• Journal of the Korean Society of Safety
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• v.27 no.3
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• pp.117-124
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• 2012

There have been recently introduced new types of urban metro vehicles called LRT (Light Rail Transit) running on elevated guideway such as Uijeongbu VAL(which stands for V$\acute{e}$hicule Automatique L$\acute{e}$ger: Automatic Light Rail Vehicle) system, Yong-In LIM(Linear Induction Motor) system, Incheon international airport MAGLEV(Magnetic Levitated Vehicle) system and Daegu monorail system. Most of accidents by the vehicles are bound to happen on elevated guideway. Therefore, it is of vital importance to analyze hazards related to vehicles running on elevated guideway and study emergency evacuation scenarios applicable in case of accidents on elevated guideway so as to secure the safety of the new types of urban metro vehicles. In this study, FTA(Fault Tree Analysis) model was developed to identify all possible hazards, and all possible evacuation scenarios were studied. It was also confirmed that each hazard can be corresponded to one or more evacuation scenarios. This result shows that passengers can be evacuated according to one of the scenarios identified in this study in case of an accident of "Train Stranded on Elevated Guideway".

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.9
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• pp.1166-1175
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• 2021

We investigate the current situation and development trend of domestic smart city and emergency vehicle priority signal control system analyzing the existing effectiveness of 1) emergency vehicle priority signal control system and 2) control emergency vehicle priority signal, based on domestic and foreign prior research for signal control system security. The effectiveness of time reduction was analyzed through actual application and test operation to emergency vehicles after establishing the system. In addition, for security management and stable service of real-time signal system control we propose improvement for the technical control items of the ISMS-P certification system to secure golden time to protect citizens' precious lives and property in case of emergency by classifying and mapping the existing ISMS-P certification system and the Korea Internet & Security Agency's cyber security guide according to the items of security threats.

• Journal of the Korean Operations Research and Management Science Society
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• v.6 no.1
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• pp.75-82
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• 1981

This paper considers urban emergency service systems that dispatch vehicles (facilities) from fixed bases with the objective of finding an optimum allocation of emergency facilities. A case study of fire station problem of Seoul city is conducted to analyze the deployment of fire-fighting resources and develop a class of improved deployment strategies with Parameteric Allocation Model (P.A.M.). The study shows a long term plan leading to balanced fire protection for most fire hazardous districts as well as low alarm districts.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.3
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• pp.110-119
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• 2017

This study develops a passive traffic signal priority control algorithm for emergency vehicles. The passive priority control estimates and applies signal times for each signalized intersection on the emergency vehicle's route when an emergency call is received. As signals are controlled before the emergency vehicle leaves for its destination, it is possible to clear the queues at each intersection more effectively. Most of the previous studies applied preemption, which ends green time of cross streets when the emergency vehicle arrives at each intersection. This study applies green extension and early green in order not to shift the order of phases, and guarantees minimum green time for each phase. Simulation results show that the delay of emergency vehicles decreases when the signals are controlled. It is expected that delays can be decreased further by integrating the active priority control with the passive priority control algorithm presented in this study.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.14 no.2
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• pp.134-139
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• 2021

Currently, the autonomous vehicle market is commercializing a level 3 autonomous vehicle, but it still requires the attention of the driver. After the level 3 autonomous driving, the most notable aspect of level 4 autonomous vehicles is vehicle stability. This is because, unlike Level 3, autonomous vehicles after level 4 must perform autonomous driving, including the driver's carelessness. Therefore, in this paper, we propose the Emergency-notification and Driver-response Confirmation System(EDCS) for an autonomousvehicle safety that notifies the driver of an emergency situation and recognizes the driver's reaction in a situation where the driver is careless. The EDCS uses the emergency situation delivery module to make the emergency situation to text and transmits it to the driver by voice, and the driver response confirmation module recognizes the driver's reaction to the emergency situation and gives the driver permission Decide whether to pass. As a result of the experiment, the HMM of the emergency delivery module learned speech at 25% faster than RNN and 42.86% faster than LSTM. The Tacotron2 of the driver's response confirmation module converted text to speech about 20ms faster than deep voice and 50ms faster than deep mind. Therefore, the emergency notification and driver response confirmation system can efficiently learn the neural network model and check the driver's response in real time.

• The Korean Journal of Emergency Medical Services
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• v.25 no.1
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• pp.159-175
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• 2021

Purpose: This study aimed to obtain, categorize, and analyze baseline data regarding the subjective perception of ambulances from the consumers' perspective, which can be utilized for improving emergency medical service systems. Methods: Fifty people aged 20 to 40 years old were selected as P samples. Data from 35 statements of Q-cards and Q-sample distribution plots were gathered using Q-sort and analyzed using the PC-QUANL program for major factor analysis. Results: We found four unique characteristics which accounted for 57.57% of the total variation: "Considerate of emergency situations," "Identifying emergency patients," "Trusting emergency vehicles," and "Sympathizing with emergency patients." Conclusion: Organizations that provide emergency medical services using ambulances should plan and render patient care according to the four types of public perception of ambulances.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.4
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• pp.31-40
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• 2016

In vehicular ad-hoc networks (VANETs), vehicles sense information on emergency incidents (e.g., accidents, unexpected road conditions, etc.) and propagate this information to following vehicles and a server to share the information. However, this process of emergency message propagation is based on multiple broadcast messages and can lead to broadcast storms. To address this issue, in this work, we use a novel approach to detect the vehicles that are farthest away but within communication range of the transmitting vehicle. Specifically, we discuss a signal-to-noise ratio (SNR)-based linear back-off (SLB) scheme where vehicles implicitly detect their relative locations to the transmitter with respect to the SNR of the received packets. Once the relative locations are detected, nodes that are farther away will set a relatively shorter back-off to prioritize its forwarding process so that other vehicles can suppress their transmissions based on packet overhearing. We evaluate SLB using a realistic simulation environment which consists of a NS-3 VANET simulation environment, a software-based WiFi-IP gateway, and an ITS server operating on a separate machine. Comparisons with other broadcasting-based schemes indicate that SLB successfully propagates emergency messages with latencies and hop counts that is close to the experimental optimal while reducing the number of transmissions by as much as 1/20.

• The Korean Journal of Emergency Medical Services
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• v.10 no.1
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• pp.13-21
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• 2006

Purpose: This study aims to examine characteristics and actual conditions of patients using emergency room at farming and fishing villages, solve overcrowding of emergency room at the tertiary hospital and activate local emergency clinics. Methods: It examines department of diagnosis and treatment, vehicles used, sex, age, residential area, visit hour, length of stay, presence or absence of trauma, measures after first aid and degree of severity based on medical records of 6,740 patients using emergency room at farming and fishing villages from Jan. 1 to Dec. 31, 2005. Conclusion : 1. Sex distribution of patients of emergency room was male 54.9% and female 45.1% and age distribution between over 40 and below 50 was most as 15.9%. 2. Transport means to emergency room were 91.4 of private car and others (public transport and going on foot), 7.5 of 119, 129 and police car and 1.0% of ambulance. 3. According to distribution of residential areas of emergency patients, 38.9% were Eup area, 42.1% Myeon area, 11.4% distant area and 7.5% adjacent area. 4. According to distribution of emergency patients by department of diagnosis and treatment, internal medicine was most as 35.8% and 55% of patients visited emergency room from 3:31 p.m. to 11:30 p.m.. 5. According to total hours of diagnosis and treatment of subjects, 51.2% were within 30min. and cases of non-trauma disease were 68.2%. 6. According to degree of emergency of emergency patients, non-emergency cases were 65.3%, urgent cases 27.7% and emergency cases 7.0% and 74.2% of patients returned home after first aid and 20.6% of them hospitalized. In conclusion, characteristics and diversification of patients should be examined and efforts by government and local medical institutions which must organize emergency system and facility and personnel levels suitable to regional conditions are needed in order to prevent overcrowding of emergency center of the tertiary hospital and activate local emergency center.

• Journal of Auto-vehicle Safety Association
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• v.13 no.4
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• pp.106-113
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• 2021

In this study, The behavior of an autonomous vehicle in an intersection accident situation is predicted. Based on a representative intersection accident situation from actual intersection accident database, simulation was performed by applying the automatic emergency braking algorithm used in the autonomous driving system. Accident reconstruction was performed based on the accident report of the representative accident situation. After applying the autonomous driving system to the accident-related vehicle, the tendency of intersection accidents that may occur in autonomous vehicles was identified and analyzed.

• The Korean Journal of Emergency Medical Services
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• v.20 no.2
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• pp.113-125
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• 2016

Purpose: The purpose of this study was to investigate factors influencing severity of occupational fall injury. Methods: A self-reported questionnaire was completed by 105 patients sustaining occupational fall injury between July 2010 and January 2013. The study instruments were developed by the National Traumatic Occupational Fatalities and National Electronic Injury Surveillance System. The questionnaire consisted of general characteristics of the subjects (30 items), workplace characteristics (12 items) and disaster characteristic (13 items). Results: Demographic factors, except age, did not affect the severity of injury. Injured patients aged 50-59 years tended to have more severe injuries than those aged 39 years. Type of transport vehicles, conditions, and the circumstances of the fall influenced injury severity. Patients transported by 119 ambulance suffered more severe fall injuries than those who were not. Electrical workers did not receive safety education wihin a year. Critical height in severe injuries was > 6 meters. Conclusion: Occupational fall injuries were influenced by patient age, types of transport vehicles, fall height, size of workplace, and safety education experience.