• Title/Summary/Keyword: human traffic

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Development of Traffic Accidents Prediction Model With Fuzzy and Neural Network Theory (퍼지 및 신경망 이론을 이용한 교통사고예측모형 개발에 관한 연구)

  • Kim, Jang-Uk;Nam, Gung-Mun;Kim, Jeong-Hyeon;Lee, Su-Beom
    • Journal of Korean Society of Transportation
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    • v.24 no.7 s.93
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    • pp.81-90
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    • 2006
  • It is important to clarify the relationship between traffic accidents and various influencing factors in order to reduce the number of traffic accidents. This study developed a traffic accident frequency prediction model using by multi-linear regression and qualification theories which are commonly applied in the field of traffic safety to verify the influences of various factors into the traffic accident frequency The data were collected on the Korean National Highway 17 which shows the highest accident frequencies and fatality rates in Chonbuk province. In order to minimize the uncertainty of the data, the fuzzy theory and neural network theory were applied. The neural network theory can provide fair learning performance by modeling the human neural system mathematically. Tn conclusion, this study focused on the practicability of the fuzzy reasoning theory and the neural network theory for traffic safety analysis.

Prediction of Severities of Rental Car Traffic Accidents using Naive Bayes Big Data Classifier (나이브 베이즈 빅데이터 분류기를 이용한 렌터카 교통사고 심각도 예측)

  • Jeong, Harim;Kim, Honghoi;Park, Sangmin;Han, Eum;Kim, Kyung Hyun;Yun, Ilsoo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.16 no.4
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    • pp.1-12
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    • 2017
  • Traffic accidents are caused by a combination of human factors, vehicle factors, and environmental factors. In the case of traffic accidents where rental cars are involved, the possibility and the severity of traffic accidents are expected to be different from those of other traffic accidents due to the unfamiliar environment of the driver. In this study, we developed a model to forecast the severity of rental car accidents by using Naive Bayes classifier for Busan, Gangneung, and Jeju city. In addition, we compared the prediction accuracy performance of two models where one model uses the variables of which statistical significance were verified in a prior study and another model uses the entire available variables. As a result of the comparison, it is shown that the prediction accuracy is higher when using the variables with statistical significance.

Study on Fatality Risk of Older Driver and Traffic Accident Cost (고령운전자 연령구간별 사망사고 발생위험도와 사고비용 분석 연구)

  • Choi, Jaesung
    • Journal of the Korean Society of Safety
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    • v.33 no.4
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    • pp.111-118
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    • 2018
  • Korea is facing a surge in the aging population, showing that population aged 65 and above will be accounted for 42.5% of the total population in 2065 with the emphasis on the over-80 population consisting of 19.2%. In response to this abrupt change in population structure, the number of traffic fatality accident referring to older driver as aged 65+ years had been increasing from 605 fatalities in 2011 to 815 fatalities in 2015 resulting in increases in 34.7% in oppose to happening to decreases in 17.2% about non-older driver. With Logit analysis based on Newton-Raphson algorithm utilizing older driver's traffic fatality data for the 2011-2015 years, it was found that the likelihood of an accident resulting in a fatality for super older driver aged 80 years and above considerably increased compared to other older driver with aging classification: 2.24 times for violation of traffic lane, 2.04 times for violation of U-turn, 1.48 times for violation of safety distance, 1.35 times for violation of obstacle of passing; also average annual increase of traffic accident cost related to super older driver was fairly increased rather than other older driver groups. Hence, this study proposes that improving and amending transport safety system and Road Traffic Act for super older driver needs to be urgently in action about license management, safe driving education, etc. when considering the increase of over-80 population in the near future. Also, implementing a social agreement with all ages and social groups to apply with advanced driver assistance system for older driver groups will be able to become a critical factor to enhance safe driving over the face of the country.

A Study on the Effective Safety Management Measures for the Prevention of Marine Accidents (해양사고 방지를 위한 효율적 안전관리 방안)

  • Chang, In-Shik
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.15 no.1
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    • pp.33-39
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    • 2009
  • The 21st century is often referred to as maritime age. The sea is a rich repository of natural resources, comfort shelters and the hopes and dreams of human being. But there is always possibility of disaster as well as hopes and dreams. Although there have been many advances in the ship building technology, the risk of accidents is on the increase due to the increase of maritime traffic and the revitalization of marine leisure. I like to refer to the systematic search and rescue system for the rapid response by analyzing recent marine accidents. For the safe navigation, it is necessary to establish institutional systems such as ship technology, navigation equipments, excellent human resources, traffic control, etc. and navigation components also have to be well organized each other. It is also necessary to build a prompt accident management system. The search and rescue system for the rapid response and the way of reducing the incidence of marine accidents were reviewed through the analysis of recent marine accidents.

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Study on Establishment of Development Strategy for K-City Based on Analysis of Domestic and Overseas Automated Vehicle Testbeds (국내외 자율주행차 테스트베드 분석 기반 K-City 발전 전략 수립에 관한 연구)

  • Kim, Yejin;Park, Sangmin;Kim, Inyoung;Ko, Hangeom;Cho, Seongwoo;Yun, llsoo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.20 no.4
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    • pp.28-46
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    • 2021
  • 85-90% of the causes of traffic accidents are human factors, and autonomous vehicles with little free running distance can be an alternative to prevent traffic accidents caused by human factors. However, securing safety of autonomous vehicles should be preceded in order to reduce traffic accident damage through the introduction of autonomous vehicles. Therefore, it is necessary to verify whether the vehicle can respond appropriately to changes in the road and traffic environment through repeated and reproduced test runs in an environment similar to the actual road. In this study, K-City's development strategies for upgrading, differentiating, and systematic development were established by comparing and analyzing the current status of domestic and foreign testbeds and business environment analysis. Furthermore, we derive challenge tasks to achieve each strategy.

Estimation of Accident Effectiveness Based Upon the Location of Traffic Signal Using C-G Method (C-G Method를 활용한 신호등 위치에 따른 교통사고 효과 분석)

  • Kim, Jeong Hyun;Kim, Gyu Ho;Kim, Jang Wook;Lee, Soo Beom
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.28 no.6D
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    • pp.775-789
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    • 2008
  • The Office for Government Policy Coordination announced in 2006, september that a scheme of pre-signal would show remarkable outcome to reduce traffic accidents. Therefore, the Ministry recommended applying preferentially the pre-signal scheme to enhancement projects for high accident frequency areas. In case that the suggested pre-signal was unilaterally introduced to the enhancement projects at intersections, it might rather cause a big trial and error in terms of traffic safety. Hence, on the basis of quantitative analysis, this study was to indicate a pre-signal's effectiveness to reduce the traffic accidents, to illustrate a trend of the accident type due to the pre-signal, and to introduce intersection type that could be appropriate for the pre-signal. The methodology adopted Comparison-Group Method which was developed by Hauer. Through this methodology, overall effectiveness to reduce the accidents is considered positive but individual effectiveness by intersection and by accident case was different. All cases of the accidents at small scale intersection demonstrated positive results to reduce its accidents, while in case of frontal collision and side-right angle collision out of the accident types, the installation of pre-signal rather caused a negative result increasing the accident in terms of the traffic safety. I hope that this study would be a useful reference for future development of the estimation of accident effectiveness. Thus, when the pre-signal is being installed in the big intersection, it is recommended operating the installation concerning carefully improvements about muliple aspects as traffic operation, traffic facility, human factor etc.

Mailing List Characteristic from Electronic Mail

  • Khaitiyakun, N.;Khunkitti, A.
    • 제어로봇시스템학회:학술대회논문집
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    • 2004.08a
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    • pp.917-921
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    • 2004
  • Principle of mailing list was distributed messages to all subscribers in one time. But mailing list operation has constructed a network traffic problem. Because mailing list manager distributed mails without concentrate on subscriber network. If our network has many of subscribers, there will be redundant data in traffic channel. Submailing list has purpose to reduce problems. Analyses of mailing list characteristic in electronic mail were a feature of submailing list system, which manage by human hand (Network Administrator). That will cause trouble for network traffic if Network Administrator could not seek for mailing list characteristic from e-mails in due time. This article will present ideas and recognize methodology for automatic working in submailing list system. Recognize step begin with capture process, which use to trap e-mail information from transfer channel. Next process is preparing raw data into recognition format. Then the third one is recognize part and find out confidential factor. The last process is make decision and determine which electronic mail has properties of mailing list characteristic. Afterward deliver result to submailing list for carry on.

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The research of the Control Work Position for developing ATC (항공관제시스템 개발을 위한 현시시스템 연구)

  • Na, Sang-Il;Lee, Jun-Woo;Won, In-Su;Choi, Sang-Bang;Park, Hyo-Dal;Jeong, Dong-Seok
    • Proceedings of the IEEK Conference
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    • 2008.06a
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    • pp.1197-1198
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    • 2008
  • The purpose of the Air Traffic Control(ATC) system is to provide a safe, efficient flow of air traffic from origin to destination. Therefor, it is important to reduce the operational errors. Most of errors occurs from controllers. So, we suggest the human machine interface scheme for Air Traffic Control system.

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Effect of Type and S/N Ratio of Combined Noise Sources on Sleep Disturbance (수면방해에 대한 복합소음의 종류와 S/N비의 영향)

  • Lee, Pyoung-Jik;Shim, Myoung-Hee;Jeon, Jin-Yong
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.19 no.9
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    • pp.960-966
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    • 2009
  • The World Health Organization(WHO) has reported the sleep disturbance as one of the adverse effects of noise. And the effect of combined noise sources on human have been investigated because community noises are seldom heard and are concurrent. Therefore, the effects of combined noise source and its S/N ratio on sleep disturbance were investigated; as a single noise source, road traffic noise was selected, and construction and movie noise were combined with road traffic noise. Tests for sleep disturbance were conducted in bedrooms and the effect on each subjects' sleep was evaluated by questionnaire. The results showed that the rate of awakening increased slightly only when the SPL of construction noise was 10 dB higher than that of road traffic noise. It was also found that the sleep disturbance was affected by the type of combined noise sources and its S/N ratio.

A Study on the Observer Training and Implementation for Effective Normal Operation Safety Survey (NOSS)

  • Choi, Jin-Kook;Choi, Se-Jong
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.29 no.2
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    • pp.111-116
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    • 2021
  • Normal Operation Safety Survey (NOSS) is a safety management tool used by air traffic control organizations to measure data related to threats and errors to proactively prevent accidents before they occur. NOSS was developed to be applied to the air traffic control field according to the concept of Line Operation Safety Audit (LOSA) conducted by airlines to reduce human errors in the cockpits. Safety management based on data is crucial for the prevention of control-related accidents, and the competency of observers for this is important for the successful implementation of NOSS. Based on LOSA implementation experiences and expert interviews, this paper introduces the international NOSS methods and discusses the key factors required for effective observation and the implementation methods and implications of NOSS observer training.