• 한국ITS학회:학술대회논문집
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• v.2007 no.10
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• pp.266-269
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• 2007

• 한국ITS학회:학술대회논문집
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• 2002.11a
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• pp.125-128
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• 2002

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.1
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• pp.157-165
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• 2017

Intelligent transportation systems are currently being developed for elemental technology development of cooperative intelligent transport systems, which enable vehicles to communicate with each other or reduce the risk of traffic accidents, We have been defining and standardizing services according to the purpose of solving traffic safety problems depending on countries. Therefore, in this study, the developed countries of V2X(vehicle-to-everything) based on USA, Europe, Japan, etc., analyzed the service cases selected in the field demonstration stage after completion of the element technology devanalyzed the service cases selected in the field demonstration stage after completion of the element technology development, and to suggest the direction of futureelopment, and to suggest the direction of future policy direction.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2001.12a
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• pp.99-102
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• 2001

It has well known that the congestion of traffic and it's distribution. There are very important problems in the traffic control systems. In this paper, we will purpose an ITFS(Intelligent Traffic Forecasting System) which can determine the car classes and transport them to ITS(Intelligent Traffic control System). The system will be used the Inductive Loop Detector(ILD)and the Fuzzy logic and shown the effectiveness by the computer simulation.

• 한국ITS학회:학술대회논문집
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• 2008.11a
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• pp.575-577
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• 2008

• 한국ITS학회:학술대회논문집
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• 2010.05a
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• pp.14-17
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• 2010

• 한국ITS학회:학술대회논문집
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• v.2007 no.10
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• pp.289-296
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• 2007

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.5
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• pp.38-48
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• 2017

Link attributes, such as speed, occupancy, and flow, are essential factors for transportation planning and operation. It is, therefore, one of the most important decision-making problems in intelligent transport system (ITS) to determine the optimal location of a sensor for collecting the information on link attributes. This paper aims to develop a model to determine the optimal location of a sensor to minimize the variability of traffic information on whole networks. To achieve this, a network sensor location model (NSLM) is developed to reflect discrete characteristics of data collection. The variability indices of traffic information are calculated based on the summation of diagonal elements of the variance-covariance matrix. To assess the applicability of the developed model, speed data collected from the dedicated short range communication (DSRC) systems were used in Daegu metropolitan area. The developed model in this study contributes to the enhancement of investment efficiency and the improvement of information accuracy in intelligent transport system (ITS).

• Journal of Korea Society of Industrial Information Systems
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• v.14 no.4
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• pp.205-212
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• 2009

Intelligent Transport Systems(ITS) has been currently growing attention in industry as hightech traffic system and ITS infrastructure has been built not only on expressway but also on national highways. Although the effect of ITS installation on national highways is not easy to measure with quantitative methodology, it is necessary to develop the quantitative method to verify the effect accurate analysis of ITS effect. In this study, the analysis of cost efficiency of ITS project carried out by Iksan Regional Constriction Management Administration(IRCMA) was conducted. Analysis period and discount rate were assumed as 10 years and 5.5%, respectively. Several measures of the effect including reduction of travel time, CO2 discharged and fuel and the value of Variable Message Sign(VMS) information were proposed. Concludingly, ITS project implemented by IRCMA appeared to be cost effective, indicating 1.20 of B/C ratio, 12.4% of IRR and W1.48 billion of NPV.

• Journal of Information Processing Systems
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• v.13 no.1
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• pp.184-195
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• 2017

In recent decades, the ad hoc network for vehicles has been a core network technology to provide comfort and security to drivers in vehicle environments. However, emerging applications and services require major changes in underlying network models and computing that require new road network planning. Meanwhile, blockchain widely known as one of the disruptive technologies has emerged in recent years, is experiencing rapid development and has the potential to revolutionize intelligent transport systems. Blockchain can be used to build an intelligent, secure, distributed and autonomous transport system. It allows better utilization of the infrastructure and resources of intelligent transport systems, particularly effective for crowdsourcing technology. In this paper, we proposes a vehicle network architecture based on blockchain in the smart city (Block-VN). Block-VN is a reliable and secure architecture that operates in a distributed way to build the new distributed transport management system. We are considering a new network system of vehicles, Block-VN, above them. In addition, we examine how the network of vehicles evolves with paradigms focused on networking and vehicular information. Finally, we discuss service scenarios and design principles for Block-VN.