• Title/Summary/Keyword: human traffic

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Association of Human Error on Air Traffic Controller and Pilot (항공교통관제사와 조종사 인적오류의 연계성)

  • Moon, Woo-Choon;Choi, Youn-Chul;Yang, Han-Mo
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.16 no.4
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    • pp.35-40
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    • 2008
  • There are many studies indicate that human is one of the major contributing factors to the aviation accident. To this end, the Human Factor of pilots and in flight operations has been a popular subject to be studied, however, not of the air traffic controllers. Recently, some States have started studying Human Errors in Air Traffic Control field, removal of the potential errors in advance and prevention of the similar errors. This study analyzed Human Errors in air traffic control in terms of LOSA of airlines, which has been actively studied. This study will contribute to safe Flight Operation and Air Traffic Control.

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Road Traffic Control Gesture Recognition using Depth Images

  • Le, Quoc Khanh;Pham, Chinh Huu;Le, Thanh Ha
    • IEIE Transactions on Smart Processing and Computing
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    • v.1 no.1
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    • pp.1-7
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    • 2012
  • This paper presents a system used to automatically recognize the road traffic control gestures of police officers. In this approach,the control gestures of traffic police officers are captured in the form of depth images.A human skeleton is then constructed using a kinematic model. The feature vector describing a traffic control gesture is built from the relative angles found amongst the joints of the constructed human skeleton. We utilize Support Vector Machines (SVMs) to perform the gesture recognition. Experiments show that our proposed method is robust and efficient and is suitable for real-time application. We also present a testbed system based on the SVMs trained data for real-time traffic gesture recognition.

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A Study on the Typical Patterns of Traffic Accident Lots and Establishment of Acknowledgement Model of their Causes and Preference Model to Decrease Traffic Accidents (교통사고 발생지점의 유형화와 원인인지.감소대책 선호모델 구축에 관한 연구)

  • 고상선;오석기
    • Journal of Korean Society of Transportation
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    • v.13 no.1
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    • pp.35-62
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    • 1995
  • Traffic has a very important function but has caused such social problems as traffic congestion parking and traffic accidents in metropolitan areas. It is difficult to examine the causes of traffic accidents related to human life, which occur by human, vehicle and environmental factors. But human factor is the only measure requlating these factors together an analyzing factors influencing establishment of counterplan of traffic accidents. Consequently , this study employs the principal component analysis and stepwise multiple regression analysis to estimate the characteristics and influential factors of traffic accidents and defines the typical patterns of happening lots of traffic accidents. Accordingly, this study establishes an acknowledgement model of the causes and preference model of the counterplan of traffic accidents using Multi-Dimension Preference(MDPREF) method.

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A Study on the Driver's Aptitude Standard with the Side of Human Engineering (인간공학적 측면에서 본 운전자의 적성에 관한 연구)

  • 현영기
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.2 no.2
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    • pp.111-114
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    • 1979
  • Human Engineering is the new science that studies tile function and the characteristic of human. It is purpose to design machine equipments for him to be able to manipulate those, exactly, safely and easily. This study will introduce that new science in traffic problems and will be done as follows. 1. The Presentation of Problems: 2. Human Engineering and Accurrence process of traffic accidents. 3. Human Engineering and aptitude analysis 4. Conclusion In this paper, driver is not the man who drives a car, is the man who is able to adapt himself to road, and traffic environment. There is a limitation in Human faculty, especially, in the power of attention. Therefore, this paper will be studied to show that it is seeking the ability needed by traffic analysis as well as getting ability of aptitude to attribute to prevention of traffic accidents.

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Cognitive Model-based Evaluation in Dynamic Traffic System (동적 교통 시스템의 인지공학적 평가에 관한 연구)

  • Kang, Myong-Ho;Cha, Woo-Chang
    • Journal of the Ergonomics Society of Korea
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    • v.21 no.3
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    • pp.25-34
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    • 2002
  • The road sign in dynamic traffic system is an important element which affects on human cognitive performance on driving. Web-based vision system simulator was developed to examine the cognition time of the road sign in dynamic environment. This experiment the cognition time of the road sign in dynamic environment. This experiment was designed in with-subject design with two factors: vehicle speed and the amount of information of the traffic sign. It measured the cognition time of the road sign through two evaluation methods: the subjective test with vision system simulator and computational cognitive model. In these two evaluations of human cognitive performance under the dynamic traffic environment, it demonstrated that subject's cognition time was affected by both the amount of information of traffic sign and driving speed.

Cognitive Model-based Evaluation of Traffic Simulation Model (교통 시뮬레이션 모텔의 인지공학적 평가에 관한 연구)

  • 강명호;차우창
    • Proceedings of the Korea Society for Simulation Conference
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    • 2002.05a
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    • pp.163-168
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    • 2002
  • The road sign in dynamic traffic system is an important element which affects on human cognitive performance on driving. Web-based vision system simulator was developed to examine the cognition time of the road sign in dynamic environment. This experiment was designed in within-subject design with two factors; vehicle speed and the amount of information of the traffic sign. It measured the cognition time of the road sign through two evaluation methods; the subjective test with vision system simulator and computational cognitive model. In these two evaluations of human cognitive performance under the dynamic traffic environment, it demonstrated that subject's cognition time was affected by both the amount of information of traffic sign and driving speed.

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Comparative Analysis of Elderly's and Non-elderly's Human Traffic Accident Severity (고령운전자와 비고령운전자의 인적교통사고 심각도 비교분석)

  • Lee, Sang Hyuk;Jeung, Woo Dong;Woo, Yong Han
    • 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.

Analysis of Types and Characteristics of the Railway Traffic Signaller's Tasks (철도 관제사 직무 유형 및 특성 분석)

  • Ko, Jong-Hyun;Han, Kyu-Min;Jung, Won-Dea
    • Proceedings of the KSR Conference
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    • 2007.05a
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    • pp.502-506
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    • 2007
  • Railway accidents/incidents occur because of many reasons. Human error by the railway staff or personnel takes a major part of those reasons. In order to reduce and prevent railway accidents/incidents, appropriate measures should be developed to remove root causes induced in human error. A systematic study for analysing causes of human errors and for developing an effective management is necessary. Detailed analysis of the railway traffic signaller's tasks should be preferentially performed for this purpose. This paper introduces the results of analysis for the types and characteristics of the railway traffic signaller's tasks. As a result of the analysis, the railway traffic signaller's tasks can be decomposed into 24 tasks in total, and also be divided into the general task and the emergency task. The railway traffic signaller's tasks are characterized to require continual confirmation and observation activities, and sometimes immediate decision and action.

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A Case Study on Aircraft Accidents Due to Air Traffic Controller's Human Error - Applying TEM (Threat & Error Management) Analysis - (항공교통관제사의 휴먼에러에 기인한 국내외 항공기 사고 사례연구 - TEM(Threat & Error Management) 분석법을 적용하여 -)

  • Kim, Jung-Bin;Park, Sung-Sik
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.29 no.4
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    • pp.124-133
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    • 2021
  • The airline industry has been growing steadily since 2016 with more than 100 million air passengers, renewing the largest number of air passengers every year. Increasing air demand leads to an increase in air traffic in limited airspace, increasing the likelihood of accidents between aircraft. Due to the massive human and material damage caused by a single mistake, aviation safety is being heavily focused around the world to efficiently use limited airspace. Studies related to various human factors are underway as most of the aviation accidents are found to be caused by human factors, but research on human factors by controllers is insufficient while they are active in terms of control and operation. Given that 82% of air accidents caused by controllers are caused by human error, the importance of management of human error and changes in perception are urgently needed. This study aims to understand the seriousness of the controller's human error by analyzing the accident cases caused by the controller's human error using TEM to identify threats and errors and derive common human factors.

Cellular Traffic Offloading through Opportunistic Communications Based on Human Mobility

  • Li, Zhigang;Shi, Yan;Chen, Shanzhi;Zhao, Jingwen
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.3
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    • pp.872-885
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    • 2015
  • The rapid increase of smart mobile devices and mobile applications has led to explosive growth of data traffic in cellular network. Offloading data traffic becomes one of the most urgent technical problems. Recent work has proposed to exploit opportunistic communications to offload cellular traffic for mobile data dissemination services, especially for accepting large delayed data. The basic idea is to deliver the data to only part of subscribers (called target-nodes) via the cellular network, and allow target-nodes to disseminate the data through opportunistic communications. Human mobility shows temporal and spatial characteristics and predictability, which can be used as effective guidance efficient opportunistic communication. Therefore, based on the regularity of human mobility we propose NodeRank algorithm which uses the encounter characteristics between nodes to choose target nodes. Different from the existing work which only using encounter frequency, NodeRank algorithm combined the contact time and inter-contact time meanwhile to ensure integrity and availability of message delivery. The simulation results based on real-world mobility traces show the performance advantages of NodeRank in offloading efficiency and network redundant copies.