• Journal of Information Processing Systems
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• v.18 no.6
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• pp.763-769
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• 2022

Transportation allocation requires information such as storage location and order information. In order to guarantee the safe transmission and real-time sharing of information in all links, an intelligent transportation control system based on blockchain technology is designed. Firstly, the technical architecture of intelligent transportation information traceability blockchain and the overall architecture of intelligent transportation control system were designed. Secondly, the transportation management demand module and storage demand management module were designed, and the control process of each module was given. Then, the type of intelligent transportation vehicle was defined, the objective function of intelligent transportation control was designed, and the objective function of intelligent transportation control was constructed. Finally, the intelligent transportation control was realized by genetic algorithm. It was found that when the transportation order volume was 50×103, and the CPU occupancy of the designed system was only 11.8%. The reliability attenuation of the code deletion scheme was lower, indicating better performance of the designed system.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.2D
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• pp.259-263
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• 2006

As the concept of Ubiquitous Computing has become an important issue, we need to have a voice in the field of Transportation. Ubiquitous Computing means that IT network based on realization of 5 Any(Anytime, Anywhere, Anything, Anynetwork, Anydevice) is deeply penetrated into our daily life. As ITS has developed with the aid of IT and Transportation Technology together, we need to discuss u-Transportation concept with Ubiquitous Computing and Transportation Technology. According to the recent papers and studies, Transportation or Transportation Information sector is mentioned as a major application of Ubiquitous Computing. However, most of the studies are limited to the basic concept without any in-depth understanding about Transportation. This paper present the implementation of u-Transportation and the role of Transportation Technology based on recent technology trend.

• IE interfaces
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• v.21 no.1
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• pp.120-130
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• 2008

In this paper, we develop a transportation planning system for the mail transportation network, which consists of 25 mail centers and one mail exchange center. The main functions of the system are adjustment of transportation plan, creation of new transportation plan, and calculation of expected exchange mail volume which are transported through mail exchange center. We develop an adjusting algorithm which gives a new transportation plan by deleting, adding or changing the current routes. The algorithm based on the transportation results of current transportation plan and mail volume data. We design and implement a planning system by installing the algorithm as the planning engine. For the practical use, the system is connected to the information system of Korea Post, PostNet.

• Proceedings of the Korean Radioactive Waste Society Conference
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• 2018.05a
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• pp.45-46
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• 2018

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.190-201
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• 2023

Securing transportation safety infrastructure technology for Lv.4 connected autonomous driving is very important for the spread of autonomous vehicles, and the safe operation of level 4 autonomous vehicles in adverse weather has limitations due to the development of vehicle-only technology. We developed the radar-enabled AI convergence transportation entities detection system. This system is mounted on fixed and mobile supports on the road, and provides excellent autonomous driving situation recognition/determination results by converging transportation entities information collected from various monitoring sensors such as 60GHz radar and EO/IR based on artificial intelligence. By installing such a radar-enabled AI convergence transportation entities detection system on an autonomous road, it is possible to increase driving efficiency and ensure safety in adverse weather. To secure competitive technologies in the global market, the development of four key technologies such as ① AI-enabled transportation situation recognition/determination algorithm, ② 60GHz radar development technology, ③ multi-sensor data convergence technology, and ④ AI data framework technology is required.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.35 no.6
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• pp.1395-1404
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• 2015

This paper provides information for quantitative evaluation of transportation technology, technology development, and transportation R&D and construction engineering policy agenda. Technology classification structure and key words were established and survey was performed to identify key words of technology for transportation. Then, competitiveness of patents and journal articles is evaluated for Korea, USA, Japan, Germany, France, and England. As a result, USA is the most competitive country for all technology categories based on patents and journal articles. Korea is grouped in upper-middle class for overall transportation technology level. However, there are some variances among the level of technologies. The results of this research can be utilized to establish a road map for transportation R&D and plans.

• International Journal of Railway
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• v.5 no.4
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• pp.167-174
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• 2012

As wireless power transfer (WPT) technologies emerge in a wide range of applications including public transportation, many expect that applying the technology to the current railway systems will bring positive effects to current railway systems. In this paper, we introduce design methodology of a WPT system for railway application. Fundamental principles of magnetic fields and a WPT circuit are first analyzed, and advantages and efficiency of a possible train system are discussed. It then examines other significant factors such as performance requirements and EMC criteria to design a wireless train system.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.11
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• pp.5299-5320
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• 2019

Interest in self-driving vehicle research has been rapidly increasing, and related research has been continuously conducted. In such a fast-paced self-driving vehicle research area, the development of advanced technology for better convenience safety, and efficiency in road and transportation systems is expected. Here, we investigate research in self-driving vehicles and analyze the main technologies of driverless car software, including: technical aspects of autonomous vehicles, traffic infrastructure and its communications, research techniques with vision recognition, deep leaning algorithms, localization methods, existing problems, and future development directions. First, we introduce intelligent self-driving car and road infrastructure algorithms such as machine learning, image processing methods, and localizations. Second, we examine the intelligent technologies used in self-driving car projects, autonomous vehicles equipped with multiple sensors, and interactions with transport infrastructure. Finally, we highlight the future direction and challenges of self-driving vehicle transportation systems.

• Asia Pacific Journal of Business Review
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• v.6 no.1
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• pp.21-48
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• 2021

Promoting low carbon transportation adoption is important for energy saving. Some prior studies have discussed on environmental values affect low carbon transportation commuting is inconclusive. This study has constructed the environmental values, utility value, and social influence-based low-carbon transportation adoption model through the theory of the technology acceptance model and VBN model and the IS success model. Through the SEM model and stepwise regression analysis, we have found that environmental values positively affect utility value, and utility value also positively affects the behavior adoption of low carbon transportation. The utility value as mediating effect in the relationship between environmental values and low carbon transportation commuting behavior. Besides, we also have found that social influence positively impacts the behavior adoption of low carbon transportation. It better enhances the level of household residents' environmental values and utility values, and social influence for promoting the adoption of low carbon transportation. This present research provides theoretical guidance and suggestions for promoting the development of low-carbon transportation innovation.

• Transportation Technology and Policy
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• v.8 no.4
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• pp.73-76
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• 2011