An automobile calamity is one of the key causes of death all over the world. According to [1], automobile accidents are the 3^rd cause of death in the world. Studies reveal that about 1.24 million individuals die each year as a result of traffic accidents. Majority of these deaths (85%) occur in poor countries. [2] predicted the high rate of Traffic injuries in the world, their report classified road accidents as the 3^rd cause of death in the world. The Global status report on road safety launched by WHO in December 2018, highlighted the number of annual road traffic deaths that reached 1.35 million. According to [3], road traffic accidents were the leading killer of persons in 2018. At the moment with the present pandemic (coronavirus), the position of road accidents as one of the major causes of death may witness a little change. Though this might not prove that the rate of accidents will reduce in the following years, the pandemic has reduced the number of people traveling, caused by the barrier measures during the pandemic. Every day, about 3700 people are killed in automobile vehicles, bus, motorcycle, bicycle, truck, or pedestrian accidents around the world. WHO had predicted the position of traffic accidents between 1998 and 2020 (Table 1).

According to the report of World Health Organization, Cameroon occupied the 29th position among countries with the highest number of accidents. They registered 758,145 accidents in 1879, with a mortality rate of 35.9. Considering the high rate of automobile crashes in the world, the sustainable development goals set by the WHO which calls for a 50% reduction in the number of road traffic deaths by 2020, stills remain a worrying target to reach at.

According to [4], the United Nations General Assembly unanimously adopted a resolution declaring the Decade of Action for Road Safety from 2011 to 2020 in March 2010. The Decade’s goal was to stabilize and reduce the global road death rates by 2020. This was to be achieved by strengthening road safety activities at the national, regional, and global levels. The resolution encourages all member states to set their own national road traffic casualties reduction goals for the decade and to carry out road safety activities, particularly in the areas of road safety management, road infrastructure, vehicle safety, road user behaviour, traffic safety education, and post-crash response.

Road traffic injuries (RTIs) are significant public health challenges and are projected to be the fifth leading contributor to the global burden of disease by 2030 [5] [6]. However, accidents are unfortunate and frequently occur on the road and cause death [7], infrastructures damage, and human health injuries [8]. RTI is a highly traumatic event, which can damage the body, spirit, and property. Majority of these road traffic deaths (93%) occur in low-and-middle-income countries [9]. The report of [10] shows that, in terms of road safety, Africa is not the example to follow. As per a WHO estimate, the continent’s road traffic mortality rate was 26.6 deaths per 100,000 people in 2018. There is thus an urgent need to recognize the worsening situation in road deaths and injuries and to take appropriate action [11]. Majority of the countries lose 3% of their GDP due to road accidents. Besides having a huge emotional impact on the quality of life, road crashes also pose a very significant socio-economic burden [12] on the country. Medical costs, loss of productive capacity, property damage, administrative expenditures, and human costs are all achieved at the expense of traffic deaths.

The causes of RTAs are multifaceted and can be divided into three categories: driver factors, vehicle factors, and highway factors [13]. The term “driver factors” refers to all proximal events linked with the driver’s behaviour that may result in serious injury. Josephine et al. arose attention to the impact of RTIs on Pacific peoples. They stress problems that needed to be addressed, such as drinking, poor driving, no seatbelt usage, and poorly maintained vehicles and roads. Vehicles running at excessive speeds and/or drivers disregarding traffic signals usually cause traffic accidents [14] [15]. Overloading is a frequent action among motorists, and it is the cause of many traffic incidents on our highways, especially in developing countries. It is critical to comprehend the numerous factors that contribute to traffic accidents [16]. Numerous elements have been identified through empirical research, most of which are connected to drivers, vehicles, roads, and the environment. These results were obtained from the research carried out by Batamag et al.

Thorough traffic accident investigation identified multiplicity factors that may or may not have contributed to an accident. Frequently occurring elements may indicate a common accident type or trend at a specific location. Published literature suggests that RTIs and their attendant risks are significant though the causes of death and disability are poorly quantified. Road traffic accidents are predictable and preventable but good data is important to understand the ways in which road safety interventions can be effective. Cost-effective preventive measures can be designed to address this global problem. Aldegheishem et al. [7] proposed the need to develop a protocol to avoid or prevent traffic accidents at the extreme level in order to reduce human loss. Minimizing the number of road accidents, will decrease the death rate caused by road accidents. Among the causes of accidents, driver’s behaviourial mistakes are the highest causinmg factors. Accidents caused by faulty vehicles system are ranked the last category of accident cause factors. The number of road accidents caused by vehicle systems is far from being negligible [17]. Existing studies of automobile accidents had focused primarily on injuries caused by driver’s error and road-related factors.

Surprisingly, limited effort has been devoted to identifying factors that increase the rate of accidents caused by vehicle systems. These systems may not directly be the cause of the accident but, can indirectly influence the causation of an accident. Most accident researchers are based on post-data to analyse the situations of traffic accidents. The fact that most researchers or reporters don’t say much about their contribution may stem from the fact that, they lack adequate information on how they might have caused or influence the accident. Panagiota et al. [18] evaluated accident causation models overtime which showed that there has been a shift from the sequence of events to the representation of the whole system. In terms of accident investigation procedures, there has been a steady shift from hunting for a single immediate cause to recognizing numerous causes overtime.

Since different models approach accident causation in different ways, methods linked to accident investigation models provide fragmented information regarding the cause of accidents. It is suggested that using a combination of model-method pairs could provide a more reliable Platform for accident analyses. The aim of this systematic review is to identify the different methods used to investigate the vehicle system-related cause factors of road traffic accidents. It assesses the opinion of researchers on how they often investigate the vehicle system cause factor which is in most cases very sensitive to investigate. Most vehicle systems that can participate in the causation of an accident always have temporal evidence that if not captured or properly investigated disappears overtime. This work samples the frequently used methods of analysing the causes of traffic accidents and exposes the common vehicle system factor that can cause an accident. Furthermore, it reveals the gaps that exist between the crash investigation methods. This review will help to develop better means of investigating and reporting vehicle system cause factors.

There is evidence that the occurrence of a traffic crash is the result of multiple contributory factors [41]. As addressed in this literature review, driver’s behaviour, geometrical and environmental conditions all contribute to traffic crashes and collisions. Statistically significant differences between the distribution of causes or factors contributing to the accident occurrence have been proven depending on the driver’s behaviour, environmental factors, and vehicle system [32] [42]. Hendricks et al. [33] classified the following contributing factors as follows: driver inattention 22.7%, vehicle speed 18.7%, alcohol impairment 18.2%, perceptual errors 15.1%, decision errors 10.1%, and incapacitation 6.4% [43]. Traffic accident statistics suggest that human errors contribute to major crash types. Long duration of driving is a substantial cause of fatigue-related accidents on motorways or major roadways [44]. Fatigue caused by driving for extended periods acutely impairs driver alertness and performance and can compromise transportation safety [45].

Limiting to one factor of accident causation sounds vague as improper overtaking, improper cutting in, improper turning right or left, improper parking or stopping, following too close, drunk driving, careless driving, passing prohibited roads, failure to stop at the crossing, failure to use a seatbelt, aiding and abetting of violation, etc., always accompany over-speeding in crash occurrence and injuries. This information is essential to the understanding of the causes and the ultimate means of preventing automobile crashes. Crash data in most cases have been used just for mitigation of traffic accidents, but can be used as a basis to set insurance premiums laws and to formulate licensing policies. The initial evidence to collect or visualize an automobile crash at the incident is to monitor the nature of the crash. The nature of the crash results in the gravity of injury sustained. Road construction and traffic policy-making depend on the types of accidents recorded overtime, to propose solutions that will prevent the future occurrence of a crash.

Eyong [51] conducted research to find out the influence of road safety and accident prevention in Cameroon. Traffic safety and accident prevention play a critical role in reducing and protecting human life and property on the roadway. It was established that accidents were a result of more human factors like speed, overloading, non-respect of road signs. Their findings show the overall relationship between improving road safety and accident prevention in Cameroon. They gave three categories of proposals to the stakeholders; Identification of black spots/accidents prone spots, the need for a lead agency on road safety, Creation of a data bank in ascertaining the magnitude and characteristics of the road safety problem, this included implementation of better sensitization techniques through the media outlets, and better strategies for preventing overspeeding. Laure et al. [37] conducted a pilot study of police reports on the Yaoundé-Douala high, finding 73 deaths per million kilometres between 2004 and 2007. The researchers wanted to assess road morbidity and mortality, as well as define the key characteristics of road traffic crashes on a busy Cameroonian road. The most serious collisions involved vulnerable road users and cars travelling in opposite directions, and the leading causes of fatal collisions were dangerous overtaking, excessive speed, and mechanical breakdowns, with tyre difficulties accounting for two-thirds of the latter.

Tsala [29] carried out research to better understand accident-related approaches on Cameroonian highways. Their findings showed a correlation between traffic accidents and signalling. Their case study focused on the Yaoundé-Douala roadway, which runs for around 242 kilometres. They created accident scenarios based on crashes on one hand, and road signalling on the other, using the qualitative method. There were eight scenarios identified for collision-related accidents. These include violations of the highway law, failure to signal a construction zone, driver indifference, poor parking, improper overtaking, the lack of a slightly higher bump, failure to signal damaged work, and no crossroads signposting.

Tsala et al. [30] studied the Douala-Dschang roadway. The purpose of their study was to look into the risk factors that lead to reckless driving and other related causes of road accidents on the Douala-Dschang highway in Cameroon. They uncovered six factors that influenced an accident’s causes. Accidents were caused by speed and negligence, as well as the accident’s location, the type of vehicle to blame, the day of the accident, the hour of the accident, and the drivers’ ages. All previous study was based on secondary data obtained overtime from police records.

In the event of an accident, police authorities have particular tasks and functions that are routinely prescribed by law. Because of their position and purpose in society, police officers must perform exactly what is required of them and nothing more. As a result, there is a rigidly structured process that does not adjust to the individual scenario. Although the standards are generally relevant and sufficient, some key data may be overlooked in unique instances. The level of detail in police reports about the accident circumstances is frequently insufficient for in-depth analysis. The quality of reports is typically determined by the staffing resources available in police units, resources that must be shared among the various responsibilities of police agencies: criminal prosecution, public security, and supporting the judiciary through criminal proceedings. Therefore, the police staff report should not be the only dependent evidence expected factors of importance for the understanding of the accident occurrence.

The last group, as a cause of automobile accidents, is the vehicle system, which accounts for 1% - 15% of all accidents in most nations. The aim of this systematic review was to assess the different methods used to investigate the vehicle system cause-related factors of road traffic accidents. There is evidence that the occurrence of a traffic crash is the result of multiple contributing factors. Driver’s behaviour, road geometries, and environmental conditions all contribute to traffic crashes and collisions. Statistically significant differences between the distribution of causes or factors contributing to the accident occurrence have been proven depending on the driver’s behaviour, environmental factors, and vehicle system. Furthermore, the cross-examination of studied samples evaluated the cause factor investigated and the method used to scrutinize these factors. The research work was largely restricted to studies that looked into the role of vehicle systems as a causal factor of an accident. The other risk variables were not taken into account. Despite the fact that several samples looked into certain parts of driver and vehicle system-related issues, defective vehicle systems (brake (15.71), tyre (12.86), overloading (11.43), and other factors are among the 25 causes of accidents identified in the study sample size. Others are intertwined in the accident’s cause. Majority of the people in the study group were speeding. The articles that were looked at were mostly from underdeveloped countries. This reveals the limitations of this research in terms of advanced systems and policy implementation. There are virtual, limited policies on how to execute transportation policies targeted at reducing the high accident rate. Vehicle systems and road infrastructures are rarely included in reviews from developed countries. This is because they may be in charge of creating and enforcing transportation legislation that governs the industry. The inspection of a vehicle is not something to be taken lightly. If found to be faulty, the concern pays a hefty fine. High-Income Countries (HIC) are currently concentrating their efforts on examining driver behaviour and driving altitude. Owners and drivers of automobiles are required to respect road traffic regulation. To preclude the shortcomings of the existing reviews, we are proposing included reporting samples and technological solutions that will monitor and better report the participation of vehicle system in the causation of an accident. This will enhance the investigation and reporting of the causes of automobile crash causes including all the risk factors.

We highly appreciate all those who participated in the publication of this article, most especially the supervisor Prof NDOH MBUE Innocent and the co-supervisor Dr. AYISSI Zacharie Merlin respectively for their delightful assistance in this research work. Our endless appreciations equally go to the doctorate student, AZEH GERALD for the active cooperation.

The authors declare no conflicts of interest regarding the publication of this paper.

Achiri, A.T., Mbue, I.N., Merlin, A. and Gerard, A. (2022) Automobile Crash Investigation Based on Vehicle System Related Causes: Systematic Literature Review. World Journal of Engineering and Technology, 10, 139-157. https://doi.org/10.4236/wjet.2022.102008