• Title/Summary/Keyword: vulnerable pedestrian

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Analysis of Shelter Service Areas According to Walking Speed Using Network Analysis (네트워크 분석을 이용한 보행속도에 따른 대피소 서비스 영역 분석)

  • Park, Jae Kook;Kim, Dong Moon
    • Journal of Korean Society for Geospatial Information Science
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    • v.20 no.4
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    • pp.37-44
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    • 2012
  • There are approximately 25,724 shelters to which people can be quickly evacuated for safety in case of emergency across the nation, and Seoul has about 3,870 shelters. Those nationwide shelters are located at a point within a five-minute radius for quick evacuation. Seoul's shelter capacity can hold 285% of its population. The problem is, however, that there is no knowing how many shelters are reachable within five minutes when considering walking speed according to individual differences in age, height, health state, and physical condition. In addition, available service areas become different according to the spatial allocation and distribution of shelters with possible vulnerable points. This study thus defined the pedestrian walking speed at 1m/s, 1.3m/s, and 2m/s by reviewing previous studies and conducted network analysis of the Location Allocation Model with the designated shelters and road networks in Seoul. The results identified the shelter service and vulnerable areas in each administrative district of Seoul according to walking speeds. It was analyzed that the vulnerable areas in which the elderly could not reach a shelter were more than twice as big as those of adult men and women with a fast walking speed.

Development and Analysis of Non-Urban region Traffic Safety Facilities Considering Economics (경제성을 고려한 비도심 지역 교통안전 시설물의 개발과 분석)

  • Kim, Ki-Nam;Lee, Yong-Jun;Lee, Dong-Yeol;Cho, Choong-Yuen;Lee, Min-Jae
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.1
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    • pp.577-586
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    • 2018
  • In this study, traffic safety technology was developed for rural areas by reviewingthe relevant literature and data from the Traffic Accident Analysis System for the Chungcheong region.The goal is to reduce traffic accidents in small regional cities and rural areas in Korea. A road shoulder recognition light was developed to fit the pedestrian characteristics of the people using transportation in rural areas. It also minimizes damage to crops due to light pollution from traffic lights and street lights, and it supplements problems of damage from collision with vehicles and agricultural machines. The efficiency of the technology developed in this study was verified by comparing and analyzing the number of traffic accidents and the saved cost before and after its installation. A test bedwas established based on rural areas and is being evaluated for its applicability and effectiveness. It is expected that the reliability of such facilities could be improved through continuous studies, data collection, and analysis.

Study on Design of Rail Level Crossing System for Preventing from Non-Alarming Status Caused by Track Shunting Sensibility Errors (레일 단락감도 불량으로 발생하는 무경보 예방을 위한 건널목보안장치 설계)

  • Jang, Dong-Wan;Jeon, Tae-Hyun
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.24 no.1
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    • pp.160-166
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    • 2010
  • Railroad level crossing systems are used to prevent train from collisions by informing pedestrians and vehicles of approaching trains on the level crossing. The current detection systems mostly use track-based electrical circuits to detect approaching trains. The making and breaking of the circuit when the train wheel passes along the track sends a signal to barriers that restrict access to the track. Unfortunately, this track-based signal system is vulnerable to malfunctions in certain situations. If the rail becomes rusted due to moisture, weather conditions, or infrequent use, the electrical circuit detection system could fail. Such a failure could lead to a train-vehicle or train-pedestrian collision. This paper suggests a replacement of the electrical circuit-based system with an infrared detection system. The research shows that an infrared detection system improves safety by reducing the frequency of detection failure of the alarming circuit to system.

A Study on the Establishment of a Parking and Stopping Prevention System in Child Protection Zone (어린이 보호구역 주·정차 방지시스템 구축에 관한 연구)

  • Oh, Eun-Yeol
    • Journal of Industrial Convergence
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    • v.20 no.8
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    • pp.69-75
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    • 2022
  • In order to prevent traffic accidents for children who are vulnerable to traffic around elementary schools, a school zone in the children's protection zone is designated, and parking and stopping are prohibited in this area as the vehicle speed is less than 30km/h. However, Korea has a disgrace that the death rate of children from traffic accidents is the No. 1 among OECD countries. Against this backdrop, this study aims to contribute to preventing traffic accidents and raising awareness of driver safety by establishing an illegal parking and stopping system in the child protection zone due to various road conditions in the child protection zone. As a research method, a plan to build a parking and stopping prevention system was presented based on major preceding studies and literature investigation and analysis. Through the construction plan, effects such as preventing traffic accidents, inducing smart drivers to drive safely, strengthening pedestrian safety awareness, and inducing driver's awareness of safety can be expected.

A Study on Estimating the Crossing Speed of Mobility Handicapped for the Activation of the Smart Crossing System (스마트횡단시스템 활성화를 위한 교통약자의 횡단속도 추정)

  • Hyung Kyu Kim;Sang Cheal Byun;Yeo Hwan Yoon;Jae Seok Kim
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.21 no.6
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    • pp.87-96
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    • 2022
  • The traffic vulnerable, including elderly pedestrians, have a relatively low walking speed and slow cognitive response time due to reduced physical ability. Although a smart crossing system has been developed and operated to improve problem, it is difficult to operate a signal that reflects the appropriate walking speed for each pedestrian. In this study, a neural network model and a multiple regression model-based traversing speed estimation model were developed using image information collected in an area with a high percentage of traffic vulnerability. to support the provision of optimal walking signals according to real-time traffic weakness. actual traffic data collected from the urban traffic network of Paju-si, Gyeonggi-do were used. The performance of the model was evaluated through seven selected indicators, including correlation coefficient and mean absolute error. The multiple linear regression model had a correlation coefficient of 0.652 and 0.182; the neural network model had a correlation coefficient of 0.823 and 0.105. The neural network model showed higher predictive power.