• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 1998.06a
• /
• pp.59-66
• /
• 1998

교통정보와 DGPS(Differential GPS) 보정신호의 전송은 ITS(Intelligent Transport System)의 핵심 응용분야인 차량항법시스템(CNS : Car Navigation System)의 동적경로안내(Dynamic Routine Guidance System) 시스템의 핵심적인 요구사항이다. 이 정보들은 서비스 특성상 넓은 지역을 수신지역으로 하고 24시간 연속적으로 전송이 되어야 한다. 즉 주행주인 차량에서 자신의 위치 정확히 파악하기 위한 DGPS 보정신호 및 사고, 교통통제나 체증 등의 교통사항을 항상 수신할 수 있도록 항시 전송이 되어야 한다. FM 방송을 활용하여 이러한 요구사항을 충족시키는 전송채널로 활용될 수 있음을 확인하기 위해 FM 방송과 DARC 방식의 부반송파 시뮬레이터가 제작되었으며 이 시스템의 특성이 연구되었다. 또한 정보데이터를 현용 FM 방송설비를 이용하여 전송하기 위한 방송시스템을 제작하고 서울 및 경기도 지역을 수신지역으로 한 방송수신상태의 측정이 수행되었다. 이 결과들은 FM 부반송이 ITS를 위한 전송채널로서 활용될 수 있다는 것을 보여준다.

• Journal of Auto-vehicle Safety Association
• /
• v.15 no.4
• /
• pp.71-78
• /
• 2023

This study presents the direction of data triggers and elements to be recorded in automated vehicles in the future in relation to the event data recorder (EDR) and data storage system for automated driving (DSSAD). It does not distinguish between the EDR and DSSAD, but suggests data triggers and elements in preparation for overall automated vehicle accidents and dangerous situations. To propose, the current status of discussions on EDR/DSSAD internationally and the case of investigating accidents with automated vehicles under temporary driving licenses in Korea were analyzed. Based on the analysis, the direction of data triggers and elements of the EDR/DSSAD of automated vehicles were presented.

• Journal of Industrial Convergence
• /
• v.18 no.3
• /
• pp.53-61
• /
• 2020

Travel speed is an important parameter for measuring road traffic and incident detection system. In this paper I suggests a model developed for estimating reliable and accurate average roadway link travel speeds using image processing sensor. This method extracts the vehicles from the video image from CCTV, tracks the moving vehicles using deep neural network, and extracts traffic information such as link travel speeds and volume. The algorithm estimates link travel speeds using a robust data-fusion procedure to provide accurate link travel speeds and traffic information to the public. In the field tests, the new model performed better than existing methods.

• Journal of Auto-vehicle Safety Association
• /
• v.12 no.3
• /
• pp.52-60
• /
• 2020

Usage of EDR(Event Data Recorder) report for traffic accident analysis is currently increasing due to government regulation of EDR data release. Nevertheless, a lot of investigators simply adopt by comparing the number of ignition cycles(crash) at event to the number of ignition cycles(download) without an exact judgment whether event data occurred by this accident or not. In the EDR report, besides ignition cycles, there are many factors such as event record type, algorithm active(rear/rollover/side/frontal), time between events, event severity status(rollover/rear/right side/reft side/frontal), belt switch circuit status, driver/passenger pretensioner/air-bag deployment, PDOF(Principal Direction of Force) by ΔV to be able to decide whether or not to adopt. also the event data is considered enough to vehicle damaged state, accident situation at the scene of the accident. and there is described in "all data should be examined in conjunction with other available physical evidence from the vehicle and scene" in the CDR(Crash Data Retrieval) report. Therefore many investigators have to decide whether or not to adopt after they consider sufficiently to above factors when they are the traffic accident analysis and investigate the causes of a accident on the adopted event data. In this paper, we report to traffic accident investigators notable points and analysis methods on the basis of thousands of cases and the results of one's own experiment in NFS(National Forensic Service).

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.17 no.2
• /
• pp.128-141
• /
• 2018

In this paper, a methodology to analyze the potential safe benefit of six cooperative driver assistance systems via V2V (vehicle-to-vehicle) communications is proposed. Although it is quite necessary to assess social impact with respect to new safety technologies for cooperative vehicles with V2V communications, there are few studies in Korea to predict the quantitative safety benefit analysis. In this study, traffic accident scenarios are classified based on traffic fatality between passenger cars. The sequential collision type is classified for a multiple pile-up with respect to collision direction such as forward, side, head-on collisions. Then movement of surrounding vehicle is considered for the scenario classification. Next, the cooperative driver assistance systems such as forward collision warning, blind spot detection, and intersection movement assistance are related with the corresponding accident scenarios. Finally, it is summarized how much traffic fatality may be reduced potentially due to the V2V communication based safety services.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.18 no.5
• /
• pp.34-48
• /
• 2019

The purpose of this study was two-fold; first, to develop safety performance functions (SPF) using transportation-related big data for all types of roads in Korea were developed, Second, to provide basic information to develop measures for relatively dangerous roads by evaluating the safety grade for various roads based on it. The coordinates of traffic accident data are used to match roads across the country based on the national standard node and link system. As independent variables, this study effort uses link length, the number of traffic volume data from ViewT established by the Korea Transport Research Institute, and the number of dangerous driving behaviors based on the digital tachograph system installed on commercial vehicles. Based on the methodology and result of analysis used in this study, it is expected that the transportation safety improvement projects can be properly selected, and the effects can be clearly monitored and quantified.

• Proceedings of the Korean Information Science Society Conference
• /
• 2011.06b
• /
• pp.420-422
• /
• 2011

2009년 경찰청 통계자료에 따르면 교통사고 사망자 중 안전 운전 불이행, 중앙선 침범, 신호 위반, 안전거리 미확보 등 운전자의 부주의에 의해 이루어진 사고가 약 90%이상을 차지하고 있어 심각한 사회적 경제적 문제를 초래한다. 이러한 운전자의 운전습관 개선 및 안전운전에 대한 사회적 요구, 사고 기록 등의 요구에 부응하기 위하여, 디지털 주행기록계 차량용 블랙박스 등 다양한 형태의 시스템이 사용되고 있으나, 이러한 시스템은 사고 후 차량데이터를 기반으로 위험운전여부를 분석하여 운전자를 관리하기 때문에 실시간으로 운전자를 관리하기에는 큰 한계가 있다. 이에 본 연구는 3축 가속도 센서와 GPS를 사용하여 위험운전 여부를 판단하고, 그 결과를 계수화하여 운전자의 정숙 운전 지수를 계산하여 보여줌으로써, 안전 운전과 급정차 급출발에 따른 연비 악화를 개선할 수 있도록 한다.

• Journal of Korea Society of Industrial Information Systems
• /
• v.24 no.4
• /
• pp.21-28
• /
• 2019

As ICT technology develops, researches on the construction of communication system for the rapid processing using ICT technology in case of traffic accidents are actively under way. e-Call (Emergency call) is a vehicle ICT-based emergency rescue system that recognizes and reports traffic accidents. On the other hand, the existing bus information system collects the positioning data through the position tracking system mounted on the bus and transmits it to the center, and then provides various services based on the bus information of the collected buses. In this paper, we designed and implemented an emergency rescue system that using the existing bus information system in order to deal with accidents, failures, and emergency situations on public buses quickly.

• The Journal of the Korea Contents Association
• /
• v.22 no.1
• /
• pp.274-282
• /
• 2022

In order to secure pedestrians' right to walk, we have up-cycled second hand mobile phones to overcome limitations of the existing survey methods, analysis methods, and diagnosis to reduce pedestrian traffic accidents. Second hand mobile phones were up-cycled to produce mobile CCTVs and installed in areas where pedestrian deaths rate is high to secure image data sets for the period of more than 24 hours. It was analyzed by applying image visualization technology and clouding reporting technology, and more precise and accurate results were derived through modeling based on artificial intelligence learning and GIS-based diagnostic guidance. As a result, it was possible to analyze the risk factors and number of pedestrian safety, and even factors that were not known in the existing method could be derived. In addition, the traffic accident risk index was derived by converting data into one year to verify whether second hand mobile phone up-cycling mobile CCTV will be an objective tool for finding pedestrian risk factors. Up-cycling mobile CCTV of second hand mobile phones newly applied through research can be used as a new tool to find pedestrian risk factors, and it can be used as a service to protect the safety of the traffic vulnerable other than pedestrians.

• Journal of Korean Society of Transportation
• /
• v.27 no.3
• /
• pp.161-168
• /
• 2009

The ubiquitous transportation system environments make it possible to collect each vehicle's position and velocity data and to perform more sophisticated traffic flow management at individual vehicle or platoon level through V2V and V2I communication. It is necessary to develop a new traffic management paradigm to take advantage of the ubiquitous transportation system environments. This paper proposed a preventive congestion management algorithm for uninterrupted flow, whose goal is to minimize the incident potential and maximize the productivity by maintaining traffic flow stability. The algorithm includes the following steps: Processing the raw data to produce the 3-dimension speed/flow/density profile and to produce the platoon profile and the shock wave profile, Determining the traffic state and the flow stability based on the processed data, Deciding the desirable speed the according the traffic flow state, and finally Providing the desirable speed information. It remains as further work to perform field experiments and calibrate the algorithm parameters.