• Title/Summary/Keyword: 긴급차량 우선신호

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A Study on the Preemption Control Strategies Considering Queue Length Constraints (대기행렬길이 제약조건을 고려한 Preemption 제어 전략에 관한 연구)

  • Lee, Jae-Hyeong;Lee, Sang-Su;O, Yeong-Tae
    • Journal of Korean Society of Transportation
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    • v.27 no.2
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    • pp.179-187
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    • 2009
  • Currently, the signalized intersections in Korea are operated without providing an emergency vehicle preemption control strategy. Thus, it might threaten the safety of the pedestrians and drivers on highways when an emergency vehicle faces congested traffic conditions. The existing preemption control is activated when an emergency vehicle is detected along a path. This enables emergency vehicles to progress uninterrupted, but it also increases the delay of other vehicles. In this paper, a revised preemption control strategy considering queue length restrictions is proposed to make both a progressive movement of an emergency vehicle and reduce delay of other vehicles simultaneously. By applying the preemption control strategy through a simulation study, it was shown that delay of an emergency vehicle decreased to 44.3%-96.1% and speed increased to 8.8%-42.0% in all 9 cases as compared with a conventional signal control. The existing preemption control is superior for oversaturated conditions (v/c >1.0) or a link length less than 200m. However, the preemption control considering queue length constraints shows better performance than the existing preemption control when the v/c is less than 0.8 and a link length is longer than 500m.

Study on Cases of Priority Traffic Signal System for Emergency Vehicles: Based on a City's Pilot Operation Cases in Chungcheongbukdo Province (긴급차량 우선교통신호시스템 사례에 관한 연구: 충청북도 내 일개도시 시범운영 사례를 중심으로)

  • Kim, Jin-Hyeon;Lee, Hyo-Ju
    • Fire Science and Engineering
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    • v.34 no.1
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    • pp.121-126
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    • 2020
  • The aim of this study is to suggest ways to capitalize on the golden period for timely response to fire and emergency victims. To implement a system to effectively capitalize on the golden period, there is a need for policy measures as well as legal and social consensus. Precedent research has relentlessly mentioned the need for and feasibility of the priority traffic system for emergency vehicles. To this end, the present study involved an analysis of pilot cases of the priority traffic signal system for emergency vehicles introduced in a city during 26 days, from April 3 to 28, 2017. Out of 58 cases registered with the local 1-1-9 fire house, the number of cases that took advantage of the priority traffic system stood at 16 in response to fire and 11 to first-aid operations. Owing to the system, on average, the response time reduced by 3 min and 50 s in case of fire and by 3 min and 30 s for first aid. There were four complaints registered owing to traffic congestion, and the number of car accidents declined to one from six over the same period in the previous year. Based on these findings, it is safe to say that the priority traffic signal system would be effective for emergency vehicles to capitalize on the golden period if issues identified during the pilot run are resolved.

Emergency vehicle priority signal system based on deep learning using acoustic data (음향 데이터를 활용한 딥러닝 기반 긴급차량 우선 신호 시스템)

  • Lee, SoYeon;Jang, Jae Won;Kim, Dae-Young
    • Journal of Platform Technology
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    • v.9 no.3
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    • pp.44-51
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    • 2021
  • In general, golden time refers to the most important time in the initial response to accidents such as saving lives or extinguishing fires. The golden time varies from disaster to disaster, but is aimed at five minutes in terms of fire and first aid. However, for the actual site, the average dispatch time for ambulances is 9 minutes and the average transfer time is 17.6 minutes, which is quite large compared to the golden time. There are various causes for this delay, but the main cause is traffic jams. In order to solve the problem, the government has established emergency car concession obligations and secured golden time to prioritize ambulances in places with the highest accident rate, but it is not a solution in rush hour when traffic is increasing rapidly. Therefore, this paper proposed a deep learning-based emergency vehicle priority signal system using collected sound data by installing sound sensors on traffic lights and conducted an experiment to classify frequency signals that differ depending on the distance of the emergency vehicle.

Applicability of Emergency Preemption Signal Control under UTIS (UTIS를 이용한 긴급차량 우선신호 제어방안)

  • Park, Soon-Yong;Kim, Dong-Nyong;Kim, Myung-Soo;Lee, Jung-Beom
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.11 no.5
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    • pp.27-37
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    • 2012
  • Even thought the firefighters have to hurry to the scene to extinguish the blaze, the fire engines could not rushed out due to the worst of traffic condition. Traffic signal control is one of the most important methods to minimize the fire engines's travel time. The focus of this paper is to develop a traffic control strategy, which is emergency vehicle preemption algorithm considering pedestrian in order to reduce travel time of emergency vehicle. This algorithm also includes recovering strategy after preemption signal to minimize the other vehicle's delay. In order to estimate the effectiveness of traffic control, traffic simulation was performed using VISSIM micro simulation tool for two different kinds of networks, which were non-coordinated corridor and coordinated corridor. The differences of travel time and average delay between emergency vehicle and ordinary vehicle were respectively estimated under pre-existed pretimed signal and preemption traffic control at two respective networks. The results of the simulation for the emergency vehicle, travel time was reduced to 36.8~43.3% under "Add or Subtract" method whereas it was reduced to 30.7~46.0% under "Dwell" method. In addition, in non-coordinated corridor case of ordinary vehicle, average control delay of "Dwell" method was increased 33.5% whereas it grew 0.5% under coordinated corridor. And "Add or Subtract" method was confirmed that average control delay of ordinary vehicle was increased 0.7% under non-coordinated corridor whereas it swelled 4.5% under coordinated corridor.

Effect Analysis on Emergency Vehicle Priority System for Securing Golden Time: Targeting on Cheongju City (골든타임 확보를 위한 긴급차 우선신호시스템의 효과 분석: 청주시를 대상으로)

  • Jeong, Keesin;Kim, Kitae
    • Fire Science and Engineering
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    • v.33 no.3
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    • pp.138-142
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    • 2019
  • By securing golden time, this study analyzed the effects of an emergency vehicle priority system in Cheongju, North Chungcheong province. Until the scene of a fire is reached, severe obstacles in the street, such as traffic congestion, cars coming forward, non-cooperative vehicles etc., are significant. To solve these problems of road obstacles, it is essential to adopt an emergency vehicle priority system. From April 2017 to June 2018 (1 year and 2 months, 426 days), the dispatch time and date, fire truck moving distance and required time, traffic signal control section and pass time, and shortening time, were measured. This study selected 140 cases consisting of five heavy traffic and frequent dispatch routes out of 293 cases. The effects of the emergency vehicle priority system were excellent. Overall, it took 3 min 3 s to pass 1 km on an uncontrolled traffic signal section. On the other hand, it took 1 min 23 s to pass 1 km on the same section that was controlled. The shortening time to pass 1 km was 1 min 40 s, showing a 45.4% reduction. This means that the 15 min driving time can be reduced to 6 min and 49 s. From this result, an emergency vehicle priority system should be implemented nationwide as soon as possible.

An Authentication Scheme for Emergency Vehicle Priority Transit Service in VANET (VANET 기반의 긴급 차량 우선통과 서비스를 위한 인증 기법)

  • Yoon, Young-Kyun;Jung, Sou-Hwan
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.33 no.10C
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    • pp.749-757
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    • 2008
  • In this paper, we propose an authentication scheme for EVPT (Emergency Vehicle Priority Transit) service in Vehiclar Ad-hoc Networks (VANET) enable a variety of vehicle comfort services, traffic management applications, and infotainment services. These are the basis for a new generation of preventive and active safety functions. By intelligently controlling signalling at intersections, providing additional information to the driver and warning the driver in critical situations. we therefore focus on vehicle-to-infrastructure communication for the authentication between emergency vehicles and traffic lights system. This authentication process should identify the vehicle, and provide privacy protection.

Simulation of Traffic Signal Control with Adaptive Priority Order through Object Extraction in Images (영상에서 객체 추출을 통한 적응형 통행 우선순위 교통신호 제어 시뮬레이션)

  • Youn, Jae-Hong;Ji, Yoo-Kang
    • Journal of Korea Multimedia Society
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    • v.11 no.8
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    • pp.1051-1058
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    • 2008
  • The advancement of technology for image processing and communications makes it possible for current traffic signal controllers and vehicle detection technology to make both emergency vehicle preemption and transit priority strategies as a part of integrated system. Present]y traffic signal control in crosswalk is controlled by fixed signals. The signal control keeps regular signals traffic even with no traffic, when there is traffic, should wait until the signal is given. Waiting time causes the risk of traffic accidents and traffic congestion in accordance with signal violation. To help reduce the risk of accidents and congestion, this paper explains traffic signal control system for the adaptive priority order so that signal may be preferentially given in accordance with the situation of site through the object detect images.

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Deep Learning Based Emergency Response Traffic Signal Control System

  • Jeong-In, Park
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.2
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    • pp.121-129
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    • 2023
  • In this paper, we developed a traffic signal control system for emergency situations that can minimize loss of property and life by actively controlling traffic signals in a certain section in response to emergency situations. When the emergency vehicle terminal transmits an emergency signal including identification information and GPS information, the surrounding image is obtained from the camera, and the object is analyzed based on deep learning to output object information having information such as the location, type, and size of the object. After generating information tracking this object and detecting the signal system, the signal system is switched to emergency mode to identify and track the emergency vehicle based on the received GPS information, and to transmit emergency control signals based on the emergency vehicle's traveling route. It is a system that can be transmitted to a signal controller. This system prevents the emergency vehicle from being blocked by an emergency control signal that is applied first according to an emergency signal, thereby minimizing loss of life and property due to traffic obstacles.

The traffic management system for Emergency Vehicles based on DSRC System (DSRC 시스템 기반의 긴급차량을 위한 교통 관리 시스템)

  • Choi Kwang-Joo;Kim Dae-Hyuk;Yoon Dong-Weon;Park Sang-Kyu
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.43 no.9 s.351
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    • pp.40-48
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    • 2006
  • In this paper, we propose the EPTS(Emergency vehicle Priority Transit system) for a rapid drive or emergency vehicles at the crossroads. The EPTS is one part of real-time traffic management system in the advanced traffic management system. The EPTS needs the connection or a traffic control system and a DSRC system. It can be applied to the real traffic situation considered with other traffic elements. As the result it is possible for the EPTS to nonstop drive because it induces an efficient drive of emergency vehicles. It is also relatively safe at the crossroad, it is expected that the EPTS is suitable for a telematics service which values efficiency above everything else.