• International Journal of Highway Engineering
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• v.10 no.2
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• pp.135-143
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• 2008

According to the present highway design criteria, there are minimum standards which re ade from special design speeds. If some highways are satisfied the standards, it regards he highway as safety. In reality, however, most drivers drive a car at different speed compared with design speed. It is very dangerous for drivers especially at transition sections between curve and horizontal curve sections. Hence, this study calculated the rate of changing and horizontal acceleration at each section. Moreover, this study evaluated thesafety of design at curve transition sections and then calculated lateral acceleration and curve radii. This study found the minimum standards which are using as basic safety standards are not appropriate for measuring driver's safety.

• 한국방재학회:학술대회논문집
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• 2010.02a
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• pp.45.2-45.2
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• 2010

자동차 주행 시 엔진회전수가 1,500rpm 이상이고 주행속도가 50km/hr 이상의 조건에서 가속 페달을 밟지 않은 상태로 관성주행(타행주행)을 하면 연료분사량이 "0"이 되고 그에 따라 엔진 배출 $CO_2$ 배출량도 "0"이 된다. 본 연구에서는 고속도로 및 자동차 전용도로에서의 이러한 연료차단(퓨얼컷 fuel-cut) 주행 구간을 찾고 연료차단 기능을 활용하는 경우 그 효과를 평가하였다. 본 시험의 결과 퓨얼컷 주행을 활용하면 약 4~5% 정도의 $CO_2$ 배출량을 줄일 수 있음을 알 수 있었고, 감속의 정도를 도로 상황에 맞게 최적화하는 경우 감소율을 더욱 향상시킬 수 있을 것으로 판단된다. 추후 본 시험의 결과를 이용하여 도로 내리막 구간에서 연료소모량 및 $CO_2$ 배출량을 저감하면서도 과속으로 인한 사고를 예방하는 방안으로 활용할 수 있을 것으로 판단된다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.6
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• pp.147-161
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• 2021

The purpose of this study was to investigate the psychological state and driving safety of drivers driving around the truck platoon driving. Using the driving simulator, the experimental environment was constructed with the situation of changing lanes to the platoon and driving within the platoon. We tried to qualitatively and quantitatively analyze the driver's psychological state and driving safety through simulation driving experiments. As a result, in the case of the older driver group, there were many cases where they judged themselves to be driving safely, even though they were driving dangerously in the actual lane change to the platoon or driving within the platoon. In particular, this group showed that the narrower the distance between vehicles, the greater the misrecognition. The results of this study are expected to be useful in deriving the optimum interval when the interval between platooning of trucks needs to be temporarily extended.

• Journal of Korean Society of Transportation
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• v.22 no.7 s.78
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• pp.139-146
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• 2004

Road design should be conformed to the expectancy of drivers. The alignment such as long tangent followed by the sharp horizontal curve should be avoided for the road design consistency. Currently, operating speed profile model is generally used to check the consistency of the successive road alignments. In this model, the hypothesis about the drivers' behaviour on the long tangent followed by the sharp horizontal curve is also included. This study compares the hypothesized drivers' behaviour in the existing operating speed profile model with the actual drivers' behaviour observed at the two lane rural roads. In addition to this, comparison between the acceleration for the vehicles approaching and departing horizontal curves suggested by the foreign research and the value observed at this study was made, From this study, it was concluded that the hypothesis in the existing model was well representing the actual drivers' behaviour. The deceleration for vehicles approaching the horizontal curves was ranged $0.39{\sim}1.06m/s^2$ with the average of $0.66m/s^2$. The average acceleration for the vehicles departing horizontal curves was $0.22m/s^2$.

• Journal of Korea Multimedia Society
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• v.16 no.4
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• pp.430-443
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• 2013

The recognition of current position and road surrounding of car is very important to driver for safe driving. This paper presents the recognition technique of the road traveling environment using position information hiding and viewpoint transform that monitors the information of road furniture and signature and notifies them to driver. The proposed scheme generates the road images into which the position information are hided, from car camera and GPS module and provides the road information to driver through the viewpoint transformation and the road signature detection. The driving tests with camera and GPS module verified that the position information hiding takes about 66.5ms per frame, the detection rate of road signature is about 95.83%, and the road signature detection takes about 227.45ms per frame. Therefore, we know that the proposed scheme can recognize the road traveling environment on the road video with 15 frame rate.

• Journal of the Korean Association of Geographic Information Studies
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• v.26 no.4
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• pp.116-129
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• 2023

Recently, interest in autonomous driving has drawn attention to autonomous cooperative driving, which considers the development of driving technology of autonomous vehicles and the development of infrastructure that constitutes a driving environment. According to the concept of autonomous cooperative driving, This study analyzes the new infrastructure for autonomous driving that can complement the information of existing precise road maps and adding HD map layer as the new infrastructure. The new infrastructure for autonomous driving presented two types of improved facilities and one type of sensor only facility. Analysis of HD maps shows that information such as junction points rarely changes, but it is expected that infrastructure for autonomous driving can be added to convey the meaning of paying attention to obstacles that may arise at the junction. In this way, the new infrastructure for autonomous driving needs to support the roles of guidance, instruction, and attention that existing road facilities.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.6
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• pp.280-298
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• 2021

As the development automated vehicles(AV) actively progresses around the world, the demand for a reasonable and systematic evaluation method for AVs is increasing. Research on scenarios, evaluation procedures, and methods for evaluating AVs conducted in simulations and proving ground(PG) is actively conducted internationally. In contrast, methods and procedures for evaluations on real roads are still in their infancy internationally. Therefore, it is necessary to conduct research on evaluating AVs on real roads in preparation for future use of AVs. This study aims to define the basic direction for evaluating the driving safety of AVs on real roads. To this end, the evaluation direction and process of AVs were presented on the real roads, and qualitative and quantitative evaluation indicators were selected to evaluate driving safety. A total of 38 items were selected based on the Road Traffic Act as qualitative evaluation items for evaluating the driving safety of AVs on real roads.

• Electronics and Telecommunications Trends
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• v.32 no.4
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• pp.40-47
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• 2017

자율주행 맵은 도로의 주행환경 정보(차로, 도로 마크, 신호등의 위치 등)와 시간에 따라 변화하는 동적 주행환경 정보(장애물 출현, 일시적인 통행제한, 긴급한 도로 복구, 교차로 교통혼잡 등)로 구성된다. 자율주행 맵 생성 및 갱신 기술은 차로 구분선이나, 도로 교통과 관련된 실시간 갱신 주기 측면에서 더욱 세밀하고, 정확한 위치 정보가 요구되며, 또한, 최신성을 유지하는 기능을 가진다. 이러한 고정밀 지도의 세밀함과 정확성, 최신성은 자율주행 서비스를 위해 요구되는 필수적인 요소이다. 클라우드와 연계하여 생성되는 자율주행 맵은 차량 운행 시 수집되는 정보를 클라우드에 축적하여 가공함으로써, 시간과 인력 투입을 통해 데이터를 취득하고 지도를 구축하는 면에서 작업 품을 효과적으로 개선하는 데 도움이 된다. 유지와 보수 측면에서는 정기적으로 또는 신속하게 갱신하여 최신의 정보를 유지하는 장점이 있다. 본고에서는 자율주행 맵을 생성하고 갱신하는 클라우드 연계 플랫폼과 연구 결과 일부를 소개한다.

• Journal of the korean Society of Automotive Engineers
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• v.18 no.3
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• pp.55-63
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• 1996

자율주행 차량이란 목적지를 입력하면 운전자의 도움없이 자율적으로 주행환경을 인식하면서 주어진 목적지까지 안전하고 신속하게 스스로 주행할 수 있는 차량을 말한다. 차량이 자율주행을 하기 위한 가장 중요한 요소는 주행로의 경계를 인식하고 정확한 조향 각도를 구하는 일이다. 이의 잘못된 인식과 잘못된 계산은 차량으로 말미암아 많은 물적, 인적손실을 가져올 수 있다. 본 연구에서는 주위환경을 인식하는데 차량의 전방에 CCD 카메라를 부착하여, 이를 통해 얻어진 도로의 영상으로부터 도로 경계의 인식 방법과 핸들의 조향 각도를 계산하는 방법론을 제시하고자 한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2012.01a
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• pp.7-10
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• 2012

본 논문에서는 스마트폰을 이용하여 도로 주행 정보를 기록하고 운전자에게 패턴 별 주행정보를 제공하는 라이프로그(Lifelog) 형태의 서비스에 목적을 두고 있다. 운전자의 도로 주행 데이터를 데이터베이스화한 이 정보는 다양하게 이용될 수 있다. 주행 패턴 인식은 이벤트 구간 검출 과정을 통한 패턴 구간을 검출하고 가속도 센서와 방향 센서, 즉 멀티 센서 기반으로 주행패턴을 인식한다. 주행 패턴을 분석 후 시간 정보를 이용하여 촬영된 영상 데이터에서의 패턴 구간 영상을 같이 제공한다. 이렇게 패턴 구간의 센서 스트리밍 정보와 영상을 제공하면 운전자의 운전 성향 및 주행 기록을 분석하는데 이용될 수 있다. 따라서 주행패턴 인식 알고리즘을 프로토타입으로 제안한다.