• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.621-622
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• 2019

본 논문은 도심 환경하에서 운행 가능한 자율주행차량 시스템의 구현 방안에 대해 다루고 있다. 현대자동차가 주최한 2019 대학생 자율주행 경진대회는 도심 환경을 재현한 K-City 에서 열렸고, 도심 환경에서 발생할 수 있는 돌발 장애물 인지, 공사 구간 우회, 교차로 신호등 인지, 사고 차량 회피, 응급 차량에게 차선 양보 및 톨게이트 통과 등의 6 개의 미션을 자율주행차량이 무인운전으로 수행하는 것이었다. 이 대회를 위해 본 연구팀에서 개발한 자율주행 시스템은 리웍된 실제 차량에 탑재되어 대회장의 모든 주행 미션을 성공적으로 수행하였다.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.31 no.1
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• pp.13-21
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• 2021

Objectives: The purpose of this study was to evaluate the exposures of cashiers who work at expressway tollbooths. Methods: We measured temperature(temp.), relative humidity(RH), and contaminants with direct reading instruments at ten expressway toll gate in September 2015. Elemental carbon was collected on the quartz filters and analyzed with an OCEC analyzer. Results: The average levels for temp., RH, carbon monoxide, carbon dioxide, dust(PM10), and black carbon were respectively 24.6~27.8℃, 32.3~65.3%, 0.5~1.2 ppm, 456~559 ppm, 12~111 ㎍/㎥, and 3.1~10.1 ㎍/㎥ at each tollbooth. The concentrations of elemental carbon within the tollbooth(1.8~7.2 ㎍/㎥) were lower than outdoors(2.5~10.0 ㎍/㎥), but exhibited a high correlation(r2=0.855). The exposure levels for carbon monoxide, black carbon, and elemental carbon in the tollbooths were significantly higher than the offices. The concentrations of black carbon and elemental carbon showed a high correlation(r2=0.756). Conclusions: The levels of contaminants were below the occupational exposure limits in the expressway tollbooth. There were ventilation and air conditioning systems in the booths, but it is necessary to maintain and use the systems properly.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.04a
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• pp.615-618
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• 2010

본 논문은 900MHz 대역의 RFID를 이용하여 고속도로 자동 요금징수 시스템을 개발하고, 차량에 부착한 태그를 RFID 리더가 인식하는 효율을 높이기 위하여 최적의 태그부착위치와 안테나 설치위치에 대하여 연구하고 속도에 따른 인식률을 연구 하였다. 연구결과 RFID 리더의 높이는 170cm일 때 지표면과의 각도 $80^{\circ}$와 차량 진행 방향과 RFID 리더의 안테나 면과의 각도 $90^{\circ}$일 때 최적의 RFID 리더 설치 위치를 나타냈고, 태그의 위치는 차량 전면 유리 운전석 쪽 아래 모서리에서부터 가로 10cm와 세로 10cm에서 가장 좋게 나타났다. 차량과 RFID 리더간의 거리에 따른 차량의 속도별에 의한 인식률은 차량과 RFID 리더간의 수평 거리가 25cm 이하일 때 30km/h에서 80km/h까지 모든 경우에 100%의 인식률을 보임으로써 빠른 속도로 톨게이트를 통과하여도 충분히 인식할 수 있을 것으로 나타났다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.11 no.2
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• pp.171-179
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• 2011

In these days, various wireless internet services are possible since the advanced wireless networks enable to transfer more data than before and smarter devices have developed to display the multimedia information more efficiently. Therefore, Korean MIPS such as SKT and LGT provide many kinds of advanced services such as wireless on-line shopping, mobile banking system and etc using 2.5 generation wireless network technology and smartcards. In a transportation system, a cellular phone can be used as a useful payment tool since most people always keep it and a mobile payment system has developed as infrastructure for wireless on-line services. In this paper, a mobile transportation payment system is introduced. A driver needs to pay a toll fee when he/she uses the highways. Recently, a high pass system has introduced, in which a vehicle can pass a toll gate without stopping to pay the fee to a counter. The payment is done automatically by an attached payment device. We have developed an advanced mobile system in which a smartcard embedded cellular phone is used as a payment device. The personnel and financial information is stored at a smartcard and the communication between the phone and OBU(On Board Unit) is done by Bluetooth.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.2
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• pp.29-34
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• 2012

Nowadays, the problem of ETCS terminal in becoming popular gradually is that there is no services except for ETC. Therefore, we need new system that provide many type of additional services at one-terminal. In this paper, we study the additory function of ETCS terminal to afford many type of the vehicle administration beside collection and provider of traffic information. We descrived the method of Eco-driving function beside to save fuel signing instant and mean fuel-efficiency, measurement of section fuel-efficiency on OLED and then brings out the best driving habit in people and to prevent dangerous at the wheel as diagnosing engine oil, cooling water, fan belt, the point of changing consumables, diagnoses to an overheated engine, charges on generator through ECU. The multi-services terminal consist of the vehicle diagnosis module base on OBD-II and ETCS terminal.

• International Journal of Highway Engineering
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• v.9 no.1 s.31
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• pp.17-27
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• 2007

Since early 1990s, several developed countries have applied the Electronic Toll Collection System (ETCS) to toll roads in order to solve traffic congestion and delay problems at toll plazas. For the successful operation of the ETCS, it is important to correctly forecast the ETCS using rate. In this study, it was conceived to develop a sophisticated demand forecasting model of the ETCS for toll roads in Changwon City The Binary Logit and neural network models were tested for the model considering 11 explaining variables. The best results in prediction accuracy and goodness-of-fit were obtained on the neural network model. However, because of the difficulty in predicting the 11 variables and its fitness in wide range, the Binary Logit model which considers three policy variables only is recommended as the model to forecast the ETCS using rate.

• Journal of the Korea Convergence Society
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• v.11 no.6
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• pp.59-67
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• 2020

Expressway is the main link in promoting the national economic development, which plays a vital part in improving the regional economy and people's living standards, therefore, it is of great significance to accelerate the construction of expressways. However, because it is difficult for the existing system to identify the information of special vehicles quickly, leading to the cumbersome flow of special vehicles passing through the toll station of expressways [1], which brings a certain burden to the work of expressway administrators. The surge in the number of private cars also increased the traffic pressure of toll stations, especially the free expressways traffic policy implemented by the State during holidays, resulting in more frequent traffic jams at high-speed intersections. According to this situation, a intelligent system was created to ameliorate the difficult situation of special vehicle identification on expressways, reduce the congestion at high-speed intersections, and improve the efficiency of staff by data-based means.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.30 no.1
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• pp.10-17
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• 2020

Objectives: This study was performed to evaluate the total dust, size-selective dust, and heavy metal concentrations generated inside and outside toll booths on an expressway and to identify the source through analysis of the components of the deposited dust. Methods: A total of 32 samples were collected from eight expressway toll booths. Each total dust sample was collected using a 37 mm PVC filter attached to a personal air sampler. Heavy metal samples were collected according to NIOSH method 7300. The size-selective dust concentrations were identified using a DustMate, and deposited dust was analyzed by WD-XRF and UHR-FE-SEM. Results: The geometric mean concentrations of the total dust inside and outside the toll booths were 337.5 ㎍/㎥ and 342.7 ㎍/㎥, respectively. The overall concentrations of TSP, PM₁₀, PM_2.5, and PM1 were higher on the outside of the toll booths, as the particle size of dust was larger, and higher in the underground passage as the dust size was smaller. The real-time analysis of the dust concentrations of TSP, PM₁₀, PM_2.5, and PM1 revealed to be higher at morning and evening times than other times because of heavy traffic. The element components of deposited dust in the toll booth were related to natural sources rather than artificial sources. Among the chemical components in the deposited dust analyzed by WD-XRF, SiO₂ was the highest. For the elements analyzed by UHR-FE-SEM, C was the highest, followed by O, and Si. Conclusions: In order to reduce the dust concentrations around toll booths on an expressway, it is necessary to periodically clean surrounding areas such as underground passages, and it is also necessary to remove deposited dust inside the toll booth from time to time.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.8 no.6
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• pp.13-22
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• 2009

Recently, DSRC technology is used in the various fields such as parking system, BIS, ETC, etc. This paper suggests a traffic information system using this DSRC technology. The traffic information processing based on point detection using existing vehicle detection equipment is the system in which a collection and a service are operated separately while the traffic information system based on the link detection using DSRC is able to collect and provide the traffic information through the communication between RSE and OBU. The speed of a traffic congestion is high on the process converted from a point passing speed to a link average speed because the vehicle detection equipment makes the link traffic information into the point information. When the condition of traffic is deteriorated, traffic speed of the vehicle detection equipment becomes higher than DSRC. Especially, in this system, deflection by data of the traffic speed of the traffic information system is much decreased, and the unexpected condition detection and traffic condition are provided promptly.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.10a
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• pp.431-435
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• 2008

2006년 11월 이후 신 차량 번호판 등장 후, 신 차량 번호판과 구 차량 번호판이 혼합되어 있다. 이에 따라 속도위반, 신호위반 단속, 무인 주차관리 시스템, 범죄 및 도주 차량 검거, 고속도로 톨게이트에서 통행료 지불로 인한 교통 체증현상을 해소하기 위한 자동 요금 징수와 같은 다양한 경우에서 자동차 번호판의 특징에 맞는 인식 시스템이 요구되고 있다. 따라서 본 논문에서는 이러한 문제를 해결하기 위해 형태학적 특징 및 차 연산과 ART2 알고리즘을 이용한 차량 번호판 인식 방법을 제안한다. 무인 카메라에서 획득된 차량 번호판 영상에서 차 연산을 이용하여 에지를 추출한 후에 블록 이진화를 한다. 이진화 된 차량 영상에서 신 구 차량 번호판의 형태학적 특성을 8방향 윤곽선 추적 알고리즘에 적용하여 잡음 영역을 제거하고, 차량의 번호판 영역을 추출한다 추출된 번호판 영역에 대하여 평균 이진화와 최대 최소 이진화를 적용하여 번호판의 개별 영역에 대한 형태학적 특성을 고려하여 잡음을 제거하고, Labeling 알고리즘을 적용하여 개별 문자를 추출한 후에 결합한다. 이렇게 분류된 개별 문자 및 숫자 코드를 ART2 알고리즘에 적용하여 학습 및 인식을 한다. 제안된 차량 번호판 추출 및 인식 방법의 성능을 평가하기 위해 녹색 번호판과 흰색 번호판 이미지 각각 100장을 대상으로 실험한 결과, 제시 된 차량 번호판 추출 및 인식 방법이 실험을 통해서 효율적인 것을 확인하였다.