• Title/Summary/Keyword: 승하차 안전

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Design of Safety Management System for Children in Bus using IoT (IoT를 이용한 승하차 안전 관리 시스템 설계)

  • Kim, Jungsug;Ryoo, Kwangki
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.05a
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    • pp.525-527
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    • 2018
  • Recently, the risk of a safety accident for all children under seven years of age or kindergarten is on the rise. Therefore, we designed the system to inform the receiver of the safety situations generated when entering or exiting the school bus using the body's pressure, GPS, and IR through IoT. In addtion, The system is also designed so that the teacher can check safety status through the Bluetooth application when an infant enters or leaves the vehicle.

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Bus boarding advance notice system (버스 승하차 사전 알림 시스템)

  • Park, Jun-young;Kim, Doo-Hyeon;Kim, Su-ho;Park, Jin-woo;Choi, Byeong-jo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2018.10a
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    • pp.943-946
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    • 2018
  • 본 논문은 공공데이터 API를 활용한 ITS(Intelligent Transport System)를 구현하여, 버스 승하차 관련 문제를 개선하는 버스 승하차 사전 알림 시스템에 관한 것이다. 수도권 및 대도시 전체 버스 관련 민원신고 중 가장 많이 차지하는 부분이 버스의 정류장 무정차 통과 및 승차거부 문제다. 이를 해결하기 위해 사전에 승객의 승하차 여부를 버스 운전사에게 미리 알리는 시스템을 제안한다. 이 시스템은 승객용 애플리케이션, 중앙 서버 그리고 버스에 설치되는 디바이스로 구성되어 있으며 예비 승하차 승객이 애플리케이션을 이용하여 자신이 원하는 버스에 대한 정보를 MQTT Broker를 이용하여 서버에 보내고 서버는 해당 버스의 정보와 현재 노선의 운행 현황을 주기적으로 확인하여 요청 정류장 이전에 도달하였을 때 버스 운전자 측 디바이스에 신호를 보내어 버스 운전자가 예비 승하차 승객이 있음을 사전에 알 수 있게 한다. 이 시스템을 통해 무정차 및 승차거부 문제를 근본적으로 해결하여 사용자 편의 승객 안전 일반 차량 운전자 안전 도로 교통 안정화를 도모한다.

CNN3D-Based Bus Passenger Prediction Model Using Skeleton Keypoints (Skeleton Keypoints를 활용한 CNN3D 기반의 버스 승객 승하차 예측모델)

  • Jang, Jin;Kim, Soo Hyung
    • Smart Media Journal
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    • v.11 no.3
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    • pp.90-101
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    • 2022
  • Buses are a popular means of transportation. As such, thorough preparation is needed for passenger safety management. However, the safety system is insufficient because there are accidents such as a death accident occurred when the bus departed without recognizing the elderly approaching to get on in 2018. There is a safety system that prevents pinching accidents through sensors on the back door stairs, but such a system does not prevent accidents that occur in the process of getting on and off like the above accident. If it is possible to predict the intention of bus passengers to get on and off, it will help to develop a safety system to prevent such accidents. However, studies predicting the intention of passengers to get on and off are insufficient. Therefore, in this paper, we propose a 1×1 CNN3D-based getting on and off intention prediction model using skeleton keypoints of passengers extracted from the camera image attached to the bus through UDP-Pose. The proposed model shows approximately 1~2% higher accuracy than the RNN and LSTM models in predicting passenger's getting on and off intentions.

A study on accident prevention AI system based on estimation of bus passengers' intentions (시내버스 승하차 의도분석 기반 사고방지 AI 시스템 연구)

  • Seonghwan Park;Sunoh Byun;Junghoon Park
    • Smart Media Journal
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    • v.12 no.11
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    • pp.57-66
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    • 2023
  • In this paper, we present a study on an AI-based system utilizing the CCTV system within city buses to predict the intentions of boarding and alighting passengers, with the aim of preventing accidents. The proposed system employs the YOLOv7 Pose model to detect passengers, while utilizing an LSTM model to predict intentions of tracked passengers. The system can be installed on the bus's CCTV terminals, allowing for real-time visual confirmation of passengers' intentions throughout driving. It also provides alerts to the driver, mitigating potential accidents during passenger transitions. Test results show accuracy rates of 0.81 for analyzing boarding intentions and 0.79 for predicting alighting intentions onboard. To ensure real-time performance, we verified that a minimum of 5 frames per second analysis is achievable in a GPU environment. his algorithm enhance the safety of passenger transitions during bus operations. In the future, with improved hardware specifications and abundant data collection, the system's expansion into various safety-related metrics is promising. This algorithm is anticipated to play a pivotal role in ensuring safety when autonomous driving becomes commercialized. Additionally, its applicability could extend to other modes of public transportation, such as subways and all forms of mass transit, contributing to the overall safety of public transportation systems.

Design for Safety System get On or Off the Kindergarten Bus using User Authentication based on Deep-learning (딥러닝 기반의 사용자인증을 활용한 어린이 버스에서 안전한 승차 및 하차 시스템 설계)

  • Mun, Hyung-Jin
    • Journal of Convergence for Information Technology
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    • v.10 no.5
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    • pp.111-116
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    • 2020
  • Recently, many safety accidents involving children shuttle buses take place. Without a teacher for help, a safety accident occurs when the driver can't see a child who is getting off in the blind spot of both frontside and backside. A deep learning-based smart mirror allows user authentication and provides various services. Especially, It can be a role of helper for children, and prevent accidents that can occur when drivers or assistant teachers do not see them. User authentication is carried out with children's face registered in advance. Safety accidents can be prevented by an approximate sensor and a camera in frontside and backside of the bus. This study suggests a way of checking out whether children are missed in the process of getting in and out of the bus, designs a system that reduce blind spots in the front and back of the vehicle, and builds a safety system that provide various services using GPS.

DEVELOPMENT OF PASSENGER SAFETY BOARD FOR RAILWAY VEHICLE USE

  • Mun Hyung-Suk;Eum Ki-Young;Koo Dong-Hoe
    • Proceedings of the KSR Conference
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    • 2003.10c
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    • pp.287-294
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    • 2003
  • There are a lot of curved subway stations in Seoul metropolitan area. These must be straightly constructed as many as possible. But some of stations are roundly designed and built in order to avoid pre-existed underground obstacle such as basement of high rise building, underground gas or water pipe line and subway stations from another line. As shown fig 1, one of the biggest problem occurring curved subway station is considered large gap between platform and vehicle when vehicle completely stop at the station. The gap potentially is in existence to subway passenger as very dangerous factors in rush hours. If passenger accidentally drop their food or leg between this gap when they get on the train and train leaves station, the passenger will be seriously injured by vehicle. In this paper, various design and instruments are introduced and best solution for this matter will be presented. In order to eliminate any possibility of accident happened gap between platform and vehicle, KRRI(Korea Railroad Research Institute) have been developed new safety instrument. These technologies were applied for patent by KRRI. These mechanisms will provide confidence as well as safety to Korean subway passenger

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Development of Riding Support Devices for the Disabled of Urban Railway System (도시철도에서의 교통약자 승.하차 지원장치 개발)

  • Joung, Eui-Jin
    • Proceedings of the KAIS Fall Conference
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    • 2012.05b
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    • pp.772-774
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    • 2012
  • 최근 차량과 플랫폼 사이의 공간에 휠체어의 바퀴 또는 승객의 발이 빠지는 등의 안전사고가 보고되고 있어 교통약자의 이동을 제한하는 요소로 작용함에 따라 차량과 플랫폼 사이 공간을 메우는 안전스텝을 개발하게 되었다. 안전스텝으로 기존 플랫폼에 설치하는 고무타입은 고정식 고무발판을 미리 설치해 두어 차량과 플랫폼의 간격을 미리 줄이는 방식이나 직선, 곡선 형태의 각각의 역사가 가지는 조건에 유연하게 대응하고, 차량의 승객수와 플랫폼의 조건에 따라 달라지는 승하차 높이에 유연하게 대응하고자 차량에 설치하는 방식을 개발하게 되었다. 본 논문에서는 개발한 안전스텝의 구성 및 기능을 설명하고 논하고자 한다.

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Strength Evaluation of Telescopic Sliding Doorstep Equipment for Railway Vehicle (철도차량 슬라이드식(텔레스코픽) 승강문 스텝의 강도평가)

  • Kim, Chul-Su;Park, Min-Heung
    • Journal of the Korean Society for Railway
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    • v.15 no.4
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    • pp.352-356
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    • 2012
  • Heights of a platform above the rail for the passenger train in the country are classified into two categories such as the low level (500mm; mainline) and the high level (1,135mm; metropolitan subway line) platforms. In order to operate similarly both a mainline railroad and a metropolitan subway line, as the requisite door safety system, it is necessary to develop the doorstep equipment of the rolling stock regardless of both the low and high level platforms. In this study, Structural analysis and mechanical strength test of doorstep equipments used for two types of platforms are performed on the supposition that the train only for the low level platform could stop in the both low and high level platforms.

Child Traffic Safety Automatic Reversing Smart Car Seat (어린이 교통안전 위한 자동 방향 전환 스마트 카시트)

  • In-Gyung Yun;Se-Hui Lee;Ji-Won Park;In-Soo KIm
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.11a
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    • pp.778-779
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    • 2023
  • 본 논문은 어린이의 불편함을 해소하며 카시트 사용율을 증가시키기 위해 어린이의 안전한 이동과 편의를 제공하는 '어린이 교통안전 위한 자동 방향 전환 스마트 카시트'를 제안한다. 주요 특징은 다음과 같다. 첫째, 카시트에 자녀를 태우고 내리는 과정이 편리하도록 승하차 모드를 제공한다. 둘째, 상황에 맞게 정방향, 역방향 전환이 가능하다. 셋째, 운전자가 운전에 집중할 수 있도록 음성인식으로 모드를 전환할 수 있다. 넷째, 수면인식을 하여 어린이가 차안에서 편안하게 잘 수 있도록 햇빛가리개를 작동한다. 다섯째, 흔들린 아이 증후군 방지를 위해 카시트의 높이와 너비를 조절할 수 있다.

An Study on Safe Driving and Accident Prevention System (안전운전 및 승하차 사고방지시스템에 관한 연구)

  • Ku, Hyun-Mo;Kim, Tae-Jun;Yang, Ki-Chang;Lee, Do-Hyun;Jun, Byeong-Mo;Park, Jin-Ho;Kim, Young-Jong
    • Proceedings of the Korea Information Processing Society Conference
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    • 2017.04a
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    • pp.745-746
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    • 2017
  • 통계상 국민 2명중 1명이 차를 소유하고 있는 오늘 날, 뉴스를 통해서 차량사고에 의한 인명사고 소식을 심심치 않게 접할 수 있다. 그 중 많은 비중을 차지하고 있는 사고는 승 하차시의 접촉 사고로, 최근 들어 증가하는 추세이다. 그래서 이러한 자동차 접촉사고에서의 자동차 탑승자의 안전을 지키기 위한 대책이 시급하다고 생각하였고, 이에 본 논문에서는 뒤의 다가오는 물체에 대한 속도측정을 통한 자동 차문 잠김을 대안으로 제시하며, 이를 통해서, 자동차 탑승자들의 안전을 보장하는 것에 보다 더 한걸음 나아가고자 한다.