• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.13 no.3
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• pp.78-88
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• 2014

Now, UTIS collects and provides traffic information by building RSE 1,150(unit) and OBE about 51,000(vehicle). it's inevitable to enlarge traffic information sources which use to improve quality of UTIS traffic information for Stabilizing UTIS's service. but there are missing data sections. And, In this study as a way to overcome these problems, based on BIS(Bus information system) installed and operating in the capital area to develop normal vehicle's link transit time estimation model which is used realtime collecting BMS data, we'll utilize the model to provide missing data section's information. For these problem, we selected partial section of suwon-city, anyang-city followed by drive only way or not and conducted model estimating and verification each of BMS data and UTIS traffic information. Consequently, Case2,4,6,8 presented highly credibility between UTIS communication data and estimated value but In the Case 3,5 we determined to replace communication data of UTIS' missing data section too hard for large error. So we need to apply high credibility model formula adjusting road managing condition and the situation of object section.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.13 no.3
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• pp.66-77
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• 2014

UTIS(Urban Traffic Information System) directly collects link travel time in urban area by using probe vehicles. Therefore it can estimate more accurate link travel speed compared to other traffic detection systems. However, UTIS includes some missing data caused by the lack of probe vehicles and RSEs on road network, system failures, and other factors. In this study, we suggest a new model, based on k-NN algorithm, for imputing missing data to provide more accurate travel time information. New imputation model is an adaptive k-NN which can flexibly adjust the number of nearest neighbors(NN) depending on the distribution of candidate objects. The evaluation result indicates that the new model successfully imputed missing speed data and significantly reduced the imputation error as compared with other models(ARIMA and etc). We have a plan to use the new imputation model improving traffic information service by applying UTIS Central Traffic Information Center.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.11 no.6
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• pp.111-122
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• 2012

There has been a strong demand for providing diverse services to drivers utilizing existing ITS infrastructure. To this end, this study is aiming at improving the accuracy of a variable speed limit system by determining recommended speeds for the system utilizing the information from Urban Traffic Information System(UTIS) and Weather Information System(WIS). In order to determine appropriate speed limits under inclement weather conditions for the variable speed limit system, this study examined three methods: i) the method utilizing the information from WIS, ii) the method utilizing the information from UTIS, and iii) the method which combines the information from WIS and UTIS using different weights for diverse weather conditions. Finally, this study selected the third method which determines an appropriate speed limit using the relationship between the vehicle operating speed and the minimum stopping distance which is estimated using the existing speed limit, surface coefficient of friction and superelevation.

• Journal of the Korea Society of Computer and Information
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• v.16 no.1
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• pp.183-189
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• 2011

This paper suggests a user based OST(Open Street Traffic) system that solves TPEG's one-way communication problem, UTIS's limited usage and DSRC's small traffic bandwidth. In current commercial TPEG service, only some service providers collect traffic information. Thus, it can't cover traffic status in local lanes And UTIS, which local governments and police supports, requires additional equipments. Currently, only taxi and official vehicles use this system. Therefore, new traffic service by mobile device and user's participation can provide very detail traffic information coupling with previous traffic systems. But in this new system, real-time high volume data can be a problem. So, in this paper, new data storage manager design(TDSM :Traffic Data Storage Manager) is suggested and its performance is measured against commercial DBMS.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.7 no.4
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• pp.107-117
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• 2008

OBE(On Board Equipment) of IR(Infrared)/RF(Radio Frequence)-DSRC(Dedicated Short Range Communication) are set up 1.25 million cars because Korea Highway Cooperation supplied in HiPass(Domestic Electronic Toll Collection System). But this DSRC system has strength and weakness of service for BIS(Bus Information System) or UTIS(Urban Traffic Information System) because BIS and UTIS are required vary high communication's performance and management. In this paper, Efficiency of IR/RF-DSRC is analyzed performance of MAC(Medium Access Control) by computer simulation for services of BIS or UTIS, so Suggested to be commensurated with medium of there service. Specially, DSRC is needed high mobility and throughput in the vary short communication range, so Analysed the transmission rate of data in each communication medium over the specific character of the MAC frame.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06d
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• pp.316-318
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• 2006

본 논문에서는 차세대 지능형 교통시스템인 UTIS(Urban Traffic Information System)의 빠른 접속 요구 조건을 만족하기 위한 DLC(Dynamic Limited Contention) 알고리즘을 제안한다. UTIS 네트워크는 고속으로 이동하는 차량에 설치된 모바일 노드와 도로 변에 설치된 노변 기지국으로 구성되며, 이 네트워크를 통해서 IP 데이터 그램의 전송 서비스, 방송 데이터를 실시간으로 전송하는 실시간 전송 서비스 그리고 차량의 위치를 계속적으로 알려 주는 위치 탐색 서비스를 지원한다. 이러한 전송 서비스를 지원하기 위해서 UTIS는 물리 계층과 MAC 계층으로 구성된다. 그러나 UTIS에서는 차량의 고속 이동으로 인해서 셀(cell)간의 핸드오프가 빈번히 발생하고 또한 위치 추적과 방송 서비스와 같은 실시간 전송 서비스를 지원해야 하기 때문에 기존의 802.11 MAC을 사용할 수 없다. 즉 UTIS에서의 빠른 등록 요구 조건을 충족시키기 위해 기존의 802.11에서 사용하는 경쟁(contention) 방식은 비효율적이다. 본 논문에서는 셀 내에 도착하는 노드 수에 따라 경쟁을 하는 그룹의 크기를 동적으로 조절하는 DLC 알고리즘을 제안한다. 기존의 UTIS에서는 그룹 크기를 정적으로 결정하고 모바일 노드는 자신의 주소에 이 정적 그룹 크기로 modulo하여 자신의 속한 그룹을 초기에 계산한다. 기지국이 접속해야하는 그룹을 폴링 메시지로 지정할 때 그 그룹에 속한 모바일 노드들만이 제한적으로 경쟁하게 된다. 이러한 정적인 그룹 크기는 셀 내에의 노드의 숫자와 그룹 크기의 분포를 고려하지 않는 방식으로 비효율적이다. 본 DLC 알고리즘에서는 전 폴링 주기 동안에 경쟁하는 노드의 빈도수를 계속적으로 추적하여 등록 시점에 경쟁하는 그룹의 개수를 동적으로 조절하게 된다. 이러한 방식은 UTIS와 같이 접속 시간이 제한적이고 접속하려는 노드 수가 빠르게 변화하는 환경 하에서 기존의 802.11 MAC 프로토콜과 정적인 그룹 크기 방식에 비해 효율적이다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.11 no.6
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• pp.40-48
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• 2012

In this paper, we suggests methods for determining optimal representative value and the optimal size of historical data for reliable travel speed prediction. To evaluate the performance of the proposed method in real world environments, we did field tests at four roadway links in Seoul on Tuesday and Sunday. According to the results of applying the methods to historical data of Central Traffic Information Center, the optimal representative value were analyzed to be average and weighted average. Second, it was analyzed that 2 months data is the optimal size of historical data used for travel speed prediction.

• Journal of the Korea Society of Computer and Information
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• v.15 no.2
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• pp.147-154
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• 2010

This paper suggests new route plan cost calculation and cost-effective route plan algorithm and architecture for the new city traffic information system when it is operated nationwide. New algorithm and architecture estimates cost with traffic speeds which is supported for all different lanes, stratifies logical layer which process different levels' traffic information with diverse traffic patterns and provides different traffic information in the few levels. Also suggested new algorithm supports drivers' customized traffic information through both-way communications and plans routes effectively based on the distance between drivers' start position and destination and different levels which start and end position located. It proposes additional research items and requirement for integration between different cities' traffic information system which the national police agency invested and led.