• 대한토목학회논문집
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• 제29권6D호
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• pp.685-691
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• 2009

본 연구는 다양한 기상 요인의 영향 정도에 따른 속도 변화를 분석하여 고속도로의 교통상황 분류를 목적으로 하였다. 서해대교의 RWIS와 VDS 자료를 활용하여 요인분석한 결과 교통상황에 영향을 주는 기상요인은 날씨, 온도, 시정거리로 나타났다. 각 요인에 따른 교통상황을 분류하기 위해 요인별로 분산분석을 실시한 결과 날씨는 맑음과 강우, 온도는 $5^{\circ}C$ 이하와 이상, 시정거리는 강우 시에만 10km 이하와 이상으로 분류되어 총 5개 유형의 교통상황으로 분류되었다. 보다 원활한 교통관리를 위해 각 상황별로 교통량-속도 모형을 추정하였으나 분석자료의 부족으로 설명력은 다소 낮게 나타났다. 그러나 장기간의 자료를 본 연구에서 제시된 분석과정에 입각하여 분석할 경우 기상요인에 따른 유형별 교통관리가 가능할 것으로 기대된다.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2005년도 추계학술대회 학술발표 논문집 제15권 제2호
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• pp.471-474
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• 2005

객관적이고, 과학적인 수사를 위해, 교통사고는 공정한 기록에 의해서, 컴퓨터 모의실험, 및 학문, 그리고 충돌 사고 역동성, 도로 및 교통 공학으로 검증되어야 한다. 본 논문에서는, 교통사고, 과학, 객관적인 방법을 이용하여 진짜 교통사고 및 결과를 재현한다. 본 논문에서는 모의실험 결과 다음 같은 사항이 입증되었다. 습한 도로 조건에서 브레이크 작동시간이 건조한 도로 상태보다 더 긴 것이 입증되었다. 뿐만 아니라, 포장도로와 비포장 돌에서는 비포장도로의 제동시간이 포장도로의 제동시간 보다 짧다는 것이 입증되었다.

• 한국안전학회지
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• 제27권6호
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• pp.178-184
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• 2012

This study deals with the traffic accidents by weather condition. The objectives are to comparatively analyze the characteristics, and to develop the models of traffic accidents by weather condition. In pursuing the above, this paper gives particular attentions to testing the differences between two groups, and developing the models(Poisson and negative binomial regression) using the data of domestic circular intersections. The main results are as follows. First, three Poisson models and one negative binomial models which were all statistically significant were developed using the number of accident and EPDO by the clear weather and other as the dependant variables. Second, the differences between two models were comparatively analyzed using the chosen variables. This paper might be expected to give some implications to traffic safety policy-making to reduce and prevent the traffic accidents in circular intersections.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2000년도 제 25회 정기총회 및 추계학술발표회
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• pp.89-100
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• 2000

Recently, marine traffic engineering has been developed until that possible to estimate a change in traffic flow caused from some transformations of the traffic condition and to assess whether changed traffic condition is can be accepted as a useful thing in navigation or not by compute simulation. This paper's main substance is assessment of the present marine traffic safety at these area adjacent to Pusan harbor. Also in this study, it was carried out in order to be convinced of validity of round about TSS to expect changing in traffic flows by the institution of round about TSS and to assess expected traffic flows by using Environmental Stress assessment model.

• Smart Structures and Systems
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• 제17권6호
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• pp.995-1015
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• 2016

In the design and condition assessment of bridges, it is usually necessary to take into consideration the extreme conditions which are not expected to occur within a short time period and thus require an extrapolation from observations of limited duration. Long-term structural health monitoring (SHM) provides a rich database to evaluate the extreme conditions. This paper focuses on the extrapolation of extreme traffic load effects on bridges using long-term monitoring data of structural strain. The suspension Tsing Ma Bridge (TMB), which carries both highway and railway traffic and is instrumented with a long-term SHM system, is taken as a testbed for the present study. Two popular extreme value extrapolation methods: the block maxima approach and the peaks-over-threshold approach, are employed to extrapolate the extreme stresses induced by highway traffic and railway traffic, respectively. Characteristic values of the extreme stresses with a return period of 120 years (the design life of the bridge) obtained by the two methods are compared. It is found that the extrapolated extreme stresses are robust to the extrapolation technique. It may owe to the richness and good quality of the long-term strain data acquired. These characteristic extremes are also compared with the design values and found to be much smaller than the design values, indicating conservative design values of traffic loading and a safe traffic-loading condition of the bridge. The results of this study can be used as a reference for the design and condition assessment of similar bridges carrying heavy traffic, analogous to the TMB.

• Journal of Communications and Networks
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• 제11권4호
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• pp.375-383
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• 2009

The WiMedia alliance has specified a distributed medium access control (WiMedia MAC) protocol based on ultra wideband (UWB) for high data rate WPANs (HR-WPANs). The merits of WiMedia MAC such as distributed nature and high data rate make it a favorite candidate in HR-WPAN. Although QoS parameters such as the range of service rates are provided to a traffic stream, the WiMedia MAC is not able to use the QoS parameters and to determine or adjust a service rate using the QoS parameters for the traffic stream. In this paper, we propose a fair and adaptive resource allocation method that allocates time slots to isochronous streams according to QoS parameters and the current traffic load condition in a fully distributed manner. Although the traffic load condition changes, each device independently recognizes the changes and calculates fair and maximum allowable service rates for traffic streams. From the numerical and simulation results, it is proved that the proposed method achieves high capacity of traffic streams and fair QoS provisioning under various traffic load condition.

• 한국ITS학회 논문지
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• 제8권6호
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• pp.13-22
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• 2009

최근 톨게이트의 자동요금징수시스템 (ETC, Electronic Toll Collection System), 버스안내시스템, 주차관리 시스템 등 다양한 분야에서 근거리 무선통신 (DSRC, Dedicated Short Range Communication) 기술이 활용되고 있다. 본 논문에서는 이를 활용한 교통정보시스템을 설계하였다. 기존 차량감지기를 이용한 지점검지 기반의 교통정보시스템이 수집과 제공이 별도로 운영되는 시스템인 반면, 근거리무선통신을 이용한 구간검지 기반의 교통정보시스템은 기지국과 차량 단말기간 통신을 통하여 교통정보 수집 및 제공이 가능하다. 차량감지기가 지점정보를 구간교통정보로 가공하기 때문에 지점 통과속도가 구간평균속도로 변환되는 과정에서 혼잡 상황의 속도가 높게 나타난다. 소통상태가 악화되었을 경우, 차량감지기가 근거리 무선통신에 비해 통행속도가 높게 나타난다. 특히, 근거리 무선통신을 이용한 교통정보시스템의 통행속도의 데이터별 편차가 크게 감소하였고, 돌발상황 검지 및 교통상황을 신속하게 파악할 수 있는 것으로 분석되었다.

• International Journal of Computer Science & Network Security
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• 제23권8호
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• pp.95-100
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• 2023

Due to Traffic accidents people faces health and economical casualties around the world. As the population increases vehicles on road increase which leads to congestion in cities. Congestion can lead to increasing accident risks due to the expansion in transportation systems. Modern cities are adopting various technologies to minimize traffic accidents by predicting mathematically. Traffic accidents cause economical casualties and potential death. Therefore, to ensure people's safety, the concept of the smart city makes sense. In a smart city, traffic accident factors like road condition, light condition, weather condition etcetera are important to consider to predict traffic accident severity. Several machine learning models can significantly be employed to determine and predict traffic accident severity. This research paper illustrated the performance of a hybridized neural network and compared it with other machine learning models in order to measure the accuracy of predicting traffic accident severity. Dataset of city Leeds, UK is being used to train and test the model. Then the results are being compared with each other. Particle Swarm optimization with artificial neural network (PSO-ANN) gave promising results compared to other machine learning models like Random Forest, Naïve Bayes, Nearest Centroid, K Nearest Neighbor Classification. PSO- ANN model can be adopted in the transportation system to counter traffic accident issues. The nearest centroid model gave the lowest accuracy score whereas PSO-ANN gave the highest accuracy score. All the test results and findings obtained in our study can provide valuable information on reducing traffic accidents.

• 한국도로학회논문집
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• 제15권3호
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• pp.127-135
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• 2013

PURPOSES : The purpose of this study is development of automatic equipment to measure the road water-reservoir which can be one of factors for road traffic safety inspection and its application to safety analysis. METHODS : The scopes of this study are the examination of the riskiness and location of road water-reservoir through literature review, development of appropriate sensor and automatic equipment to survey the road water-reservoir and evaluation of field application. RESULTS: The laser lighting and IR camera were selected to develop the equipment. It was found from the field calibration that there is a high correlation between rutting and road water-reservoir and road water-reservoir caused by rutting can be correctly calculated. About 20.2km of national highway were inspected for case study and field application. It was found from correlation of traffic incident that 2.08km of the latent length for water-reservoir which is related to 12 traffic incidents were analyzed. CONCLUSIONS : This technique can be utilized evaluation method for road condition such as road water-reservoir for conventional evaluation system such as road traffic safety assessment and safety analysis and it can be use to new evaluation system to apply various road condition and traffic condition.

• 대한교통학회지
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• 제23권2호
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• pp.61-74
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• 2005

본 연구는 운전분노와 교통정체가 운전행동에 미치는 영향을 조사한 것이다. 운전분노란 운전 중 경험하는 분노로서 개인적 특질성향이다. 이 개인전 성향은 운전 중 도발적이고 도전적인 상황에 부딪혔을 때 난폭운전으로 표출된다. 그런데 운전분노는 다른 성격특질처럼 개인차가 있어서 운전분노 수준에 따라 교통상황에서 느끼는 분노의 정도는 차이가 나고, 이 차이는 난폭운전의 차이로 나타날 가능성이 높다. 본 연구에서는 차량 시뮬레이터인 RTSA-DS를 이용하여 세 가지 교통상황(소통원활, 주행차로정체 및 선행차량의 서행으로 인한 진행방해 상황)을 가상현실 교통상황으로 제시하고, 운전분노 수준에 따른 운전행동을 조사 비교하였다. 그 결과 운전분노 수준이 높은 운전자가 낮은 운전자에 비해 주행차로 정체상황에서 빠른 속도로 주행하였으며, 주행차로 정체상황에서 정체를 피하기 위해 차로변경을 시도하였고, 이 과정에서 충돌사고의 개입율이 높은 것으로 나타났다. 이 결과는 운전분노 수준이 높은 운전자가 정체상황에서 난폭운전과 위험운전을 감행한다는 이전의 연구결과와 일치한다. 그러나 운전 분노 수준이 높은 집단이 주로 20대 운전자로 구성되었고, 운전분노와 연령간의 상관이 높은 점을 감안할 때 본 연구의 결과 적용 시 주의가 필요하다.