• Journal of Information Technology Applications and Management
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• 제11권4호
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• pp.169-179
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• 2004

There are many inductive loop detectors under the highways in Korea. Among the other detectors, some are image detectors. Almost all image detectors are focused one or two lane of the road and are measuring traffic information. This paper proposes to an algorithm for detecting traffic information automatically from CCTV camera images installed on the highway. The information which is counted in one lane or two contains some critical errors by occlusion frequently in case of passing larger vehicles. In this paper, we use a tracking algorithm in which the detection area include all lanes, then the traffic informations are collected from the vehicles individually using difference images in this detection area. This tracking algorithm is better than lane by lane detecting algorithm. The experiment have been conducted two different real road scenes for 20 minutes. For the experiments, the images are provided with CCTV camera which was installed at Kiheung Interchange upstream of Kyongbu highway, and video recording images at Chungkye Tunnel. For image processing, images captured by frame-grabber board 30 frames per second, 640${\times}$480 pixels resolution and 256 gray-levels to reduce the total amount of data to be Interpreted.

• International Journal of Automotive Technology
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• 제8권4호
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• pp.513-520
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• 2007

In this paper, we propose an approach to identify the driving environment for intelligent highway vehicles by means of image processing and computer vision techniques. The proposed approach mainly consists of two consecutive computational steps. The first step is the lane marking detection, which is used to identify the location of the host vehicle and road geometry. In this step, related standard image processing techniques are adapted for lane-related information. In the second step, by using the output from the first step, a four-stage algorithm for vehicle detection is proposed to provide information on the relative position and speed between the host vehicle and each preceding vehicle. The proposed approach has been validated in several real-world scenarios. Herein, experimental results indicate low false alarm and low false dismissal and have demonstrated the robustness of the proposed detection approach.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 1996년도 봄 학술발표회 논문집
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• pp.216-224
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• 1996

Recently, Korea Highway Corporation has attemped to improve the highway safety in accordance with minimizing user's imconveniences. Currently, the Anti Skidding Pavement(ASP) has been introduced as a safety countermeasure on the safety frailty sections. In this study, a series of field evaluations on pavement skid resistance have been conducted on the skid frailty sections to analyze the effects and problems of the Anti Skidding Pavement (ASP), and to understand the behavior of pavement skid resistance due to pavement type, section characteristics, vehicles' speed and traffec volume. Test results show the Anti Skidding Pavement (ASP) has the effects to induce vehicles' speed reduction. However, there are no effects to increase skid resistance. According to these results, it is demanded to improve the applying method of current Anti Skidding Pavement (ASP) to devise an effective safety countermeasure for pavement skid, and to increase pavement skid resistance.

• 자동차안전학회지
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• 제11권3호
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• pp.7-12
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• 2019

AEB (Autonomous Emergency Braking system), a system in which vehicles automatically recognize forward objects or pedestrians and actively brake when forward collisions are expected, has been mandated by NHTSA (National Highway Traffic Safety Administration) and IIHS (Insurance Institute for Highway Safety) for all vehicles sell in the United States since 2022, and AEB research is also actively underway in korea. In this study, it can be confirmed that the passenger injury is reduced according to the AEB detection distance when it is assumed that the AEB is mounted in the actual event generated from KIDAS (Korea New Car Assessment Program) data through various analysis programs.

• International Journal of Internet, Broadcasting and Communication
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• 제16권1호
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• pp.63-71
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• 2024

Deep reinforcement learning (RL) significantly influences autonomous vehicle development by optimizing decision-making and adaptation to complex driving environments through simulation-based training. In deep RL, an activation function is used, and various activation functions have been proposed, but their performance varies greatly depending on the application environment. Therefore, finding the optimal activation function according to the environment is important for effective learning. In this paper, we analyzed nine commonly used activation functions for RL to compare and evaluate which activation function is most effective when using deep RL for autonomous vehicles to learn highway merging. To do this, we built a performance evaluation environment and compared the average reward of each activation function. The results showed that the highest reward was achieved using Mish, and the lowest using SELU. The difference in reward between the two activation functions was 10.3%.

• International journal of advanced smart convergence
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• 제8권4호
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• pp.179-187
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• 2019

Vehicular density is usually low in a highway environment. Consequently, connectivity of the vehicular ad hoc networks (VANETs) might be poor. We are investigating the problem of deploying the approximation optimal roadside units (RSUs) on the highway covered by VANETs, which employs VANETs to provide excellent connectivity. The goal is to estimate the minimal number of deployed RSUs to guarantee the connectivity probability of the VANET within a given threshold considering that RSUs are to be allocated equidistantly. We apply an approximation algorithm to distribute RSUs locations in the VANETs. Thereafter, performance of the proposed scheme is evaluated by calculating the connectivity probability of the VANET. The simulation results show that there is the threshold value M of implemented RSUs corresponding to each vehicular network with N vehicles. The connectivity probability increases slowly with the number of RSUs getting larger.

• Advances in environmental research
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• 제4권4호
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• pp.211-218
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• 2015

Traffic noise estimation models are useful in evaluation of the noise pollution in current circumstances. They are helpful tools for design and planning new roads and highways. Measurement of average traffic noise level is possible when traffic speed and volume are known. The objective of this study was to devise a model for prediction of highway traffic noise levels based on current traffic variables in Iran. The design of this model was to take the impact of traffic congestion into consideration and to be field tested. This study is a library research augmented by field study conducted on Saeedi Highway located south west of Tehran. The period for the field study lasted 5 days from 7-12 February, 2013. This study examined liner and non-liner methods in formulation of its model. Liner method without a fixed coefficient was the best fit for the intended model. The proposed model can serve as a decision making tool to estimate the impact of key influential factors on sound pressure levels in urban areas in Iran.

• 자동차안전학회지
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• 제7권2호
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• pp.50-54
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• 2015

Rollover accidents are a common occurrence on the highway ramp section. At highway ramp section, unexpected situations might occur due to demand on complex steering control unlike routine driving maneuver in the main streamline. Commercial vehicles have higher risk of rollover due to their high center of gravity. In this study, the lateral acceleration causing rollover would be found. In addition, sections would be classified as dangerous and safe ones by confirming the maximum lateral acceleration for various speed and curvature.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권12호
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• pp.5669-5684
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• 2018

The new mobile edge network architecture has been required for an increasing amount of traffic, quality requirements, advanced driver assistance system for autonomous driving and new cloud computing demands on highway. This article proposes a hierarchical cloud computing architecture to enhance performance by using adaptive data load distribution for buses that play the role of edge computing server. A vehicular dynamic cloud is based on wireless architecture including Wireless Local Area Network and Long Term Evolution Advanced communication is used for data transmission between moving buses and cars. The main advantages of the proposed architecture include both a reduction of data loading for top layer cloud server and effective data distribution on traffic jam highway where moving vehicles require video on demand (VOD) services from server. Through the description of real environment based on NS-2 network simulation, we conducted experiments to validate the proposed new architecture. Moreover, we show the feasibility and effectiveness for the connected car media service on highway.

• 한국강구조학회 논문집
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• 제22권3호
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• pp.209-218
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• 2010

장기간 동안 활하중의 반복재하로 인한 응력누적에 의해 발생하는 피로현상은 강교량의 내구수명을 지배하는 주요 인자중 하나이다. 본 논문은 차량 주행시 동적효과가 비교적 크게 일어나는 일반적인 중소규모의 플레이트 거더교를 대상으로 피로수명에 영향을 미치는 교통하중의 특성을 검토하였다. 검토결과, 피로수명은 시간교통량과 대형차 혼입율이 증가할수록 짧아지고, 교통하중특성의 영향을 받는다는 것을 알 수 있었다. 이러한 검토결과를 토대로 피로수명에 영향을 주는 교통하중의 특성을 대표할 수 있는 새로운 파라미터를 제시하고, 그 유용성을 확인하였다.