• Journal of Korean Society of Transportation
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• v.27 no.5
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• pp.39-49
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• 2009

This research analyzes current pedestrian's safety zone choice standard problem and described about correct standard re-thesis at real. About problem of pedestrian traffic accidents to specific item statistical data to basis ramification of pedestrian traffic accidents, occurrence type of accident, action type etc. synthetically analyze and mark pedestrian's safety zone by countermeasure for decrease of pedestrian traffic accidents and utilize operating domestic outer garment reward and drew domestic Zone30 zone choice standard. Also, because analyzing effect that traffic discharge and speed through on-the-spot probe get in pedestrian thinking, presented quantitative standard, and analyze accident special quality of back pedestrian traffic accidents occurrence number of item and so on do accident type beside quantitative standard, road function, accident latitude and present standard. Specially, take advantage of statistical data of traffic accidents and put emphasis in pedestrian safety. Also, because establishment standard about safety facility establishment of Zone30 zone and systematic thesis of operation way do not consist, standard guide of consistency it is no and does equipment that is established in Zone30 zone because confusion happens by each local unit presented establishment and operation way, and present Zone30 zone.

• Journal of Korean Society of Transportation
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• v.26 no.5
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• pp.153-162
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• 2008

This study deals with the traffic accidents at the 4-legged signalized intersections in Cheong-ju. The purpose is to comparatively analyze the characteristics and models by the accident type using the data of 143 intersections. In pursuing the above, this study gives particular emphasis to modeling such the accidents as head on collision, rear end collision, side swipe, side right angle collision, and others. The main results are the followings. First, the overdispersion tests show that the negative binomial regression models are appropriate to the traffic accident data in the above contexts. Second, five accident models are developed, which are all analyzed to be statistically significant. Finally, the models are comparatively evaluated using the common variable(ADT) and type-specific variables.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.3
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• pp.1-6
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• 2021

Determining the percentage of negligence between the parties in the event of road traffic accidents is a significant problem. In order to provide users with more accurate criteria for determining the percentage of negligence, several companies are providing services. However, services currently available are limited to immediate use at the scene of an accident. Generally, the service that determines the percentage of negligence can be used after all accident handling procedures have been completed. This paper provides a real-time traffic accident type and fault rate information provision service utilizing a deep learning-based predictive model to overcome these limitations. Users can immediately identify accident types and fault information by taking pictures at the accident site and check actual precedents of the same accident type. Users will be able to use the service to more accurately and reliably determine the percentage of negligence and handle incidents.

• Journal of Korean Society of Transportation
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• v.28 no.2
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• pp.21-32
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• 2010

A traffic island, typical channelization facilities, is widely applied to newly road designs and black spots improvement projects as traffic safety measures. However positive effects of a traffic island for traffic safety have not been reported specifically. Accordingly this study analyzed the accidents reduction effectiveness and economics of installing traffic islands under various roadways and traffic conditions. For this purpose normality test, paired t-test and Wilcoxon signed rank test were applied to this study based on traffic accidents, roadways and traffic environments data for 3 years before and after improvement at 54 intersections. The results showed that most of traffic accidents were reduced significantly after installing traffic islands except when traffic islands were installed in outside of cities and farming regions where use efficiency is low, curve sections with poor visibility, poor alignment sections with acceleration/deceleration lanes, road sections where occurs conflicts frequently due to did not install of acceleration/deceleration lanes, and road sections where cross with single lane road.

• Journal of the Society of Disaster Information
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• v.9 no.1
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• pp.30-49
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• 2013

In this research we developed a new traffic accident forecasting model on the basis of land use. A new traffic accident forecasting model by type was developed based on market segmentation and further introduction of variables that may reflect characteristics of various regions using Classification and Regression Tree Method. From the results of analysis, activities variables such as the registered population, commuters as well as road size, traffic accidents causing facilities being the subjects of activities were derived as variables explaining traffic accidents.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.11 no.6
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• pp.133-144
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• 2012

This study focused on estimating influential factors of traffic accidents and analyzing traffic accident severity of elderly and non elderly using traffic accident data. In order to reclassify elderly and non elderly traffic accident by a statistical method from entire traffic accident data, multiple discriminant analysis was applied. Also ordered logit model was applied for analyzing traffic accident severities using traffic accident severities as an independent variable and transportation facilities, road conditions and human characteristics as dependent variables. As results of the comparison between elderly and non elderly traffic accident, the traffic accident severity was affected by the age, types of traffic accidents, human characteristics and road conditions as well. Also, transportation facilities and road conditions affected to more elderly traffic accident than non elderly. Therefore, traffic accident severity would be decreased with the improvement of transportation facilities and road conditions for the elderly.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.23 no.1
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• pp.134-145
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• 2024

The purpose of this study was to propose a framework for developing test scenarios for issuance of conditional driver's licenses. The framework was composed of five stages. Initially, we reviewed the literature on traffic crash characteristics in terms of accident frequency and severity regarding the main factors of crashes caused by older drivers. In the second stage, the characteristics of crashes attributed to non-elderly, early elderly, and late elderly drivers were analyzed using data obtained from the Traffic Accident Analysis System (TAAS), and crash types for elderly drivers were derived. In the third stage, black box videos of high-risk crash types were analyzed to derive crash stories that described the circumstances in which crashes occurred. In the fourth step, crash situations were classified by rating the types of crash stories derived to develop various scenarios. Step 5 involved creating a scenario by applying the PEGASUS 5-Layer format, which has recently been used to develop test scenarios for autonomous vehicles. The results of this study are expected to be used as a basis for developing driving ability evaluation scenarios for the issuance of conditional driver's licenses.

• International Journal of Highway Engineering
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• v.13 no.3
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• pp.103-110
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• 2011

This study deals with the traffic accidents by type. The objectives are to analyze the characteristics of 2 accident types, and to develop the models by type. In pursuing the above, this paper gives particular attentions to testing the differences between by type two groups, and developing the models (Poisson and negative binomial regressions) using the data of domestic circular intersections. The main results are as follows. First, the number of accidents in vehicle vehicle was analyzed to account for about 73.41% of total and to be higher than vehicle people. Second, two Poisson models and two negative binomial models which were all statistically significant were developed using vehicle people accidents and vehicle vehicle accidents as dependant variables. Finally, the traffic volume as common variable was selected in the models, and right-turn slip lane, speed hump, the number of driveways, the number of pedestrian crossings as specific variables of the models were selected.

• Proceedings of the Korean Society of Computer Information Conference
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• 2017.01a
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• pp.271-272
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• 2017

본 논문에서는 교통사고 데이터베이스 구축을 통해 교통사교 현황과 사고 당시의 여러 정황들을 파악할 수 있는 정보를 제공한다. 이 정보들에는 사고 당시의 기상상태, 도로형태, 차종, 연령, 성별 등의 데이터들이 포함되고 이러한 정보들을 바탕으로 데이터베이스 사용자들은 각 사고 별 종합적인 정보를 얻을 수 있다. 이를 통해 정부 당국 외에 보험사 등에 교통사고 관련 정책을 위한 유용한 정보들을 제공할 수 있다. 또한 운전자 개인들에게도 정보들을 제공해 교통사고를 보다 효율적으로 예방할 수 있다.

• Proceedings of the Safety Management and Science Conference
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• 2007.04a
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• pp.223-234
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• 2007

자동차를 설계할 때에는 예술적, 기술적으로 뛰어나다 하더라도 공학적으로 실현이 가능하여야 한다. 또한 비용이라든가 품질도 중요한 고려사항이다. 하지만 이것들 보다 자동차 설계에서 더욱더 중요시되는 것은 안전이다. 사고 시 사람의 생명을 최대한 안전하게 보호할 수 있는가이다. 이번 연구는 'Design for Safety' 중에서도 보행자 안전을 고려한 자동차 설계에 관해 연구하고자 한다. 2005년 교통사고 통계에 따르면 차대사람의 사고발생건수는 총 46,594건에 사망자 2,457명 부상자 47,282명이다. 이는 한 해 전체 교통사고 발생건수에 21.8%를 차지하고 있다. 본 연구는 자동차 사고 중 보행자와 차량의 사고 유형과 상해부위를 파악하여 사례를 중심으로 살펴본 후 이를 자동차 설계에 반영하는 방법에 대한 연구이다.