• Journal of Advanced Navigation Technology
• /
• v.14 no.2
• /
• pp.151-160
• /
• 2010

For the realization of future intelligent transportation systems, fine-grained lane-by-lane traffic monitoring and control functionalities are among the most important technology barriers to overcome. To satisfy the accuracy requirement for traffic monitoring, a GNSS receiver network is designed. The designed receiver network consists of three different types of entities; reference server, broadcaster, and client. For deployment flexibility, all the entities utilize the international message standard RTCM SC-104 version 3.0. For fine-grained traffic monitoring, the client is designed to utilize position-domain carrier-smoothed-code filters to provide accurate vehicle coordinates in spite of frequent addages and outages of visible satellites. An experiment result is presented to evaluate the positioning accuracy of the proposed method.

• Journal of Korean Society of Transportation
• /
• v.16 no.2
• /
• pp.197-207
• /
• 1998

지능형교통체계(ITS)환경 하에서 요구되는 정보서비스의 기본적인 형태는 통행속도, 지체정도, 통행시간등으로 대별 되어질 수 있다. 그 중 통행시간의 기본적 요소로서 링크통행시간을 산출하기 위한 제반 기법을 소개하였고, 특히 GPS를 이용한 링크통행시간 산정기법을 본 고에서는 제시하였다. 현재 GPS를 장착한 차량이 고유의 목적 (예를 들면, 위치파악 및 배차등의 목적으로)을 위해서 점차 늘어나고 있는 추세인 만큼 (개인택시조합등) 이러한 자원을 부수적으로 이용할 수 없는지에 대한 활용방안의 여부가 논문을 작성하는 계기가 되었다. 이를 위해서 본 고에서는 구체적으로 GPS 원시테이터, 수치도로지도 (GIS포함) 및 무선데이터망을 이용하여 링크 통행시간을 산출하는 기법이 이를 위해서 본 고에서는 구체적으로 제시되었으며, 이들을 통한 교통정보의 수집 가능성을 제안하였다. 중간 결과로서 실제 가로주행조사를 통해서 얻어진 링크통행시간과 본 연구에서 게시된 GPS를 통해 얻어진 링크통행시간과 비교해 보면 오창의 범위가 10%내외로서 판명되어 그나마 동적교통정보 수집조건이 열악한 우리실정에 큰 자원이 될 수 있다는 확신을 얻을 수 ? 있었다. 한편, 본 연구에서 수행되지 못하였으나 추가연구로서 반드시 수행되었으면 하는 몇가지의 항목이 결론부에 함께 제시되었다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• v.9 no.2
• /
• pp.223-226
• /
• 2005

본 논문에서는 지능형 교통망 시스템 서비스에 사용하는 5.8GHz 대역에서 OFDM을 이용한 단거리 전용 통신 시스템의 성능을 분석하였다. 현재의 DSRC 시스템은 1Mbps 이상의 데이터 서비스가 어려울 것으로 예상되므로 개선도니 변복조방식이 요구된다. OFDM(orthogonal frequency division multiplexing) 방식은 보호구간의 삽입을 통하여 ISI를 방지할 수 있으므로 고속 데이터 전송에 적합하다. 따라서, 본 논문에서는 데이터 변조 방식으로는 IEEE 802.11a에 근거한 부 반송파의 수가 64개인 QPSK변조 방식을 사용하는 OFDM 시스템을 모델링 하고, 도플러 천이 효과를 고려한 Clark & Gans 페이딩 환경에서 성능을 분석하였다. 또한 페이딩 환경에서는 성능의 열화 정도가 크기 때문에 이를 극복하기 위해 채널 예측기를 사용하여 채널 응답을 근사적으로 예측${\cdot}$보상하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2006.05a
• /
• pp.145-148
• /
• 2006

본 논문에서는 지능형 교통망 시스템 서비스에 사용되는 5.8GHz 대역에서 OFDM을 이용한 단거리 전용 통신 시스템을 제안하고 제안 시스템의 성능을 평가하고 이를 분석하였다. 무선 다중경로 채널에서 데이터를 고속으로 전송할 경우, 신호는 페이딩, ISI(inter-symbol interference) 등의 영향으로 높은 에러율을 가지게 된다. OFDM 방식은 보호구간을 사용해 채널의 ISI를 제거하므로 일반적으로 등화가가 필요 없으나, OFDM 각 심볼 주기마다 보호구간의 사용은 채널 사용 면에서 매우 비효율적이 된다. 따라서 채널의 지연화산이 커질 경우, 보호구간만으로는 ISI를 완전히 제거할 수 없으며, 성능 개선을 위하여 등화기가 필요하게 된다. 본 논문에서 제안된 시스템에서는 ITS 권고 주파수 대역인 5.8GHz에서 국제 표준화 규격인 IEEE 802.11a 근거하여 OFDM 시스템을 모델링 하였으며, 단일 탭 등화기를 적용하여 제안 시스템을 시뮬레이터 기법에 의하여 성능을 비교 분석하였다.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
• /
• v.16 no.10 s.101
• /
• pp.1020-1027
• /
• 2005

In this paper, economic miniature RF transmitter module for intelligent transportation system(ITS) is described. This module which consists of ASK modulator, frequency synthesizer, power amplifier is operating at 5.8 GHz frequency band and implemented by using LTCC process technique. Thus, ultra small size of 0.8 CC and improved electrical performances has been obtained. From the test results, transmitting characteristics of 10 dBm ouput power and -46 dBc interchannel interference with 1.024 Mbps ASK modulated have been shown. Frequency synthesizer as a transmitting signal source reveals very short locking time of 26 usec and outstanding phase noise of -115 dBc/Hz at 1 MHz offset from 5.8 GHz center frequency.

• Journal of Advanced Navigation Technology
• /
• v.13 no.6
• /
• pp.933-942
• /
• 2009

In this paper, the WAVE technology for IT based on Intelligent Transport System(ITS) which using by IEEE 802.11a PHY, IEEE 802.11p MAC(Medium Access Control) and IEEE P1609.3 was implemented. The WAVE system was designed that has maximum 0.5km communication range for RSU(Road Side Equipment) between vehicle, 12Mbps transfer speed when downlink at maximum 120km/h vehicle speed. To verify suitableness of the WAVE system for ITS, we measured several parameters on the real road: communication range when low and high speed, link establishment time, data transfer speed, PER (Percent Error Rate), and latency. From the experiment results, we demonstrated that WAVE is a suitable technology for IT based on ITS.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.18 no.4
• /
• pp.44-57
• /
• 2019

Various studies have been conducted to solve traffic congestions in many metropolitan cities through accurate traffic flow prediction. Most studies are based on the assumption that past traffic patterns repeat in the future. Models based on such an assumption fall short in case irregular traffic patterns abruptly occur. Instead, the approaches such as predicting traffic pattern through big data analytics and artificial intelligence have emerged. Specifically, deep learning algorithms such as RNN have been prevalent for tackling the problems of predicting temporal traffic flow as a time series. However, these algorithms do not perform well in terms of long-term prediction. In this paper, we take into account various external factors that may affect the traffic flows. We model the correlation between the multi-dimensional context information with temporal traffic speed pattern using deep neural networks. Our model trained with the traffic data from TOPIS system by Seoul, Korea can predict traffic speed on a specific date with the accuracy reaching nearly 90%. We expect that the accuracy can be improved further by taking into account additional factors such as accidents and constructions for the prediction.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.18 no.4
• /
• pp.58-70
• /
• 2019

In the case of a pedestrian traffic accident, it has a large-scale danger directly connected by a fatal accident at the time of the accident. The domestic ITS is not used for intelligent risk classification because it is used only for collecting traffic information despite of the construction of good quality traffic infrastructure. The CNN based pedestrian detection classification model, which is a major component of the proposed system, is implemented on an embedded system assuming that it is installed and operated in a restricted environment. A new model was created by improving YOLO's artificial neural network, and the real-time detection speed result of average accuracy 86.29% and 21.1 fps was shown with 20,000 iterative learning. And we constructed a protocol interworking scenario and implementation of a system that can connect with the ITS. If a pedestrian accident prevention system connected with ITS will be implemented through this study, it will help to reduce the cost of constructing a new infrastructure and reduce the incidence of traffic accidents for pedestrians, and we can also reduce the cost for system monitoring.

• Journal of the Korea Society of Computer and Information
• /
• v.27 no.8
• /
• pp.69-75
• /
• 2022

In this paper, a method for predicting the speed for each lane from the link speed using an artificial neural network is presented to increase the accuracy of predicting the required time of a driving route. The time required for passing through a link is observed differently depending on the direction of going straight, turning right, or turning left at the intersection of the end of the link. Therefore, it is necessary to predict the speed according to the vehicle's traveling direction. Data required for learning and verification were constructed by refining the data measured at the Gongpyeong intersection of Gukchaebosang-ro in Daegu Metropolitan City and four adjacent intersections around it. Five neural network models were used. In addition, error analysis of the prediction was performed to select a neural network experimentally suitable for the research purpose. Experimental results showed that the error in the estimation of the time required for each lane decreased by 17.4% for the straight lane, 4.4% for the right-turn lane, and 3.9% for the left-turn lane. This experiment is the result of analyzing only one link. If the entire pathway is tested, the effect is expected to be greater.

• Journal of Advanced Navigation Technology
• /
• v.10 no.1
• /
• pp.7-12
• /
• 2006

In this paper, we investigated performance for 5.8GHz dedicated short range communication system using OFDM which will be applied to Intelligent transportation system services. The maximum speed of a vehicle in DSRC channel is very fast as 180km/h, so a service time is very short to serve a various traffic information if hand-off is not occurred. Therefore higher bit rate is required to proved advanced and intelligent service to the drivers of various vehicle and the data transmission rate of the next generation DSRC system if being promoted over 10Mbps. The signals received in Racian channel have been simulated using the computer simulator. For performance improvement, BCH coding scheme are adopted.