• Smart Structures and Systems
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• v.19 no.2
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• pp.151-161
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• 2017

A new method is developed to estimate road profile in order to estimate IRI based on the ASTM standard. This method utilizes an accelerometer and a Dynamic Tire Pressure Sensor (DTPS) to estimate road roughness. The accelerometer measures the vertical axle acceleration. The DTPS, which is mounted on the tire's valve stem, measures dynamic pressure inside the tire while driving. Calibrated transfer functions are used to estimate road profile using the signals from the two sensors. A field test was conducted on roads with different quality conditions in the city of Brockton, MA. The IRI values estimated with this new method match the actual road conditions measured with Pavement Condition Index (PCI) based on the ASTM standard, images taken from an onboard camera and passengers' perceptions. IRI has negative correlation with PCI in general since they have overlapping features. Compared to the current method of IRI measurement, the advantage of this method is that a) the cost is reduced; b) more space is saved; c) more time is saved; and d) mounting the two sensors are universally compatible to most cars and vans. Therefore, this method has the potential to provide continuous and global monitoring the health of roadways.

• Journal of Korean Society of Transportation
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• v.9 no.2
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• pp.101-120
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• 1991

The Subject of this research work is to study the driver's vision and eye-movement ch-aracteristics under the diffrent condiction of road traffic and driving. The analysis of this investigation was conducted spatially or temporaly into three parts'eye-mark distribution, viewing-time percentage and fixation duration. This dissertation focuses on analysis of dr-iver's visual characteristics to improve road circumstamces. In this study driver's ch-aracteristics are measured with eye-mark recorder and analyzed statistically The main features of this study are : 1st Duration distribution of fixation point is significant in 87% at 5% of the significant level in Gamma Distribution. The average of fixation duration by road are 0.33sec on streets 0.45sec on Roads and 0.86sec on highways. The average of fixation duration by visual objects are 0.4sec on road surface 0.26sec on road shoulder 0.49sec on traffic sign 0.37sec on warning sign and 0.67sex on gwide sign. 2st Moving anglrs of a fixation point are fit in the Exponential Distribution. The average moving angle is appeared to be 3.85。 on streets 2.81。 on roads 2.73。 on highway and 5 。 on intersecyion. 3st As a result of examining alignment of guide and warning sign in traffic signs cxisting foundation methods are less affected by lane than by apeed of a vehicle.

• Korean Journal of Remote Sensing
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• v.19 no.5
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• pp.393-402
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• 2003

In times of the civil uses of commercialized high-resolution satellite imagery, applications of remote sensing have been widely extended to the new fields or the problem solving beyond traditional application domains. Transportation application of this sensor data, related to the automatic or semiautomatic road extraction, is regarded as one of the important issues in uses of remote sensing imagery. Related to these trends, this study focuses on automatic road extraction using Gradient Direction Profile Algorithm (GDPA) scheme, with IKONOS panchromatic imagery having 1 meter resolution. For this, the GDPA scheme and its main modules were reviewed with processing steps and implemented as a prototype software. Using the extracted bi-level image and ground truth coming from actual GIS layer, overall accuracy evaluation and ranking error-assessment were performed. As the processed results, road information can be automatically extracted; by the way, it is pointed out that some user-defined variables should be carefully determined in using high-resolution satellite imagery in the dense or low contrast areas. While, the GDPA method needs additional processing, because direct results using this method do not produce high overall accuracy or ranking value. The main advantage of the GDPA scheme on road features extraction can be noted as its performance and further applicability. This experiment study can be extended into practical application fields related to remote sensing.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 1993.10a
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• pp.239-245
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• 1993

Xinjiang locates on the Middle Eurasia. Droaght features Xinjiang's climate , especially during the spring sowing season. Therefore, efficiency irrigation system is indispensable to Xinjiang farming. Furrow orborder irrigation system has replaced flooding irrigation. In farmland , new irrigation methods have been developed and introduced to more fields. This article introduce tow sowing machines for new irrigation methods. (1) Furrow or border grain drill : (2) On-firm irrigation drill.

• Journal of Korean Society of Transportation
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• v.24 no.4 s.90
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• pp.31-42
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• 2006

The purpose of this study is to compare the effectiveness of road safety features by spatial scope Spot & Section-based safety Improvement project. Empirical data was collected from black-spot study of Jeonbuk and "Traffic Safety Improvement Project on National Highway 17". Evaluation model of effectiveness was developed by using Empirical Bayes (EB) method. And Relative Effectiveness was measured by Odds Ratio. The result indicates that Section-based safety improvement was $7.09{\sim}77.27%$ more effective than the spot-based. It means that section-based improvement projects should be expanded while considering the characteristics of the section in spot based improvement.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.4
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• pp.201-208
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• 2015

This paper proposes a method for detecting the direction indicator shown in the road surface efficiently from the black box system installed on the vehicle. In the proposed method, the direction indicators are detected by inverse perspective mapping(IPM) and bag of visual features(BOF)-based NN classifier. In order to apply the proposed method to real-time environments, the candidated regions of direction indicator in an image only performs IPM, and BOF-based NN is used for the classification of feature information from direction indicators. The results of applying the proposed method to the road surface direction indicators detection and recognition, the detection accuracy was presented at least about 89%, and the method presents a relatively high detection rate in the various road conditions. Thus it can be seen that the proposed method is applied to safe driving support systems available.

• 한국지형공간정보학회:학술대회논문집
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• 2004.10a
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• pp.25-31
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• 2004

To obtain the 3-D coordinates of the urban roads from aerial images, the accurate matching technique in road areas is required. In this paper, we suggest the relational matching method that is performed by comparison of relationships of road pavement markings after they are extracted from aerial images using geometric properties and spatial relationships of the pavement markings. Relational matching requires not only high level description of features but also the solution for inexact matching problems. In addition, it needs a lot of tests for the reliable final result. In this research, we described features as calculating geometric properties of the pavement markings, suggested the solution for inextact matching problems, and performed tests to decide whether the result is acceptable or not, which use the property that road areas are flat. In order to evaluate the accuracy of matching, we made a visual evaluation and compared the result of this technique with those measured by analytical photogrammetry.

• Acta Via Serica
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• v.2 no.1
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• pp.31-47
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• 2017

The corridors to the north and south of the $Takl{\bar{a}}m{\bar{a}}k{\bar{a}}n$ (塔克拉瑪干 Ta-ke-la-ma-gan) Desert are the most important regions for cultural confluence on the Silk Road, where caravans made it to the Chinese capital or the Korean Peninsula by the northern road, through the city of Turfan, or the southern path of Khutan. Being an important part of the Silk Road in the course of history, this region was heavily influenced by the cultures of various nations and ethnic communities whose merchants utilized the road to advance their business. The region's language, writing system and literary structure were also affected, so much so that in the course of its tumultuous history, many words, phrases and terms belonging to neighboring cultures found their way into the region, leaving their mark on its linguistic structure. Of the cultural exchanges that took place between the peoples of the region, conspicuous traces can be seen in the architecture, music, literature, texts, and inscriptions. Located in the Turfan region, the minaret of Su Gong (蘇公 Su Gong ) is host to an inscription which bears many signs of such exchanges. As so far no independent research has been conducted to identify the cultural, literary and structural features conveyed in this inscription, the present paper is an attempt to study the inscription in terms of the script, language and syntax in order to unravel the effects of cultures prevalent on the Silk Road on this particular inscription. This study mainly aims to investigate the linguistic structure of the inscription and the impact of the Persian language on Silk Road culture. In fact, we approach the inscription as a symbol of cultural exchange on the Silk Road and will focus on the tradition of Persian inscription-making which affected the Turfan inscription.

• Journal of Institute of Control, Robotics and Systems
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• v.21 no.2
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• pp.130-136
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• 2015

In this paper, we propose a robust curved lane marking detection method. Several lane detection methods have been proposed, however most of them have considered only straight lanes. Compared to the number of straight lane detection researches, less number of curved-lane detection researches has been investigated. This paper proposes a new curved lane detection and tracking method which is robust to various illumination conditions. First, the proposed methods detect straight lanes using a robust road feature image. Using the geometric relation between a vehicle camera and the road plane, several circle models are generated, which are later projected as curved lane models on the camera images. On the top of the detected straight lanes, the curved lane models are superimposed to match with the road feature image. Then, each curve model is voted based on the distribution of road features. Finally, the curve model with highest votes is selected as the true curve model. The performance and efficiency of the proposed algorithm are shown in experimental results.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.1
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• pp.143-148
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• 2008

This Study is about driving simulation after road design by 3D-GIS in digital elevation model from digital aerial photogrammetry. For designing roads efficiently it's very important to consider geographical features before design when analyze the view. Nevertheless, existing studies is mainly restricted in the mountainous, despite of using digital map or aerial photogrammetry and the study which used aerial photo in the area where the road designing is made really is not get executed. Therefore, this study will do 3D-road design and driving simulation by appling really road design data to topography, on the basis of digital elevation generated from aerial photogrammetry.