• Journal of Korean Society of Transportation
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• v.27 no.1
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• pp.191-200
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• 2009

This study develops composite indicators that is capable of estimating QOS (Quality of Service) of pedestrians by enhancing estimation for Level of Service in present transporting spaces for pedestrians that merely concerns quantitative indicators such as pedestrian flow rate, pedestrian stoppage. This paper conducts survey questionnaire to collect data. It utilizes AHP(Analytic Hierarchy Process) and ANP(Analytic Network Process). The main results show that: first, ANP is better analytic methods than AHP due to the fact that pedestrians feel repetition when they judge level of service. Second, qualitative factors such as pedestrian behaviors, maintenance, scenary for pedestrians and environments should be considered. Importance of qualitative factors is higher in residential area than other areas. I expect that using qualitative indicators and quantitative indicators is appropriate in order to estimate pedestrians' QOS.

• Proceedings of the KOR-KST Conference
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• 2007.02a
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• pp.306-314
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• 2007

This paper is to develop a model for evaluation of highway alignment design considering the driver's behavior in order to enhance the highway safety. Under the conditions, this research included a new evaluation criteria development and an analysis on how to change evaluation criteria according to roadway alignments, to evaluate safety. The vehicle spacing and speed deviation are suggested as new evaluation index The evaluation criteria model can be used to compare the anticipated safety performance of two or more geometric alternatives for a proposed highway improvement.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.8 no.2
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• pp.60-66
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• 2009

The acceleration noise is valuable index to monitor traffic stability. However, the previous study was performed for the acceleration noise of individual vehicle. The consideration of the acceleration noise for vehicle in the network has not been studied yet. This paper proposes a new macroscopic traffic flow monitoring method based on applying network acceleration noise.

• 한국ITS학회:학술대회논문집
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• v.2007 no.10
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• pp.42-50
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• 2007

• Transportation Technology and Policy
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• v.10 no.2
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• pp.81-91
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• 2013

• Transportation Technology and Policy
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• v.12 no.3
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• pp.24-30
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• 2015

• Transportation Technology and Policy
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• v.8 no.6
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• pp.13-23
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• 2011

• Transportation Technology and Policy
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• v.7 no.2
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• pp.51-61
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• 2010

• Proceedings of the KOR-KST Conference
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• 2007.11a
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• pp.659-665
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• 2007

• Journal of Korean Society of Transportation
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• v.30 no.3
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• pp.83-91
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• 2012

The objective of this study is to build a methodology for evaluating intelligent transportation systems (ITS) projects, by selecting measures of effectiveness (MOEs) and developing an approach to collect and process traffic data. While reviewing the existing MOEs and evaluation methodologies for ITS projects, several problems were found, such as the complication in delineating study areas, the absence of standardized evaluation methodologies, and the duplication in selecting MOEs. To tackle these problems, two MOEs capable of directly evaluating traffic conditions were chosen: i.e., average vehicle speed and traffic volume. Both MOEs can not only include all the functions of the existing MOEs, but also be simpler and more objective in evaluating real traffic conditions. The traffic volume can be measured by using either "cordon line" or "all point average" methods. On the other hand, measuring the average vehicle speed depends on site-specific characteristics such as traffic flow states (interrupted or uninterrupted) and traffic conditions (congested or uncongested). The present methodology is easily understandable for anyone and applicable for any ITS project, and is also expected to contribute to building a standardized evaluation system.