• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.4
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• pp.97-113
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• 2023

Swift and appropriate responses in emergency situations like objects falling on the road can bring convenience to road users and effectively reduces secondary traffic accidents. In Korea, current intelligent transportation system (ITS)-based detection systems for emergency road situations mainly rely on loop detectors and CCTV cameras, which only capture road data within detection range of the equipment. Therefore, a new detection method is needed to identify emergency situations in spatially shaded areas that existing ITS detection systems cannot reach. In this study, we propose a ResNet-based algorithm that detects and classifies emergency situations from vehicle camera footage. We collected front-view driving videos recorded on Korean highways, labeling each video by defining the type of emergency, and training the proposed algorithm with the data.

• Proceedings of the Korea Society for Simulation Conference
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• 1999.10a
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• pp.108-113
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• 1999

본 논문은 Zeigler가 제안한 이산 사건 시스템 형식론(DEVS : Discrete Event System Specification)을 기반으로 미시적 교통류 시뮬레이션 시스템의 교통 흐름 분석에 대한 연구를 주목적으로 한다. 도로교통망 모델링 방법은 미시적(microscopic)방법과 거시적(macroscopic)방법으로 분류하는데, 미시적 모형은 개별차량의 행태를 바탕을 둔 모형으로 거시적 모형에 비해 설명력이 뛰어나다는 장점을 가지고 있지만 실제 교통상황에서 관측하고 검증하기가 어렵다는 단점을 갖고 있다. 따라서 본 논문에서는 신뢰성 있는 미시적 교통류 모형의 설계를 위해 DEVS 형식론을 기반으로 개별 차량에 대한 차량 추종 및 차로 변경 모형을 모델링하고 이를 근거로 교통류 시뮬레이션 시스템의 교통흐름 분석을 한다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.10 no.6
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• pp.40-52
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• 2011

This paper develops a traffic condition decision algorithm to improve the reliability of traffic information on urban streets. This research is reestablished the criteria of qualitative traffic condition categorization and proposed a new qualitative traffic condition decision types and decision measures. The developed algorithm can be classified into 9 types for qualitative traffic condition in consideration of historical time series of speed changes and traffic patterns. The performance of the algorithm is verified through individual matching analysis using the radar detector data in Ansan city. The results of this paper is expected to help promotion of the traffic information processing system, real-time traffic flow monitoring and management, use of historical traffic information, etc.

• Proceedings of the ESK Conference
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• 1997.10a
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• pp.226-236
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• 1997

교통사고의 주요 원인은 운전자의 부주의에서 유발되며운전자의 부주의는 운전환경에 대한 인 식의 결핍에서 유발되어진다. 따라서 교통환경에 대한 정보제공을 위하여 정량적 분석과 위험지 수의 제시가 필요된다. 본 연구는 위험지수 산출을 위한 시험작이라 할 수 있다. 위험지수를 산출하는데 필요한 기본적 자료수집과 분석과정을 보여주었으며, 위험지수 산출로직의 기초를 만드는데 주력하였다. 또한 그 응용에 대한 비젼을 제시를 하였다. 교통환경의 정량적 분석을 위하여 교통환경을 요인별로 나누어 요인분석법을 이용하였으며 분석 패키지로는 SAS 프로그램을 활용하였다. 위험지수는 요인 및 수준별로 분류한 후 각 분류에 따른 가중치에 의해서 주어지며 위험지수는 수치와 문자 및 막대그래프에 의해 표현하였다. 본 연구의 결과로 운전자에게 정량적 정보의 제공으로 운전상황에 대한 좀더 명확한 인식을 심어주고 또한 경각심을 고취시켜 안전운행 에 도움이 되도록 하였다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.12 no.4
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• pp.44-55
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• 2013

Intelligent transportation systems allow us to have valuable opportunities for collecting reliable wide-area coverage traffic and weather data. Significant efforts have been made in many countries to apply these data. This study identifies the critical points for classifying rain intensity by analyzing the relationship between rainfall and the amount of speed reduction. Then, traffic prediction performance by rain intensity level is evaluated using relative errors. The results show that critical points are 0.4mm/5min and 0.8mm/5min for classifying rain intensity (slight, moderate, and heavy rain). The best prediction performance is observable when previous five-block speed data is used as inputs under normal weather conditions. On the other hand, previous two or three-block speed data is used as inputs under rainy weather conditions. The outcomes of this study support the development of more reliable traffic information for providing advanced traffic information service.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.289-292
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• 2022

본 논문에서는 실제 철도 건널목(교차로)에서 발생하는 소음 및 진동, 차량 및 보행자 사고와 같은 위험 요소로부터 발생하는 위험 상황들을 분류하고, 철도 건널목(교차로) 운행 상황을 구현한 모형 철도 주변에 센서를 부착하여 철도 건널목에서 발생하는 위험 요소들을 아두이노 센서로 감지해 데이터를 수집한다. 또한 수집된 데이터들을 활용하여 사용자의 상황에 맞는 철도데이터 운영시스템을 제안한다.

• Journal of the Korea Society of Computer and Information
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• v.14 no.11
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• pp.159-167
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• 2009

The vehicles play a significant role in modern people's life as economy grows. The development of car navigation system(CNS) provides various convenience because it shows the driver where they are and how to get to the destination from the point of source. However, the existing map-based CNS does not consider any environments such as traffic congestion. Given the same starting point and destination, the system always provides the same route and the required time. This paper proposes a path planning method with traffic prediction by applying historical driving information to the Fuzzy theory and Bayesian update. Fuzzy theory classifies the historical driving information into groups of leaving time and speed rate, and the traffic condition of each time zone is calculated by Bayesian update. An ellipse area including starting and destination points is restricted in order to reduce the calculation time. The accuracy and practicality of the proposed scheme are verified by several experiments and comparisons with real navigation.

• Journal of Korean Society of Transportation
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• v.26 no.4
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• pp.111-121
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• 2008

Using variable speed limits (VSL) is a key strategy for preventing traffic accidents and alleviating traffic congestion. This study proposes an algorithm to operate VSLs on freeways for traffic safety. The proposed algorithm consists of two components based on accident likelihood estimation and analysis of safe stopping distance under various environmental conditions. A binary logistic regression technique is used for estimating accident likelihood. It is expected that the proposed algorithm would be successfully applied in practice in support of an integrated traffic and environmental condition monitoring system. Technical issues associated with the field implementation are also discussed.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.2
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• pp.23-29
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• 2014

The advanced traffic management system of intelligent transport systems automates the related traffic tasks such as vehicle speed, traffic volume and traffic incidents through the improved infrastructures like high definition cameras, high-performance radar sensors. For the safety of road users, especially, the automated incident detection and secondary accident prevention system is required. Normally, CCTV based image object detection and radar based object detection is used in this system. In this paper, we proposed the algorithm for real time highway incident detection system using multi surveillance cameras to mosaic video and track accurately the moving object that taken from different angles by background modeling. We confirmed through experiments that the video detection can supplement the short-range shaded area and the long-range detection limit of radar. In addition, the video detection has better classification features in daytime detection excluding the bad weather condition.

• Journal of Korean Society of Transportation
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• v.25 no.6
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• pp.171-183
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• 2007

Urban transport demand is derived from activity participation. A variety of individual daily activities based on the decisions on activity participation result in collective spatial behavior. The travel derived from the effort to overcome the spatially distributed locations of adjacent activities represents the detailed structural relationships among activities. An activity-based approach provides an important framework of analyzing contemporary urban daily life in the sense that it studies the interaction between individuals' daily decision making and social practice in time and space, on the one hand, and socio-spatial environment on the other. The current study identifies representative patterns of urban daily activity implementations and analyzes the correlation between representative patterns and individuals' characteristics and contextual characteristics. The study shows that urban daily activity patterns can be grouped in a limited number of representative patterns, which are systematically correlated with socio-spatial characteristics. The results provide related transportation policy implications.