Number Of Motorcycle Accidents Research Articles

Comprehensive study on the development of an automatic helmet violator detection system (AHVDS) using advanced machine learning techniques

The number of motorcycle accidents has increased rapidly due to different causes. Helmet is a one of the major safety equipment that helps to reduce the fatal accidents even though many of the motorcyclists are not used that. Currently many researchers have focused on traffic violator detection but they are yet to identify the violated person details as it requires high resolution cameras and expensive sensors for number plate extraction. This research article is focused on comprehensive study on the development of an automated helmet violation detection with number plate extraction in real time. This study divides the dataset into rider with helmet, rider without helmet, passenger with helmet and passenger without helmet classes, and four training model was created to detect helmet in rider and passengers. The proposed model was constructed in three stages to attain high accuracy with a vast amount of training dataset. In the first stage, the helmet was detected in the input image using the deep learning object-detection model .In the second stage, if the helmet identification confirmed in the input image then the entire motorcyclist image is segmented based on object segmentation model. In the third stage, number plate training model is deployed into the same object detection and object segmentation model to identify and segment the license plates in the motorcyclist image. This study primarily incorporates the Mask Region based Convolution Neural Networks (Mask R-CNN) for object detection and segmentation Further, it incorporates the three different deep neural networks like Dense block Network (DenseNet-121), Residual Network (ResNet-101) and Inception Residual Network architecture V2layers (Inception Res Net V2) to create accurate helmet violator detections with more extensive information. The experimental results indicates that this comprehensive helmet violator detection study improves the helmet detection accuracy by 6.2 %.In addition, the above three comprehensive proposed models are evaluated under Wilcoxon rank test for better sensitive information. Further, the less object detection loss (2 %) and significant computational time variation (69 %) indicates the performance of the comprehensive helmet violator detection system was good compared to existing study.

Helmet Detection and Number Plate Recognition

Abstract: Developing countries have always relied on motorcycles as their primary mode of transportation, but unfortunately, the number of motorcycle accidents has been on the rise in recent years. One of the leading causes of fatalities in these accidents is the lack of helmet usage by motorcyclists. To ensure that motorcyclists wear helmets, traditional methods include manual monitoring by traffic police at intersections or the use of CCTV footage to identify those not wearing a helmet. However, these methods require significant human effort and intervention. This system proposes an automated approach to identify nonhelmeted motorcyclists and retrieve their license plate information from CCTV footage. The system first differentiates moving objects as motorcycles or non-motorcycles. For classified motorcyclists, the system identifies whether they are wearing helmets or not. If the motorcyclist is not wearing a helmet, the system extracts the license plate number using an OCR algorithm.

The effect of driver age and working hours on increased motorcycle accidents with the COVID-19 pandemic: a cross-sectional case study

Aim: In the present study, the purpose was to investigate the effects of environmental and personal risk factors on accidents in the motor courier business, which expanded with the pandemic.
 Material and Method: A total of 227 patients who applied to the Emergency Department after motorcycle accidents between After Pandemic (AP) March 2020-March 2022 and Before Pandemic (BP) March 2018-March 2020 period were included in the study. Statistical differences were analyzed regarding the number of motorcycle accidents before and after the pandemic, the occupation of the patients, driving experiences, weather conditions, and the timing of the accident.
 Results: No statistically significant differences were detected between the mean age, gender distribution, occupational distribution, accident occurrence time, and duration of experience of the patients in motorcycle accidents admitted to the Emergency Department (p>0.05). Statistically significant differences were detected between the weekly working hours of the patients BP and AP (p

Edukasi Safety Riding Pada Pengendara Ojek Pangkalan

In recent years, motorcyclists have experienced an increase in road traffic accidents. Factors causing accidents include human factors, infrastructure, and the environment. One of the efforts to reduce the accident rate is by increasing the knowledge of the riders which in turn can improve orderly traffic behavior. Still found base motorcycle taxi drivers who are not orderly in traffic. The high potential and number of motorcycle accidents, especially at base motorcycle taxis, requires prevention by implementing safety riding awareness. The purpose of this community service is to increase the knowledge of base motorcycle taxis about safety riding. Mitra is a base motorcycle taxi at Pasar Minggu Station. The method used is education about safety riding. Education discusses the number of vehicle accidents, the impact, the importance of safety riding and the obligation of riders to ensure passengers feel safe and comfortable. Traditional taxi bike riders are quite enthusiastic about the material presented and there is an increase in knowledge from 67% to 81%. The implementation of education about safety riding has a positive effect on public knowledge about driving safety.

Magnetic Resonance as a Method for Diagnosis for Traumatic Lesions by Brachial Plexus Avulsion.

Objective The incidence of traumatic brachial plexus injuries has been increasing considerably in Brazil, mainly due to the increase in the number of motorcycle accidents. The aim of the present study is to evaluate the sensitivity and specificity of magnetic resonance imaging (MRI) in the diagnosis of brachial plexus avulsion lesions, comparing it with the findings of physical and intraoperative examination. Methods A total of 16 patients with brachial plexus injury were prospectively evaluated and treated at the hand surgery outpatient clinic from our service. All patients underwent MRI of the brachial plexus, and the findings were inserted on a table, as well as the physical examination data, and part of the patients had the plexus evaluated intraoperatively. Results In the present study, the accuracy of MRI in the identification of root avulsion was 100%, with 100% sensitivity and specificity when comparing imaging with surgical findings. Conclusion Magnetic resonance imaging showed high sensitivity and specificity, confirmed by intraoperative findings, which allows considering this test as the gold standard in the diagnosis of avulsion in traumatic brachial plexus injuries.

The Requisite for Motorcycle Personal Protective Clothing: Malaysia's Perspective


 
 
 Nearly 1.3 million people are killed and up to 50 million people are injured on the world's roads every year. Approximately 30% of road deaths involve motorcyclists especially in the ASEAN region. In Malaysia, the number of motorcycle accidents is consistently increasing in parallel with the rising number of registered motorcycles. Motorcyclists are categorized under vulnerable road users (VRUs) due to their disadvantages in terms of safety. It is believed that personal protection equipment (PPE) is able to mitigate and minimize motorcyclist injuries resulted from road crashes. The most basic PPE for motorcyclist is the helmet which is made mandatory in many Southeast Asia countries due to its effectiveness in reducing head injuries. Other than that, protective clothing is also vital to protect human body parts from trauma. This study attempts to explore the effectiveness of motorcycle protective clothing performance available in Malaysia. Selected motorcycle protective clothing was tested using anthropometric test device, calibration equipment and instrument. In addition, a market survey was conducted to explore and examine the types and trends of motorcycle protective clothing available. This study finds that motorcycle protective clothing with protector i.e. padding and airbag can provide potentially reduced neck and chest injury in contrast with those with no protection. Furthermore, the result reveals that 55% of the protective clothing available is made of synthetic material. The overall results provide significant information that is useful in the development of countermeasures to improve motorcyclists' safety.
 
 

Mobile phone use among Indonesian motorcyclists: prevalence and influencing factors

Objective Indonesia is one of many developing countries that relies on motorcycles as a major mode of transportation. Unfortunately, the widespread use of motorcycles in Indonesia coincides with a high number of motorcycle accidents which can often be attributed to unsafe behaviors of the motorcyclist. One unsafe behavior that is common and hypothetically associated with accidents is the use of a mobile phone while motorcycling. The aim of the present study was to observe the prevalence and behavior of mobile phone use among Indonesian motorcyclists and the factors that might have influenced their behavior. Methods Five hundred Indonesian motorcyclists voluntarily participated in this study by filling out a questionnaire that gathered demographic data, motorcycling behaviors, and a statement related to what factors might influence their likelihood to use a mobile phone while motorcycling. A descriptive statistic and Structural Equation Modeling were applied in analyzing the data. Results Results showed that the prevalence of mobile phone use among Indonesian motorcyclists was 75%. The demographic data that significantly influenced mobile phone use during motorcycling were age, education level, marital status, and number of children. Occupation, gender, and prior experiences that included accidents and tickets with fines did not influence the use of mobile phones during motorcycling. The behavioral model showed that the factors that influenced motorcyclist's intentions to avoid mobile phone use during motorcycling were attitude, perceived behavioral control, and cues to action. Conclusions This study supports previous findings regarding the high prevalence of mobile phone use among motorcyclists in developing countries. The models implied that further investigation on intervention strategy to minimize mobile phone use during motorcycling is a necessity.

A cross sectional study on urban motorcyclist obedience: do road types give any impact?

Transportation is critical to sustainable development; it enhances economic growth and accessibility. The increase number of vehicles produced and used around the world for economic purpose also increases the number of traffic accidents. Traffic accidents is one of the highest cause of mortality and disability, therefore, the World Health Organization urges to reduce the number of global deaths and injuries from road traffic accidents through system improvements and access to road safety as mentioned in the third and eleventh Sustainable Development Goals target and the Global Plan. National Police Corps data, 2017, shows that the number of motorcycle accidents was five times higher than other types of vehicle accidents. This research aims at finding out the relationship between the types of road traversed and motorcyclist helmet use obedience. Chi-square test indicated a significant association with medium effect size (p<.01). The highest disobedience occurred in local road types (76%), followed by collective and arterial (22.2% and 1.8% respectively). Thus, control in the helmet use especially in local and collective roads has to be increased.

Motorcycle accident modelling for the formulation of motorist safety action programs in Kupang City

Kupang city had to deal with transport safety issues where the total number of traffic accidents in 2017 increased by 51.05% compared to 2011. This study aims to describe and analyze the factors that affect motorcycle accidents through modelling by the method of Generalized Linear Models with Genstat and SPSS programm. Based on the results of the police report data summary, accidents most often occur on Sunday (15.95%); the time span at 18:00 to 23:59 pm (45.94%); type of hit the front (35.68%); victims died (12.19%), male sex (80.71%); age range 18-25 years (37.20%); with the level of education at the level of Higher Education (42.38%); worked in the private sector (37.75%); do not have a driver's license (75.43%). The results of the analysis of survey data obtained equation modelling accident MCA = 0,0006713* Flow 0.000275*exp [0.2144 LaneWidth - ShoulderWidth_Sidewalk 1.952 - 2.026 MedianRoad + 0.2139 Speed + 0.0513 Access]. Modelling results showed that the addition of total lane width decrease the number of motorcycle accidents by 10% per year, pavement by 6% per year, median by 13% per year, traffic flow by 3% per year, speed by 14% per year, access road by 2% per year. It is therefore recommended a program of action in the form of additional elements of the road medians and pavement on a road segment that the accident rate can be reduced.

Spatio-Temporal Pattern of Motorcycle Accidents in Anambra State, Nigeria

This research work focuses on spatio-temporal pattern of motorcycle accidents in Anambra state, Nigeria. The study used mostly secondary data, accident records which were obtained from Federal Road Safety Commission Awka, Anambra state (RS 5.30). The data on motorcycle accidents were obtained for a period of ten (10) years (2007-2016). Analysis of variance (ANOVA) technique was employed in the examination of the statistical significance of the variation among the local government areas of the state. The result indicates that there is a significant variation in the number of motorcycle accidents among the local government areas of the state (F29, 189 = 2.609; p&lt;0.05). Again analysis of variance was employed in the examination of the statistical significance of the variation of motorcycle accidents over time (2007-2016) in Anambra state. The result indicates that there is a significant difference in the number of motorcycle accidents from 2007-2016 (F9, 200= 13.210; p&lt;0.05). Multiple regression analysis was employed in the examination of some of the characteristics of the local government areas of the state. It was observed that, there is a joint prediction of motorcycle accidents by a combination of some of the characteristics of the LGA of the state (p&lt;0.05), the result implies that other characteristics of the Local Government areas of the state played little influence on the number of motorcycle accidents that occurred in 2011. The need for re-orientation of the land use pattern in the study area, better road network characteristics, Government should set up more police patrols for the highways in order to enforce road traffic regulation including speed limits and the need to establish Federal Road Safety Corps archive where accident records will be kept, collated and processed are desirable.

Modelling motorcycle accident on the road section by using general linear model: Case studies in Batu City

AbstractIn the present study, we consider modelling the transportation and traffic problems in Batu City of East Java Province. Based on the accident data, the number of traffic accidents in Batu City is considered too high. Thus, the objective of this research is to develop a suitable model for motorcycle accidents around Batu City in East Java Province. Using some statistical analysis it is found that the best-fit motorcycle accident model is computed by : Acc = 7.019 × 10−6F1.702 exp (−0.2884SW + 0.091S) where : Acc = number of accident, F = Flow, pcu/h, SW = shoulder width, m, S = speed, km/h. This model shows that the affecting factors are flow, shoulder width and speed, therefore local government should improve some related factors (flow, shoulder width and speed) that can reduce the number of motorcycle accidents at crossing road in Batu City.

Motorcycle accidents in China

To analyze the characteristics and causes of motorcycle accidents in China from 2000 to 2005. We collected data on possession of motorcycles and automobiles, number of traffic crashes, casualty and economic loss from 2000-2005 Statistic Annual Report of Traffic Management Bureau, Ministry of Public Security of China. The data was processed statistically by SPSS 11.0 software package. During 6 years, the number of motorcycle accidents were up to 122,300 in 2003, which was the highest, and then gradually decreased. However, the casualty had the tendency of consistent increase, for example, the motorcycle accidents resulted in 26,200 deaths and 157,500 injuries in 2005. The mortality per 10, 000 motorcycles and the ratio of deaths to injuries were lower than those of automobiles, but the mortality per 100 motorcycle accidents was significantly higher than that of automobiles (P less than 0.01). China has attached great importance to the management of traffic safety, which is beneficial to control and reduce traffic accidents in recent years. However, the casualty keeps increasing annually. Therefore, it is urgent to strengthen the management of motorcycles, promote the education of motorcyclists, take effective traffic measures and improve the first-aid system of traffic injuries.