• Journal of Information Processing Systems
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• 제18권6호
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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.

• 대한토목학회논문집
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• 제26권2D호
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• pp.259-263
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• 2006

유비쿼터스 컴퓨팅이라는 화두가 새로운 국가성장동력으로 부상하면서 이에 대한 이해를 바탕으로 교통분야의 참여와 대응이 시급한 실정이다. 유비쿼터스란 IT네트워크가 일상화되는 개념으로 5 Any(Anytime, Anywhere, Anything, Anynetwork, Anydevice)의 실현을 기반으로 한다. 이에 IT기술과 교통기술을 접목하여 ITS를 발전시키고 있듯이, 유비쿼터스 컴퓨팅과 교통기술의 접목을 통한 u-Transportation 개념을 논의해야 할 시점이다. 최근 관련 문헌과 연구를 보면 교통분야, 특히 교통정보분야를 유비쿼터스의 매우 큰 응용분야로 빈번히 거론하고 있음을 알 수 있다. 그러나 대부분이 교통분야에 대한 심층적 이해 없이 단순한 상식수준에서 비전문적으로 다루어지고 있다. 본 논문은 최근기술동향자료를 토대로 u-Transportation 실현과 관련한 교통기술 분야의 쟁점과 역할에 대하여 집중 조명한다.

• 산업공학
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• 제21권1호
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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.

• 한국방사성폐기물학회:학술대회논문집
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• 한국방사성폐기물학회 2018년도 춘계학술논문요약집
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• pp.45-46
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• 2018

• International journal of advanced smart convergence
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• 제12권4호
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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.

• 대한토목학회논문집
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• 제35권6호
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• pp.1395-1404
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• 2015

본 연구는 도로교통분야 기술수준의 정량적인 평가와 기술개발, 국토교통 R&D의 전략적 방향 모색 및 기술정책 수립 등 수요에 대응할 수 있는 기초자료 제공을 목적으로 수행하였다. 이를 위해 도로교통분야의 기술 분류체계를 구축하고 기술별 핵심 키워드를 도출하여 한국, 미국, 일본, 독일, 프랑스, 영국의 기술수준 조사를 실시하였다. 기술수준 평가결과 미국이 모든 기술분야에서 최상의 특허 및 논문기술경쟁력을 보유한 것으로 나타났다. 한국의 경우 전반적으로 중상위권의 기술경쟁력을 보유한 것으로 나타났으나, 기술별 편차가 있는 것으로 나타났다. 본 연구결과는 향후 도로교통분야 기술개발 및 계획수립 시 기초자료로 활용될 수 있다.

• International Journal of Railway
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• 제5권4호
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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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• 제13권11호
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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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• 제6권1호
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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.

• 교통기술과정책
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• 제8권4호
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• pp.73-76
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• 2011