applications of Time-Series, Curve Estimation, Multiple Linear Regression, and Path Analysis Models

In 2018, 19,931 people were killed in road accidents in Thailand. Thus, reduction in the number of accidents is urgently required. To provide a master plan for reducing the number of accidents, future forecast data are required. Thus, we aimed to identify the appropriate forecasting method. We considered four methods in this study: Time-series analysis, curve estimation, regression analysis, and path analysis. The data used in the analysis included death rate per 100,000 population, gross domestic product (GDP), the number of registered vehicles (motorcycles, cars, and trucks), and energy consumption of the transportation sector. The results show that the best three models, based on the mean absolute percentage error (MAPE), are the multiple linear regression model 3, time-series with exponential smoothing, and path analysis, with MAPE values of 6.4%, 8.1%, and 8.4%, respectively.

How much would low- and middle-income countries benefit from addressing the key risk factors of road traffic injuries?

Despite strong advocacy, the UN Decade of Action for Road Safety (2011–2020) is ending with most low- and middle-income countries (LMICs) no closer to the Sustainable Development Goals target of reducing traffic mortality by half. In contrast, most high-income countries (HICs) have seen large benefits in recent decades from large-scale safety interventions. We aimed to assess how much LMICs would benefit from interventions that address six key risk factors related to helmet use, seatbelt use, speed control, drink driving, and vehicle design for safety of occupants and pedestrians. We use a comparative risk assessment framework to estimate mortality and health loss (disability adjusted life years lost, DALYs) that would be averted if these risks were reduced through intervention. We estimate effects for six countries that span all developing regions: China, Colombia, Ethiopia, India, Iran, and Russia. We find relatively large benefits (27% reductions in road traffic deaths and DALYs) from speed control in all countries, and about 5%-20% reductions due to other interventions depending on who is at risk in each country. To achieve larger gains, LMICs would need to move beyond simply learning from HICs and undertake new research to address risk factors particularly relevant to their context.

Targeted prevention of road traffic deaths in Greece: a multifactorial 5-year census-based study.

Between 2012 and 2016, Greece suffered yearly more than 800 deaths from road traffic incidents (RTIs), holding one of the worst performances in the European Union for RTI-related deaths per population. Our primary aim is to identify risk factors associated with mortality to set a targeted policy framework on road safety. This is a retrospective analysis of data collected prospectively from Traffic Police. A correlation of 29 factors with adult drivers' mortality was made, applying multivariate logistic regression models. At a second stage, a scoping literature review identified the best possible targeted prevention measures. A total of 93,019 drivers with a mean age of 42.2 ± 0.1years were recorded, of which 2772 (3%) died. Age above 65 (aOR 3.1, p < 0.001), non-use of seatbelt (aOR 8.2, p < 0.001) or helmet (aOR 2.85, p < 0.001) and alcohol consumption (aOR 3.3 for cars, 4 for motorbikes, p < 0.001) were the driver-related parameters with the strongest correlation with a fatal outcome. Drivers' behavior with specific high-risk maneuvers increased odds of death 2-4 times, depending on vehicle type. One-lane, rural road network was the environmental factor with the most significant impact. Based on the results of the analyses, our scoping review identified and suggested 23 specific measures for the Greek government and policymakers to examine. Human-related factors were the parameters with the strongest impact on mortality after an RTI in Greece. These findings demonstrate an educational gap that must be primarily addressed with the introduction of missing road safety education in schools and an intensified and innovative population awareness campaign.

World Health Organization's estimates of death related to road traffic crashes and their discrepancy with other countries' national report.

:Background:Due to a lack of effective registry system for road traffic deaths, some international organizations like the World Health Organization provide the estimated number of road traffic deaths. It was shown that there are differences in the number of road traffic deaths between the WHO estimates and national reports even in High-Income Countries. This study aimed to an investigation of reasons for differences between the national reports and world health organization estimates about road traffic deaths. Methods:This study focus to investigate the World Health Organization reports of Global Status Report for Road Safety in years of 2009, 2013, 2015 and 2018 and related articles about the estimates of deaths related to road traffic crashes and the observed differences between the WHO estimates and national reports.Results:The findings showed that the observed differences between the WHO estimates and national reports could be due to errors in the road traffic death registration system, errors in the regression model which was used for estimation, proposed variables for estimations, or all of them.Conclusions:The estimations of WHO about road traffic deaths can be useful for countries especially for those which don’t have the road traffic registry system or the registry system does not meet the quality criteria. These estimates may not be sufficiently robust if disregard for spa-tial differences, the epidemiological pattern of risk factors among the countries, and the type of regression model which was used for estimation.

Injury-related deaths in Enugu, Nigeria from 2010 to 2016: a descriptive review

Introductiondeath from injuries is a global public health problem. Ninety percent occur in low- and middle-income countries like Nigeria. This study aimed to determine the burden and demographic characteristics of injury-related death in Enugu, Nigeria.Methodsthis is a retrospective study of injury-related deaths in Enugu over a 7-year period. Standardized forms were used to collect data from autopsy reports archived in the Forensic Unit of Enugu State University Teaching Hospital, Enugu and a descriptive analysis of collected data performed.Resultsof the Coroner deaths examined in the period reviewed, 1,067 (86.9%) were injury-related. The male-to-female ratio was 5.2: 1. Mean age of victims was 34.2 ± 14.3years and range was 8 months to 86 years. Most victims (56.7%) aged 21-40 years. Accidents accounted for most deaths (53.2%) followed by homicide (44.3%). Road traffic deaths (51.4%), cult/gang violence (20.8%) and robbery (14.7%) were the commonest. Suicide (0.5%) and domestic violence (0.7%) were the least. More females died in domestic incidents while more males died in all other circumstances. Firearm (56.7%) was the most common weapon followed by knife (19%). Knife and wood (28.7% each) were the commonest weapons in domestic violence. Generally, fatal incidents occurred more in the day-time (65.5%). Most robberies (80.4%) occurred at night. Most cult/gang killings (75.2%) and robberies (81.7%) occurred in public places and at homes respectively.Conclusioninjury is the highest source of Coroner's death in Enugu. Efforts to curb it are insufficient. A definitive policy on the prevention and management of injury-related deaths is needed.

Transport accident mortality time trend and spatial distribution in Piauí, Brazil, 2000-2017.

To analyze the time trend and spatial distribution of transport accident (TA) mortality in Piauí, from 2000 to 2017. An ecological time series study was conducted using Mortality Information System (SIM) data on TA mortality among people resident in the state of Piauí, according to sex, age group and municipality. Prais-Winsten regression was used. 14,396 deaths were recorded. The mortality rate per 100,000 inhabitants was 13.9 in 2000 and 30.6 in 2017. There was a significant increase in the TA mortality rate (annual percent change [APC] of 6.4% - 95%CI 4.3;8.7), being higher among motorcyclists (APC=14.7% - 95%CI 9.7;20.0) and among vehicle occupants (APC=15.2 - 95%CI 10.5;20.2). There was significant increase in TA mortality in Piauí, especially among motorcyclists and vehicle occupants. Actions are needed to promote road safety and to prevent road traffic deaths.

Towards the Development of Traffic Safety Strategies in Developing Countries: Analysis of Road Users’ Perspective

The rapid growth of automobile ownership and use in developing countries resulted in an exponential growth in road traffic related fatalities and injuries. It is estimated that 1.25 million road traffic deaths occur in the world every year (WHO, 2015), most of them in developing countries in which more than 51% are vulnerable road users. The complexity and unexpected nature of the traffic accidents put the decision makers confronted with the quandary of forming a particular combination of measures to reduce traffic accidents. Despite this problem, few empirical studies have so far been undertaken to analyze the selection of the traffic safety strategies and to identify key selection measures. This study is designed to fill these research gaps. Two methods: the Customer Satisfaction Index (CSI) and the Analytic Hierarchy Process (AHP) method are proposed to achieve these objectives. The first method aims to collect general views from road users to identify the traffic problems, while AHP method was conducted to prioritize and assign the important weightings for the selected measures.

Road traffic accident and associated factors among traumatized patients at the emergency department of University of Gondar Comprehensive Teaching and Referral Hospital

INTRODUCTION: Road traffic accident (RTA) is an incident on a way or street open to public traffic that becomes one of the most critical public health problem in the world especially in developing countries. According to WHO, every day more than 3000 people die from a road traffic accidents. Developing countries account for 90% of global road traffic deaths. Road traffic accidents are being the critical public health problem that causes disabilities and death in Ethiopia which could need due investigations. METHOD: a six-month institutional-based cross sectional study was used on patients visited the University of Gondar Comprehensive Teaching and Referral Hospital to determine RTA and associated factors. A semi-structured pre-tested checklist was used to gather the data on the patient´s chart systematically. The collected data were analyzed using SPSS version 21. RESULT: from a total of 307 traumatic patients 103(33.6%) were road traffic accident victims. The mean age of the victims was 29 (SD ±13.55). Among the victims, 40(39%) have died. Adjusting all other factors in the final model, the multivariate analysis revealed that age of injured patient AOR (95% CI) = 0.03 (0.001, 0.905), occupation AOR (95% CI) = 0.01(2.037, 92.243), month of the year AOR (95% CI) = 0.12(0.035, 0.442, and time of the day, AOR (95%CI) =0.22 (0.108, 0.459) were found significantly associated with road traffic accident. CONCLUSIONS: RTAs were found to be the major public health problem that needs due attention by the government, transport minister and federal police in collaboration.

An artificial intelligence based crowdsensing solution for on-demand accident scene monitoring

Abstract Road traffic crashes have a devastating impact on societies by claiming more than 1.35 million lives each year and causing up to 50 million injuries. Improving the efficiency of emergency management systems constitutes a key measure to reduce road traffic deaths and injuries. In this work, we propose a comprehensive crowdsensing-based solution for the real-time collection and the analysis of accident scene intelligence as a means to improve the efficiency of the emergency response process and help reduce road fatalities. The solution leverages sensory, mobile, and web technologies for the real-time monitoring of accident scenes, and employs Artificial Intelligence for the automatic analysis of the accident scene data, to allow the automatic generation of accident intelligence reports. Police officers and rescue teams can use those reports for fast and accurate situational assessment and effective response to emergencies. The proposed system was fully implemented and its operation was successfully tested using a variety of scenarios. This work gives interesting insights into the possibility of leveraging crowdsensing and artificial intelligence for offering emergency situational awareness and improving the efficiency of emergency response operations.