• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.3
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• pp.116-130
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• 2023

Expressways play pivotal roles in cargo transportation because of their superior accessibility and mobility compared to rail and air. On the other hand, there is a limit to the accurate calculation of cargo transportation performance using existing highways owing to the mixture of vehicle types and difficulty in identifying cargo loads of individual cargo vehicles. This paper presents an algorithm for calculating more reliable cargo transportation performance using big data. The traffic performance (veh·km/day) was derived using the data collected from Toll Collecting System. The average tolerance weight for each vehicle type and the cargo load unit (ton/unit) considering it was calculated using vehicle specification information data and high-speed and low-speed axis data. This study calculated the cargo transportation performance by section and type using various online integrated highway data and presented a method for calculating the transportation performance by linking open business offices and private highways.

• Information Systems Review
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• v.4 no.2
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• pp.41-58
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• 2002

This paper is to show the meaningfulness of applying Information Technology Architecture (ITA) to the modeling of a nation-wide e-Business architecture framework. After reviewing various architecture frameworks we suggested a unique architecture framework called VMT (Views, Models, and Time-frames). VMT represents five views of e-Business stakeholders; six models of data, function, network, agent, event, and rule; and three timeframes of short-term, mid-term, and long-term. VMT is an extension and unification of popular frameworks including Zachman's framework that has international recognition and use, C4ISR architecture framework of US DoD's, and Federal Enterprise Architecture Framework (FEAF) of the US Federal Government's.