A Workable Solution for Reducing the Large Number of Vehicle and Pedestrian Accidents Occurring on a Yellow Light

Traffic intersections are incredibly dangerous for drivers and pedestrians. Statistics from both Canada and the U.S. show a high number of fatalities and serious injuries related to crashes at intersections. In Canada, during 2019, the National Collision Database shows that 28% of traffic fatalities and 42% of serious injuries occurred at intersections. Likewise, the U.S. National Highway Traffic Administration (NHTSA) found that about 40% of the estimated 5,811,000 accidents in the U.S. during the year studied were intersection-related crashes. In fact, a major survey by the car insurance industry found that nearly 85% of drivers could not identify the correct action to take when approaching a yellow traffic light at an intersection. One major reason for these accidents is the “yellow light dilemma,” the ambiguous situation where a driver should stop or proceed forward when unexpectedly faced with a yellow light. This situation is even further exacerbated by the tendency of aggressive drivers to inappropriately speed up on the yellow just to get through the traffic light. A survey of Canadian drivers conducted by the Traffic Injury Research Foundation found that 9% of drivers admitted to speeding up to get through a traffic light. Another reason for these accidents is the increased danger of making a left-hand turn on yellow. According to the National Highway Traffic Safety Association (NHTSA), left turns occur in approximately 22.2% of collisions—as opposed to just 1.2% for right turns. Moreover, a study by CNN found left turns are three times as likely to kill pedestrians than right turns. The reason left turns are so much more likely to cause an accident is because they take a driver against traffic and in the path of oncoming cars. Additionally, most of these left turns occur at the driver’s discretion—as opposed to the distressingly brief left-hand arrow at busy intersections. Drive Safe Now proposes a workable solution for reducing the number of accidents occurring during a yellow light at intersections. We believe this fairly simple solution will save lives, prevent injuries, reduce damage to public and private property, and decrease insurance costs.

Weather and traffic accidents in Hong Kong

The influence of rainfall and thermal stress in accident occurrence for the period 1985 through 1994 in Hong Kong was investigated. The existence of seasonal variations and weekly cycle was also examined. Daity accident and meteorological data were obtained from the Transport Department and the Hong Kong Observatory respectively. Utilizing regression analyses and ANOVA, it is discovered that seasonal variation was not important in contributing traffic accidents, and Saturday peak was not ascertained. A non linear relationship between accident occurrence and various rain conditions was found. Accident numbers increased till rain exceeded 50.0 mm. High traffic volume and low speed urban driving in Hong Kong can be the major cause of traffic accidents on rainy days. The impact of heat stress on accident occurrence was found to be statistically significant.

Ligamentum flavum hematoma following a traffic accident:A case report

BACKGROUND Ligamentum flavum hematoma(LFH)can cause compression of the spinal cord or nerve root,which results in neurological symptoms.We report a case of lumbar radicular pain due to LFH following a traffic accident.CASE SUMMARY A 59-year-old man complained of left buttock and lateral thigh pain that was dull in nature after a traffic accident 18 d prior to presentation.Magnetic resonance imaging(MRI),taken 17 d after the traffic accident,revealed a mass lesion at the L4-5 Level.These MRI findings suggested subacute LFH.The patient’s pain was not alleviated with conservative treatment,including oral medication and epidural steroid injection.After a partial-hemilaminectomy and removal of LFH,the patient’s pain completely disappeared.CONCLUSION Because early operation for decompression is important for a good outcome,clinicians should be able to determine LFH from MRI results and be aware of the possibility of LFH,especially in patients with a history of trauma.

Analysis of Thorax Injuries in 112 Death Cases Caused by Traffic Accidents

Objective: To explore the characteristics and mechanisms of serious injuries of chest caused by road traffic accidents. Methods: Totally 112 autopsy cases with chest injuries in the urban of Jingzhou road traffic accidents were collected. Systematic review and analysis of the general information, postmortem examinations and assessments of chest injury had carried out from Feb. 2016 to Mar. 2018. Results: Average age of the victims was 52.2 years and the ratio of male to female deaths was 2.39:1. The proportion of motor-cyclists and pedestrians increased significantly. The overwhelming majority of accident vehicles were motorcycles and bicycles. Fractures of ribs and pulmonary contusion were the most common injuries. Craniocerebral and abdominal injuries were the most common associated injuries. Conclusion: Fractures of ribs and pulmonary contusion were the most common features of fatal road traffic injuries, often associated with vitreoretinal damage and serious multiple damages. These features reflect the characteristics of great violence in traffic accidents, which provides the evidence of identification of violent injuries.

The Accuracy Analysis of Measurement Tools for Traffic Accident Investigation

The objective of traffic accident reconstruction is to recreate the event, which is necessary for analyzing the collision dynamics that is used as evidence in court cases. Traffic accident reconstruction and a demonstration of the event require precise data pertaining to scene measurement. However, there are differences between the individual measuring tools and methods related to traffic accident investigation, just as there are differences between the extent of their use and measurement accuracy. The most commonly applied method is the measuring tape, followed by measurements with total stations and laser rangefinders, while photogrammetry is also becoming increasingly important. The advantages and disadvantages of individual tools and methods affect the required number of investigators, portability, measurement range, applicability depending on the amount of light and weather conditions, on the possibility of remote measurement, on data collection time, on the scope, on the option to later process, the collected data and above all on the accuracy of all gathered data. The latter is crucial for proving the guilt or innocence of traffic accident participants at court, as inaccurate data can lead to an unjust sentence. Measurement accuracy using the above mentioned tools and methods also varies depending on which ones are used, as well as on other factors.

Classification of Emergency Responses to Fatal Traffic Accidents in Chinese Urban Areas

Fatal traffic accidents in urban areas can adversely affect the urban road traffic system and pose many challenges for urban traffic management.Therefore,it is necessary to first classify emergency responses to such accidents and then handle them quickly and correctly.The aim of this paper is to develop an evaluation index system and to use appropriate methods to investigate emergency-response classifications to fatal traffic accidents in Chinese urban areas.This study used a multilevel hierarchical structural model to determine emergency-response classification.In the model,accident attributes,urban road network vulnerability,and institutional resilience were used as classification criteria.Each evaluation indicator was selected according to importance ranking and independence screening and was given an interpretation and a quantitative criterion.The Fuzzy Delphi Method was used to rank the importance of the evaluation indices and the combined weight of each index was calculated using the G1 method.Finally,the case of a fatal traffic accident was used to validate the model.The results showed that the multilevel hierarchical structural model,Fuzzy Delphi Method,and G1 method can effectively address the problem of emergency-response classification.Because of its simplicity and adaptability,the approach presented here could be useful for decisionmakers and practitioners for determining emergency-response classifications.

Traffic Accident Detection Based on Deformable Frustum Proposal and Adaptive Space Segmentation

Road accident detection plays an important role in abnormal scene reconstruction for Intelligent Transportation Systems and abnormal events warning for autonomous driving.This paper presents a novel 3D object detector and adaptive space partitioning algorithm to infer traffic accidents quantitatively.Using 2D region proposals in an RGB image,this method generates deformable frustums based on point cloud for each 2D region proposal and then frustum-wisely extracts features based on the farthest point sampling network(FPS-Net)and feature extraction network(FE-Net).Subsequently,the encoder-decoder network(ED-Net)implements 3D-oriented bounding box(OBB)regression.Meanwhile,the adaptive least square regression(ALSR)method is proposed to split 3D OBB.Finally,the reduced OBB intersection test is carried out to detect traffic accidents via separating surface theorem(SST).In the experiments of KITTI benchmark,our proposed 3D object detector outperforms other state-of-theartmethods.Meanwhile,collision detection algorithm achieves the satisfactory performance of 91.8%accuracy on our SHTA dataset.

Disability and Related Factors among Road Traffic Accident Victims in Benin: Study from Five Public and Faith-Based Hospitals in Urban and Suburban Areas

Introduction: Road traffic accidents (RTAs) are a major public health issue in developing countries, where roads tend to be built haphazardly and accidents take a heavy toll on victims—including leaving them disabled. This study seeks to identify those factors that cause RTA victims to become disabled as a result of their injuries. Methods: This retrospective community-based study looked at RTA victims treated in five public and faith-based hospitals in Benin. Disability was evaluated using the Washington Group on Disabilities Statistics questionnaire. The independent variables were related to the victim’s socio-demographic traits, the circumstances of the accident, and post-crash response mechanisms. The proportions were compared using the chi-squared test, with a threshold of 5%. Results: The prevalence of disability among road traffic accident victims is 9.59% (CI 95%: 6.86% - 13.20%). The occurrence of disability is associated with age (p = 0.002), occupational group (p = 0.0077), the mode of transport used to transfer the victim (p p = 0.0035). The study also found that people fail to make sufficient use of post-crash response mechanisms. Conclusion: Public policy-makers should therefore focus on stepping up interventions to get more people using both protective equipment and post-crash response services.

Spatial Analysis of Traffic Accidents in the City of Medina Using GIS

The general objective of this research is to determine how to use the spatial analysis of traffic accidents in Medina Menorah City through geographic information systems. This research aimed to identify, locate and define the sites where traffic accidents are concentrated and determine the need to apply specific safety standards to reduce accidents and identify their causes thereof. This current research applied the analytical descriptive approach for its relevance with this specific research. This research collected traffic accidents data from the Ministry of the Interior, Department of General Traffic. That data captured the hotspots accidents in Medina Menorah City. Some of the most important results of the study are as follows: many roads were selected as High Accident Location HAL, such as Central Ring Roads, King Faisal bin Abdul-Aziz Road, Prince Abdul Majid bin Abdul-Aziz Road, and King Abdulla bin Abdel-Aziz Road. The high-speed roads are heavily linked to the massive increase of traffic accident rates, and the increase in the street section length led to the soaring number of total accidents. The study recommended performing more studies and different highway safety studies to identify and locate accident patterns on road networks. Due to the fact that the accidents concentration is intensely focused on Medina City center and Prophet’s Mosque, it is a must to increase the number of public transportations to and from Prophet’s Mosque, particularly during the Hajj period, because of the fact that the visitors of Prophet’s Mosque is on the increase during the said period. This study can be applied in other cities because knowing the locations of traffic crash hotspots can provide us with valuable insights into the causes of accidents and this knowledge helps decision-makers to better assess the risk associated with accidents.

Analysis of Road Traffic Accident Costs in Sudan Using the Human Capital Method

In this study, we used the Human Capital (HC) accident analysis method, to determine the road traffic accident costs in Sudan in two successive years (2010 and 2011) with slight modifications to the recommended and known framework in the way it handles currently and future accident cost components. We evaluated and compared the significance and impact of the economic loss caused by road traffic accidents in Sudan using detailed information on road traffic accident casualties, classified by severity level, vehicle type, and other key parameters such as discount rates and medical and insurance information for Sudan in its entirety. The total cost of road traffic accidents in Sudan in 2010 was estimated at US $391 million, which represents 0.57% of the Gross Domestic Product (GDP), while in 2011 the cost was calculated to reach US $413 million, representing 0.62% of GDP. Findings show that the amount of accident costs is estimated to a certain extent at less than 1% of the total GDP of the country in the two estimation years, but we believe that the evaluation process used fulfilled the eligibility criteria of HC studies and that the produced values for Sudan are valid and reliable. Unit costs for each crash severity level were also estimated in the two years such as death, disability, serious injury, slight injury, and vehicle damage. Death or fatality was equal to US $38,932 and 39,508;disability was equal to US $43,113 and US $45,165;serious injury was equal to US $6963 and US $7596;slight injury was equal to US $2570 and US $3198 and vehicle damage only was equal to US $2268 and US $2579 in the assessment years 2010 and 2011, respectively.

Parametric analysis of craniocerebral injury mechanism in pedestrian trafficaccidents based on finite element methods

Purpose:The toughest challenge in pedestrian traffic accident identification lies in ascertaining injurymanners.This study aimed to systematically simulate and parameterize 3 types of craniocerebral injuryincluding impact injury,fall injury,and run-over injury,to compare the injury response outcomes ofdifferent injury manners.Methods:Based on the total human model for safety(THUMS)and its enhanced human model THUMShollow structures,a total of 84 simulations with 3 injury manners,different loading directions,andloading velocities were conducted.Von Mises stress,intracranial pressure,maximum principal strain,cumulative strain damage measure,shear stress,and cranial strain were employed to analyze the injuryresponse of all areas of the brain.To examine the association between injury conditions and injuryconsequences,correlation analysis,principal component analysis,linear regression,and stepwise linearregression were utilized.Results:There is a significant correlation observed between each criterion of skull and brain injury(p<0.01 in all Pearson correlation analysis results).A 2-phase increase of cranio-cerebral stress andstrain as impact speed increases.In high-speed impact(>40 km/h),the Von Mises stress on the skull waswith a high possibility exceed the threshold for skull fracture(100 MPa).When falling and makingtemporal and occipital contact with the ground,the opposite side of the impacted area experienceshigher frequency stress concentration than contact at other conditions.Run-over injuries tend to have amore comprehensive craniocerebral injury,with greater overall deformation due to more adequate kinetic energy conduction.The mean value of maximum principal strain of brain and Von Mises stress ofcranium at run-over condition are 1.39 and 403.8 MPa,while they were 1.31,94.11 MPa and 0.64,120.5 MPa for the impact and fall conditions,respectively.The impact velocity also plays a significant rolein craniocerebral injury in impact and fall loading conditions(the p of all F-test<0.05).A regressionequation of the craniocerebral injury manners in pedestrian accidents was established.Conclusion:The study distinguished the craniocerebral injuries caused in different manners,elucidatedthe biomechanical mechanisms of craniocerebral injury,and provided a biomechanical foundation forthe identification of craniocerebral injury in legal contexts.

Risk factors and predictive model of cerebral edema after road traffic accidents-related traumatic brain injury

Purpose:Cerebral edema(CE)is the main secondary injury following traumatic brain injury(TBI)caused by road traffic accidents(RTAs).It is challenging to be predicted timely.In this study,we aimed to develop a prediction model for CE by identifying its risk factors and comparing the timing of edema occurrence in TBI patients with varying levels of injuries.Methods:This case-control study included 218 patients with TBI caused by RTAs.The cohort was divided into CE and non-CE groups,according to CT results within 7 days.Demographic data,imaging data,and clinical data were collected and analyzed.Quantitative variables that follow normal distribution were presented as mean±standard deviation,those that do not follow normal distribution were presented as median(Q1,Q3).Categorical variables were expressed as percentages.The Chi-square test and logistic regression analysis were used to identify risk factors for CE.Logistic curve fitting was performed to predict the time to secondary CE in TBI patients with different levels of injuries.The efficacy of the model was evaluated using the receiver operator characteristic curve.Results:According to the study,almost half(47.3%)of the patients were found to have CE.The risk factors associated with CE were bilateral frontal lobe contusion,unilateral frontal lobe contusion,cerebral contusion,subarachnoid hemorrhage,and abbreviated injury scale(AIS).The odds ratio values for these factors were 7.27(95%confidence interval(CI):2.08-25.42,p=0.002),2.85(95%CI:1.11-7.31,p=0.030),2.62(95%CI:1.12-6.13,p=0.027),2.44(95%CI:1.25-4.76,p=0.009),and 1.5(95%CI:1.10-2.04,p=0.009),respectively.We also observed that patients with mild/moderate TBI(AIS≤3)had a 50%probability of developing CE 19.7 h after injury(χ^(2)=13.82,adjusted R2=0.51),while patients with severe TBI(AIS>3)developed CE after 12.5 h(χ^(2)=18.48,adjusted R2=0.54).Finally,we conducted a receiver operator characteristic curve analysis of CE time,which showed an area under the curve of 0.744 and 0.672 for severe and mild/moderate TBI,respectively.Conclusion:Our study found that the onset of CE in individuals with TBI resulting from RTAs was correlated with the severity of the injury.Specifically,those with more severe injuries experienced an earlier onset of CE.These findings suggest that there is a critical time window for clinical intervention in cases of CE secondary to TBI.

Cause analysis of expressway traffic accidents based on accident statistics of Hunan provincial expressway in 2012-2018

Based on the 2012–2018 accident statistics on the Hunan Provincial Expressway in China,this paper analyses the proportion to which various factors contribute to accidents,as well as the trends over time.From 2012 to 2018,the total number of general procedure handling accidents(i.e.major accidents)increased first and then decreased,while the number of accidents and deaths per 1000 kilometres decreased year by year.The total number of simple procedure handling accidents(i.e.minor accidents)increased year by year,but the number of accidents per 1000 kilometres remained relatively stable.Speeding,fatigued driving,improper driving operation,failure to maintain a safe distance from the preceding vehicle and pedestrians entering the expressway are the main causes of general procedure handling accidents.Failure to maintain a safe distance from the preceding vehicle as required and improper driving operation accounted for approximately 2/3 of the simple procedure handling accidents.In view of the accidents caused by these factors,how to use law enforcement,education,science and technology and facilities construction to further reduce the occurrence of expressway traffic accidents is discussed.

Limited Knowledge of Safe Driving Practice among Drivers with Diabetes in Armenia: Association with Greater Risk of Motor Vehicle Accidents

Aims: The aims of the study were to assess the degree of knowledge and adherence to the recommended safe practice for driving and the risk of road traffic accidents among people with diabetes mellitus in Armenia. Methods: A total of 628 respondents, including 200 drivers, out of 641 consecutive attendees at six diabetes clinics, participated in the survey. A modified British questionnaire on driving and diabetes was used to obtain the relevant data. The information from all 103 drivers treated with insulin and 73 taking sulfonylureas was reviewed. Results: The study revealed that of 176 insulin and sulfonylurea-treated drivers, 161 (91.5%) had never received any advice about safe driving practices. Among the drivers, 156 (88.6%) never measured their blood glucose before, or during driving. The survey revealed that 86 (51.2%) of 168 patients had a history of at least one motor vehicle accident within the previous 5 years. The average road traffic accident rate per person/year was 0.21. Conclusions: The study revealed a lack of knowledge among drivers with diabetes treated with insulin or sulfonylureas concerning recommended safe practices for driving. This was associated with significant hypoglycemia while driving and an elevated rate of road traffic accidents.

The Transfer and Change of Paints in a Hit-and-run Motor Vehicle Accident

This work investigated transfer and change of paint evidences in a case of hit-and-run.Two kinds of attachments were found on the clothes of the victim and they were initially considered paint fragments from the vehicle causing the accident.Infrared spectroscopy(IR),scanning electron microscope-energy dispersive spectrometer,and Microspectrophotometry were applied for examination of paints and clothing fibers.Polyester was detected in one of the attachments and in the clothing fibers of the victim by IR.A traffic accident simulation experiment was designed and conducted to research whether the polyester attachments come from suspected vehicle paints or victim’s clothing fibers.The results showed that a melt mixture of transferred paints and clothing fiber was formed after a violent collision.Because the amount of transferred paints was too low to be detectable in the mixture,the components detected by IR were mainly from clothing fibers.Thereby,we inferred that only one kind of attachment and paint fragments existed on the clothes of the victim,and the polyester attachments cannot be used to indicate the composition of suspected vehicle paint.Clothing fibers and paints are both common trace evidence in traffic accident cases,and more attention should be paid to the examination of transferred paints on clothing fibers.

Traffic accidents of autonomous vehicles based on knowledge mapping:A review

As a characteristic representative of the new generation of vehicles,autonomous driving is expected to improve people's driving experience.The study on traffic accident of autonomous vehicles(AVs)helps provide suggestions for autonomous driving safety from multiple disciplines and perspectives,and provide support for formulating traffic accident treatment schemes.Knowledge mapping,as a cutting-edge research method in bibliometrics,scientifically and objectively displays the relevant research status using visual means.This paper uses CiteSpace 6.1.r3 to analyze 5068 related literature on the Web of Science database from 1991 to 2022 and finds out major thematic clusters,important documents and representative journals according to citation frequency.The results show that research on traffic accidents involving AVs focuses on accident preventing technologies,including how to avoid collisions,track lane-position,and enhance vehicle-toeverything(V2X)communication.This paper extracts the mean research topics and key points involved in the field and illustrates journals related to AVs and traffic accidents,which provides guidance for subsequent researchers to carry out in-depth research and contribute their papers.Popular journals are in disciplines of mathematics,systems,computer,economics,and social science.This paper also suggests scholars to consider the aspects of scene reconstruction,cause analysis,and injury of vulnerable road users,so as to investigate traffic accidents and put forward effective treatment schemes to reduce AV accidents,and ultimately improve road safety.

Improving hospital-based trauma care for road traffic injuries in Malawi

BACKGROUND: The mortality rate from road traffic injuries has increased in sub-Saharan Africa as the number of motor vehicles increase. This study examined the capacity of hospitals along Malawi's main north-south highway to provide emergency trauma care.METHODS: Structured interviews and checklists were used to evaluate the infrastructure, personnel, supplies, and equipment at all four of Malawi's central hospitals, ten district hospitals, and one mission hospital in 2014. Most of these facilities are along the main north-south highway that spans the country.RESULTS: Between July 2013 and March 2014, more than 9 200 road traffic injuries(RTIs) and 100 RTI deaths were recorded by the participating hospitals. All of the hospitals reported staff shortages, especially during nights and weekends. Few clinicians had completed formal training in emergency trauma management, and healthcare workers reported gaps in knowledge and skills, especially at district hospitals. Most central hospitals had access to the critical supplies and medications necessary for trauma care, but district hospitals lacked some of the supplies and equipment needed for diagnosis, treatment, and personal protection.CONCLUSION: The mortality and disability burden from road traffi c injuries in Malawi(and other low-income countries in sub-Saharan Africa) can be reduced by ensuring that every central and district hospital has a dedicated trauma unit with qualified staff who have completed primary trauma care courses and have access to the equipment necessary to save lives.

山区高速公路隧道交通事故特征分析——以G65包茂高速6条隧道为例

为掌握山区高速公路隧道交通事故的规律和特征,提升其交通安全性,对G65包茂高速6条隧道进行分析。从年、月、周和时段4个维度进行时间特征分析,根据隧道类型提出区间划分原则,其中长隧道和特长隧道划分紧急停车带段,通过隧道区段交通事故率进行空间特征分析,分析隧道区段事故形态、车型和涉及车辆数分布特征;以事故严重程度为因变量,从车、路、环境3个要素中选取11个潜在自变量作为影响因素,采用SMOTE过采样法克服非均衡数据问题,通过单因素分析、共线性检验、二元logistic回归分析模型,对比均衡数据和非均衡数据的预测结果,识别事故严重程度的关键影响因素。结果表明:紧急停车带及其影响段事故率较高,严重影响隧道安全;非节假日、阴雨天、入口交织段、大型车辆和圆曲线段是严重事故的显著影响因素。

陕西农村5岁以下儿童意外死亡的流行特征及影响因素分析

目的了解陕西省5岁以下儿童意外窒息、溺水和交通意外死亡的主要特征,并探讨儿童意外死亡的相关影响因素。方法本研究采用病例对照的研究方法收集陕西省9个国家级监测区县中的5岁以下儿童意外死亡资料及对照组儿童资料。运用《全国5岁以下儿童常见意外伤害调查表》了解儿童的基本情况、家庭情况、看护情况、伤害发生情况。采用均数和标准差(x±s)以及百分数对儿童意外死亡基本情况进行描述,运用卡方检验和非条件Logistic回归分析的统计学方法,探讨儿童意外死亡发生的相关影响因素。结果在25名5岁以下意外死亡儿童中,交通意外有5例(20.0%),溺水有9例(36.0%),意外窒息有11例(44.0%)。从年龄分布看,因意外窒息死亡的儿童年龄较小,有90.9%在1岁以下(10例)。从性别分布看,交通意外死亡者均为男童。在意外伤害发生时,有8名儿童的看护人未在现场,而在现场的17例看护人中,仅有4名在看护儿童。死亡组进行过体检的儿童有16名(64%),少于对照组的25名(100%),两组差异有统计学意义(χ^(2)=8.672,P=0.003)。死亡组儿童主要看护人为母亲的有9名,少于对照组的14名,非条件Logistic回归分析结果显示,母亲为主要看护人的儿童死亡发生风险较父亲为主要看护人的儿童低(OR=0.016,95%CI:0.0003~0.997,P=0.049)。结论将儿童健康体检、养护行为指导以及针对性健康教育纳入常规的妇幼保健管理工作中,有助于降低5岁以下儿童意外伤害的发生率和死亡率。

GIS-based spatial analysis of urban traffic accidents： Case study in Mashhad, Iran

There is a growing concern in traffic accident rate in recent years. Using Mashhad city （Iran second populous city） traffic accident records as case study, this paper applied the combi- nation of geo-information technology and spatial-statistical analysis to bring out the influence of spatial factors in their formation. The aim of the study is to examine 4 clustering analyses to have a better understanding of traffic accidents patterns in complex urban network. In order to deploy the clustering technique in urban roads, 9331 point features for inner city traffic accidents during 12 months have been registered according to their x and y location in geographic information system （GIS）. The mentioned areas were analyzed by kernel density estimation （KDE） using ARCMAP and two other analyses using SANET 4th edition software so that the results of network analysis can be compared with traditional KDE method. In addi- tion, this research introduces five classifications for determining the eventfulness of the under study area based on standard deviation and to make priority in creating security in the area. The nearest neighbor and K-function output analysis consist of four curves and regarding the fact that for all fatal, injury and property damage only crashes, the observed value curve is above the 5% confidence interval. Accidents in the study region are more clustered than ex- pected by random chance. The importance of this study is to use GIS as a management system for accident analysis by combination of spatial-statistical methods.