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Fulltext Deep-Learning-Based Approach for Iraqi and Malaysian Vehicle License Plate Recognition

Habeeb D, Noman F, Alkahtani AA, Alsariera YA, Alkawsi G, Fazea Y, et al.

Comput Intell Neurosci, 2021;2021:3971834.
PMID: 34782832 DOI: 10.1155/2021/3971834

Recognizing vehicle plate numbers is a key step towards implementing the legislation on traffic and reducing the number of daily traffic accidents. Although machine learning has advanced considerably, the recognition of license plates remains an obstacle, particularly in countries whose plate numbers are written in different languages or blended with Latin alphabets. This paper introduces a recognition system for Arabic and Latin alphabet license plates using a deep-learning-based approach in conjugation with data collected from two specific countries: Iraq and Malaysia. The system under study is proposed to detect, segment, and recognize vehicle plate numbers. Moreover, Iraqi and Malaysian plates were used to compare these processes. A total of 404 Iraqi images and 681 Malaysian images were tested and used for the proposed techniques. The evaluation took place under various atmospheric environments, including fog, different contrasts, dirt, different colours, and distortion problems. The proposed approach showed an average recognition rate of 85.56% and 88.86% on Iraqi and Malaysian datasets, respectively. Thus, this evidences that the deep-learning-based method outperforms other state-of-the-art methods as it can successfully detect plate numbers regardless of the deterioration level of image quality.

Matched MeSH terms: Accidents, Traffic
Fulltext Investigation of inerter-based suspension systems for heavy vehicles

Soong MF, Ramli R, Saifizul AA, Goh KY, Long SX

PLoS One, 2023;18(1):e0280290.
PMID: 36662679 DOI: 10.1371/journal.pone.0280290

The inerter is a two-terminal component that can be added to the spring-and-damper configuration of a suspension system. It has the property that the force exerted is proportional to the relative acceleration at its terminals. Studies have demonstrated the inerter's benefit of providing superior vibration isolation when it is used in the vehicle suspension of passenger cars. However, similar benefit on another common vehicle class on the roads, namely heavy vehicles, remain to be shown, as these vehicles have vastly different parameter values than passenger cars. This study is an investigation on the performance improvement brought by an inerter in the suspension of common heavy vehicles. In the study, the parameter values of a truck and a bus were adopted in the quarter vehicle model with two different spring-damper-inerter configurations (parallel and serial inerter), and the improvements in vibration isolation and road holding capability were determined by optimization of inertance. Results show that the inerter is similarly effective in providing the said improvements when implemented on heavy vehicles instead of on passenger cars, judging from reductions in sprung mass acceleration and dynamic tire load. It is also observed that the performance benefit is associated with larger optimum inertance than that for passenger cars. Overall, the inerter has been shown to be beneficial in the parallel and serial configurations, both of which are common and can be practically implemented in the suspension of heavy vehicles.

Matched MeSH terms: Accidents, Traffic*
Fulltext Prevention and control of injuries arising from road traffic accidents in Malaysia

Subramanian N

Med J Malaysia, 1989 Sep;44(3):178-82.
PMID: 2626131
Matched MeSH terms: Accidents, Traffic/prevention & control*; Accidents, Traffic/trends; Accidents, Traffic/statistics & numerical data
Fulltext Crash simulation of lower limb with motorcycle basket

How CK, Megat Ahmad MMH, Radin Umar RS, Hamouda AMS, Harwant S

Med J Malaysia, 2001 Mar;56(1):77-81.
PMID: 11503301

Lower limb injuries are the main cause of temporary and permanent disability among motorcyclists in Malaysia. They cause non-fatal but serious injuries requiring hospitalisation. Detailed studies on factors influencing lower limb injuries are justified in an attempt to reduce the occurrence of these injuries. This study presents a computer simulation of the crash behaviour of the basket of a small-engined motorcycle with the lower limb using finite element (FE) methods. The results suggest that the extensive deformation of the motorcycle basket may reduce the risk of injury to the lower limb. The behaviour of the basket during collision is analogous to the crumple zone of automobiles.

Matched MeSH terms: Accidents, Traffic*
Errors in accident data, its types, causes and methods of rectification-analysis of the literature

Ahmed A, Sadullah AFM, Yahya AS

Accid Anal Prev, 2019 Sep;130:3-21.
PMID: 28764851 DOI: 10.1016/j.aap.2017.07.018

Most of the decisions taken to improve road safety are based on accident data, which makes it the back bone of any country's road safety system. Errors in this data will lead to misidentification of black spots and hazardous road segments, projection of false estimates pertinent to accidents and fatality rates, and detection of wrong parameters responsible for accident occurrence, thereby making the entire road safety exercise ineffective. Its extent varies from country to country depending upon various factors. Knowing the type of error in the accident data and the factors causing it enables the application of the correct method for its rectification. Therefore there is a need for a systematic literature review that addresses the topic at a global level. This paper fulfils the above research gap by providing a synthesis of literature for the different types of errors found in the accident data of 46 countries across the six regions of the world. The errors are classified and discussed with respect to each type and analysed with respect to income level; assessment with regard to the magnitude for each type is provided; followed by the different causes that result in their occurrence, and the various methods used to address each type of error. Among high-income countries the extent of error in reporting slight, severe, non-fatal and fatal injury accidents varied between 39-82%, 16-52%, 12-84%, and 0-31% respectively. For middle-income countries the error for the same categories varied between 93-98%, 32.5-96%, 34-99% and 0.5-89.5% respectively. The only four studies available for low-income countries showed that the error in reporting non-fatal and fatal accidents varied between 69-80% and 0-61% respectively. The logistic relation of error in accident data reporting, dichotomised at 50%, indicated that as the income level of a country increases the probability of having less error in accident data also increases. Average error in recording information related to the variables in the categories of location, victim's information, vehicle's information, and environment was 27%, 37%, 16% and 19% respectively. Among the causes identified for errors in accident data reporting, Policing System was found to be the most important. Overall 26 causes of errors in accident data were discussed out of which 12 were related to reporting and 14 were related to recording. "Capture-Recapture" was the most widely used method among the 11 different methods: that can be used for the rectification of under-reporting. There were 12 studies pertinent to the rectification of accident location and almost all of them utilised a Geographical Information System (GIS) platform coupled with a matching algorithm to estimate the correct location. It is recommended that the policing system should be reformed and public awareness should be created to help reduce errors in accident data.

Matched MeSH terms: Accidents, Traffic/statistics & numerical data*
Fulltext Implementation of a psychomotor vigilance test to investigate the effects of driving fatigue on oil and gas truck drivers' performance

Al-Mekhlafi AA, Isha ASN, Al-Quraishi MS, Kanwal N

Front Public Health, 2023;11:1160317.
PMID: 37869200 DOI: 10.3389/fpubh.2023.1160317

INTRODUCTION: Driving fatigue has been shown to increase the risk of accidents and potentially fatal crashes. Fatigue is a serious risk that some drivers do not take seriously. Previous studies investigated the effects of driving fatigue in the Malaysian oil and gas transportation industry by employing survey questionnaires. However, they did not explain the behavior of fatigue. Besides, these results required validation by a more reliable method that can describe how fatigue occurs.
METHODS: Thus, in this study, we used the Psychomotor Vigilance Test (PVT-192) and a short survey to address driving fatigue behavior and identify the influences of driving fatigue on driving performance in real life (on the road) with actual oil and gas tanker drivers. The total participants in the experimental study were 58 drivers.
RESULTS: For the analysis, a Wilcoxon Signed Ranks Test, Z value and Spearman's rho were used to measure the significant difference between the pre and post-tests of PVT and the correlation between the fatigue variables and driving performance.
DISCUSSION: During the experiment's first and second days, this study's results indicated that driving fatigue gradually escalated. Likewise, there was a negative correlation based on the test of the relationship between the PVT data and the driving performance survey data. Additionally, the drivers suffer from accumulative fatigue, which requires more effort from the transportation company management to promote the drivers awareness of fatigue consequences.

Matched MeSH terms: Accidents, Traffic*
Fulltext Analysis of motorcyclist riding behaviour on speed table

Yuen CW, Karim MR, Saifizul A

ScientificWorldJournal, 2014;2014:236396.
PMID: 24991638 DOI: 10.1155/2014/236396

This paper focuses on the study of the change of various types of riding behaviour, such as speed, brake force, and throttle force applied, when they ride across the speed table. An instrumented motorcycle equipped with various types of sensor, on-board camera, and data logger was used in acquiring the traffic data in the research. Riders were instructed to ride across two speed tables and the riding data were then analyzed to study the behaviour change from different riders. The results from statistical analysis showed that the riding characteristics such as speed, brake force, and throttle force applied are influenced by distance from hump, riding experience, and travel mileage of riders. Riders tend to apply higher brake intensity at distance point 50 m before the speed table and release the braking at point -10 m after the hump. In short, speed table has different rates of influence towards riding behaviour on different factors, such as distance from hump and different riders' attributes.

Matched MeSH terms: Accidents, Traffic/prevention & control*; Accidents, Traffic/psychology
Fulltext Investigation on motorcyclist riding behaviour at curve entry using instrumented motorcycle

Yuen CW, Karim MR, Saifizul A

ScientificWorldJournal, 2014;2014:968946.
PMID: 24523660 DOI: 10.1155/2014/968946

This paper details the study on the changes in riding behaviour, such as changes in speed as well as the brake force and throttle force applied, when motorcyclists ride over a curve section road using an instrumented motorcycle. In this study, an instrumented motorcycle equipped with various types of sensors, on-board cameras, and data loggers, was developed in order to collect the riding data on the study site. Results from the statistical analysis showed that riding characteristics, such as changes in speed, brake force, and throttle force applied, are influenced by the distance from the curve entry, riding experience, and travel mileage of the riders. A structural equation modeling was used to study the impact of these variables on the change of riding behaviour in curve entry section. Four regression equations are formed to study the relationship between four dependent variables, which are speed, throttle force, front brake force, and rear brake force applied with the independent variables.

Matched MeSH terms: Accidents, Traffic/mortality
Fulltext [The risk of road traffic accidents among primary school children in Kuala Terengganu]

Fatimah M, Osman A

Med J Malaysia, 1997 Dec;52(4):402-8.
PMID: 10968118

A case control study was conducted in 1996 among primary school student in Terengganu. The objective of the study is to determine the relationship between road traffic accidents and factors such as socio-economic status, distance from school, number of siblings, behavioural problems, knowledge and attitudes of pupil and their parents towards road safety and parents' educational status. A total of 140 cases was obtained from 3 urban schools and 3 from rural schools. Cases were matched with control according to age sex and locality of residence. There were significant associations between road traffic accidents and pupils' knowledge regarding road crossing (OR = 0.40, 95% CI = 0.19-0.85), parental supervision (OR = 0.43, 95% CI = 0.19, 0.64) and parents having driving licences (OR = 0.99, 95% CI = 0.856-0.999). Road safety education for pupils and parental supervision are key measures in preventing road traffic accidents among primary school children.

Matched MeSH terms: Accidents, Traffic*
Fulltext A case of traumatic cholecystectomy

Shahrudin MD

Med J Malaysia, 1996 Mar;51(1):159.
PMID: 10968002
Matched MeSH terms: Accidents, Traffic*
Fulltext Road traffic accidents in patients with obstructive sleep apnoea

Liam CK, How LG, Tan CT

Med J Malaysia, 1996 Mar;51(1):143-5.
PMID: 10967996

Three patients involved in road traffic accidents were suspected to have obstructive sleep apnoea (OSA). Two of them fell asleep while riding motorcycles and one patient fell asleep behind the wheel of a truck causing it to overturn. The diagnosis of OSA in each case was suspected based on a history of loud snoring, restless sleep, and excessive daytime somnolence and was confirmed by sleep studies.

Matched MeSH terms: Accidents, Traffic*
Predictive model for motorcycle accidents at three-legged priority junctions

Harnen S, Umar RS, Wong SV, Wan Hashim WI

Traffic Inj Prev, 2003 Dec;4(4):363-9.
PMID: 14630586

In conjunction with a nationwide motorcycle safety program, the provision of exclusive motorcycle lanes has been implemented to overcome link-motorcycle accidents along trunk roads in Malaysia. However, not much work has been done to address accidents at junctions involving motorcycles. This article presents the development of predictive model for motorcycle accidents at three-legged major-minor priority junctions of urban roads in Malaysia. The generalized linear modeling technique was used to develop the model. The final model reveals that motorcycle accidents are proportional to the power of traffic flow. An increase in nonmotorcycle and motorcycle flows entering the junctions is associated with an increase in motorcycle accidents. Nonmotorcycle flow on major roads had the highest effect on the probability of motorcycle accidents. Approach speed, lane width, number of lanes, shoulder width, and land use were found to be significant in explaining motorcycle accidents at the three-legged major-minor priority junctions. These findings should enable traffic engineers to specifically design appropriate junction treatment criteria for nonexclusive motorcycle lane facilities.

Matched MeSH terms: Accidents, Traffic/statistics & numerical data*
Windscreen eye injuries in Singapore

Hong LC, Chong AB

Med J Malaysia, 1977 Dec;32(2):165-7.
PMID: 614486
Matched MeSH terms: Accidents, Traffic*
Engaging policy makers in road safety research in Malaysia: a theoretical and contextual analysis

Tran NT, Hyder AA, Kulanthayan S, Singh S, Umar RS

Health Policy, 2009 Apr;90(1):58-65.
PMID: 18937995 DOI: 10.1016/j.healthpol.2008.08.009

Road traffic injuries (RTIs) are a growing public health problem that must be addressed through evidence-based interventions including policy-level changes such as the enactment of legislation to mandate specific behaviors and practices. Policy makers need to be engaged in road safety research to ensure that road safety policies are grounded in scientific evidence. This paper examines the strategies used to engage policy makers and other stakeholder groups and discusses the challenges that result from a multi-disciplinary, inter-sectoral collaboration. A framework for engaging policy makers in research was developed and applied to describe an example of collective road safety research in Malaysia. Key components of this framework include readiness, assessment, planning, implementation/evaluation, and policy development/sustainability. The case study of a collaborative intervention trial for the prevention of motorcycle crashes and deaths in Malaysia serves as a model for policy engagement by road safety and injury researchers. The analytic description of this research process in Malaysia demonstrates that the framework, through its five stages, can be used as a tool to guide the integration of needed research evidence into policy for road safety and injury prevention.

Matched MeSH terms: Accidents, Traffic/prevention & control*
Fulltext A New Pedestrian Crossing Level of Service (PCLOS) Method for Promoting Safe Pedestrian Crossing in Urban Areas

Ahmed T, Moeinaddini M, Almoshaogeh M, Jamal A, Nawaz I, Alharbi F

Int J Environ Res Public Health, 2021 08 20;18(16).
PMID: 34444563 DOI: 10.3390/ijerph18168813

Crosswalks are critical locations in the urban transport network that need to be designed carefully as pedestrians are directly exposed to vehicular traffic. Although various methods are available to evaluate the level of service (LOS) at pedestrian crossings, pedestrian crossing facilities are frequently ignored in assessing crosswalk conditions. This study attempts to provide a comprehensive framework for evaluating crosswalks based on several essential indicators adopted from different guidelines. A new pedestrian crossing level of service (PCLOS) method is introduced in this research, with an aimto promote safe and sustainable operations at such locations. The new PCLOS employs an analytical point system to compare existing street crossing conditions to the guidelines' standards, taking into account the scores and coefficients of the indicators. The quantitative scores and coefficients of indicators are assigned based on field observations and respondent opinions. The method was tested to evaluate four pedestrian crosswalks in the city of Putrajaya, Malaysia. A total of 17 indicators were selected for the study after a comprehensive literature review. Survey results show that the provision of a zebra crossing was the most critical indicator at the pedestrian crossings, while drainage near crosswalks was regarded as the least important. Four indicators had a coefficient value above 4, indicating that these are very critical pedestrian crossing facilities and significantly impact the calculation of LOS for pedestrian crossings. Four crosswalks were evaluated using the proposed method in Putrajaya, Malaysia. The crosswalk at the Ministry of Domestic Trade Putrajaya got the "PCLOS A". In contrast, the midblock crossing in front of the Putrajaya Corporation was graded "PCLOS C". While the remaining two crosswalks were graded as "PCLOS B" crosswalks. Based on the assigned PCLOS grade, the proposed method could also assist in identifying current design and operation issues in existing pedestrian crossings and providing sound policy recommendations for improvements to ensure pedestrian safety.

Matched MeSH terms: Accidents, Traffic/prevention & control
Geospatial and clinical analyses on pediatric related road traffic injury in Malaysia

Rahman NH, Rainis R, Noor SH, Syed Mohamad SM

World J Emerg Med, 2016;7(3):213-20.
PMID: 27547282 DOI: 10.5847/wjem.j.1920-8642.2016.03.009

BACKGROUND: The main aim of this study is to utilize the geographical information system (GIS) software and perform the spatial analysis in relation to clinical data for road traffic injury (RTI) pediatric cases attending the emergency department.
METHODS: The study sample included pediatric patients (age less than 18 years) with road-related injuries within a district in Malaysia who attended emergency departments of two tertiary hospitals within the district. In addition to injury, pre-hospital care and outcome data, the coordinate of the locations were obtained by the ambulance paramedics by using portable handheld GPS unit brand Garmin(®) model GPS 72 H. The data was transferred into the excel format which in turn underwent GIS analysis by using ARCGIS(®) (by ESRI) software version 10.1 licensed to the study institution.
RESULTS: A total of 102 (24.8%) of all motor vehicle crash (MVC) victims involved the pediatric age group (age 18 years and below). The mean (SD) age of the pediatric victims was 14.30 years (SD 3.830). Male comprised of 68 (66.7%) of the cases. Motorcyclists [88 (88.0%)] were the most common type of victims involved. Interestingly, the majority of the severely injured victims [75 (73%)] sustained the RTI on roads with maximum speed limit of 60 km/hour. The mean (SD) length of hospital stay was 7.83 days (5.59).
CONCLUSION: The pediatric related road traffic injury in Malaysia causes significant health and social burden in the country. This study showed both important clinical and geographical factors that need to be taken into consideration for future preventive action.
KEYWORDS: Geographical information system; Geospatial; Injury; Pediatric; Road safety

Matched MeSH terms: Accidents, Traffic*
Fulltext Enhanced weight-based clustering algorithm to provide reliable delivery for VANET safety applications

Bello Tambawal A, Md Noor R, Salleh R, Chembe C, Oche M

PLoS One, 2019;14(4):e0214664.
PMID: 30946766 DOI: 10.1371/journal.pone.0214664

A vehicular ad hoc network (VANET) is an emerging and promising wireless technology aimed to improve traffic safety and provide comfort to road users. However, the high mobility of vehicles and frequent topology changes pose a considerable challenge to the reliable delivery of safety applications. Clustering is one of the control techniques used in VANET to make the frequent topology changes less dynamic. Nevertheless, research has shown that most of the existing clustering algorithms focus on cluster head (CH) election with very few addressing other critical issues such as cluster formation and maintenance. This has led to unstable clusters which could affect the timely delivery of safety applications. In this study, enhanced weight-based clustering algorithm (EWCA) was developed to address these challenges. We considered any vehicle moving on the same road segment with the same road ID and within the transmission range of its neighbour to be suitable for the cluster formation process. This was attributed to the fact that all safety messages are expected to be shared among the vehicles within the vicinity irrespective of their relative speedto avoid any hazardous situation. To elect a CH, we identified some metrics on the basis of the vehicle mobility information. Each vehicle was associated with a predefined weight value based on its relevance. A vehicle with the highest weight value was elected as the primary cluster head (PCH). We also introduced a secondary cluster head (SeCH) as a backup to the PCH to improve the cluster stability. SeCH took over the leadership whenever the PCH was not suitable for continuing with the leadership. The simulation results of the proposed approach showed a better performance with an increase of approximately40%- 45% in the cluster stability when compared with the existing approaches. Similarly, cluster formation messages were significantly minimized, hence reducing the communication overhead to the system and improving the reliable delivery of the safety applications.

Matched MeSH terms: Accidents, Traffic/prevention & control*
Fulltext An update on road traffic injuries in Malaysia

Krishnan R, Radin Sohadi RU

JUMMEC, 1997;2(1):39-41.

The incidence of road traffic injuries has increased over the last two decades. Of greater concern is the prediction that the problem is likely to increase further, given present trends in transportation. Injuries and not "accidents" need to be the focus of the health sector. Passive strategies, which are independent of human behaviour, are more likely to succeed in the prevention of injuries compared to "active" strategies. The health sector needs to play a bigger role in prevention through advocacy, research and education of target groups.

Matched MeSH terms: Accidents, Traffic*
The sources of the Kuznets relationship between the road deaths to road injuries ratio and economic growth

Sirajudeen AO, Law TH, Wong SV, Jakarni FM, Ng CP

J Safety Res, 2021 09;78:262-269.
PMID: 34399922 DOI: 10.1016/j.jsr.2021.06.007

INTRODUCTION: Past empirical studies indicated that there is a Kuznets or reverse U-shaped relationship between road deaths and per capita income, such that the number of road death increases at a low level of per capita reverse U-shaped relationship was observed between road injuries and per capita income. While these studies explored the impact of per capita income on road deaths and road injuries, no studies have examined the relationship between per capita income and road death to road injury ratio (DPI).
METHOD: Using a fixed effects panel regression analysis from 67 countries spanning over a period of five decades (1960-2013), the present study sought to explore the impact of per capita gross domestic product (per capita GDP) on the DPI ratio and the underlying factors responsible for the relationship.
RESULTS: Our result suggests that per capita GDP followed a reverse U-shaped relationship with DPI. Moreover, the relative improvements in higher mobility roads as compared to improvements in higher accessibility roads, motorcycle ownership to passenger car ownership ratio, percentage of population living in an urban area, infant mortality rate, and the percentage of population below 15 years of age and above 64 years of age contributed to this relationship. Practical Applications: This implies that, at lower level of economic growth where road deaths exceed road injuries, countries should implement low-cost measures to combat road deaths cases. Such measures include mandating wearing of quality helmets and daytime running headlights for motorcycles. On the other hand, at higher level of economic growth where road injuries surpass road deaths, countries are encouraged to devote more resources to improving medical technology and services to treat road injury victims, mandating seatbelt use, as well as enhancing and promoting public transportation service.

Matched MeSH terms: Accidents, Traffic*
Evaluating the effect of lane width and roadside configurations on speed, lateral position and likelihood of comfortable overtaking in exclusive motorcycle lane

Ibrahim MKA, Hamid H, Law TH, Wong SV

Accid Anal Prev, 2018 Feb;111:63-70.
PMID: 29172046 DOI: 10.1016/j.aap.2017.10.023

Construction of exclusive motorcycle lanes is one of the measures to reduce motorcycle fatalities. Previous studies highlighted the risk of crashes with roadside objects and the tendency of motorcyclists to ride with excessive speed on exclusive motorcycle lanes. However, the risk of same-direction crashes on exclusive motorcycle lanes was not explored in much detail, especially on the impact of lane geometry and roadside configurations. This study used naturalistic riding data to determine the effects of lane width and roadside configurations on overtaking speed, lateral position and likelihood of comfortable overtaking on tangential sections of an exclusive motorcycle lane. Twenty-nine recruited motorcyclists rode the instrumented motorcycles along a 20km stretch of an exclusive motorcycle lane along a major urban road. Results revealed that both the roadside configurations and lane width significantly affect the participants' lateral position, while the roadside configurations only affects the overtaking speed. Participants' overtaking speeds and the front motorcycles' lateral position contribute significantly to the likelihood of comfortable overtaking in exclusive motorcycle lanes. The findings highlight the importance of micro-level behavior indicators in improving the design and overall safety of the exclusive motorcycle facility.

Matched MeSH terms: Accidents, Traffic*

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