• Title/Summary/Keyword: Traffic big data

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Exploring the Temporal Relationship Between Traffic Information Web/Mobile Application Access and Actual Traffic Volume on Expressways (웹/모바일-어플리케이션 접속 지표와 TCS 교통량의 상관관계 연구)

  • RYU, Ingon;LEE, Jaeyoung;CHOI, Keechoo;KIM, Junghwa;AHN, Soonwook
    • Journal of Korean Society of Transportation
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    • v.34 no.1
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    • pp.1-14
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    • 2016
  • In the recent years, the internet has become accessible without limitation of time and location to anyone with smartphones. It resulted in more convenient travel information access both on the pre-trip and en-route phase. The main objective of this study is to conduct a stationary test for traffic information web/mobile application access indexes from TCS (Toll Collection System); and analyzing the relationship between the web/mobile application access indexes and actual traffic volume on expressways, in order to analyze searching behavior of expressway related travel information. The key findings of this study are as follows: first, the results of ADF-test and PP-test confirm that the web/mobile application access indexes by time periods satisfy stationary conditions even without log or differential transformation. Second, the Pearson correlation test showed that there is a strong and positive correlation between the web/mobile application access indexes and expressway entry and exit traffic volume. In contrast, truck entry traffic volume from TCS has no significant correlation with the web/mobile application access indexes. Third, the time gap relationship between time-series variables (i.e., concurrent, leading and lagging) was analyzed by cross-correlation tests. The results indicated that the mobile application access leads web access, and the number of mobile application execution is concurrent with all web access indexes. Lastly, there was no web/mobile application access indexes leading expressway entry traffic volumes on expressways, and the highest correlation was observed between webpage view/visitor/new visitor/repeat visitor/application execution counts and expressway entry volume with a lag of one hour. It is expected that specific individual travel behavior can be predicted such as route conversion time and ratio if the data are subdivided by time periods and areas and utilizing traffic information users' location.

A Study on the Road Safety Analysis Model: Focused on National Highway Areas in Cheonbuk Province (도로 안전성 분석 모형에 관한 연구: 전라북도 국도 권역을 중심으로)

  • Lim, Joonbeom;Kim, Joon-Ki;Lee, Soobeom;Kim, Hyunjin
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.34 no.2
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    • pp.583-595
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    • 2014
  • Currently, Korean transportation policies are aiming for increase of safety and environment-friendly and efficient operation, by avoiding construction and expansion of roads, and upgrading road alignments and facilities. This is revealed by that there have been 22 road expansion projects (30%) and 50 road improvement projects (70%) under the 3rd Five-Year Plan for National Highways ('11~'15), while there were 53 road expansion projects (71%) and 22 road improvement projects (29%) under the 2nd Five-Year Plan for National Highways. For more effective road improvement projects, there is a need of choosing projects after an objective and scientific safety assessment of each road, and assessing safety improvement depending on projects. This study is intended to develop a model for this road safety analysis and assessment. The major objective of this study is creating a road safety analysis and assessment model appropriate for Korean society, based on the HSM (Highway Safety Manual) of the U.S. In order to build up data for model development, the sections thought to have identical geometrical structure factors in 5 lines, Cheonbuk province, were divided as homogeneous sections, and representative values of geometric structures, facilities, traffic volume, climate conditions and land usage were collected from the 1,452 sections divided. In order to build up data for model development, the sections thought to have identical geometrical structure factors in 5 lines, Cheonbuk province, were divided as homogeneous sections, and representative values of geometric structures, facilities, traffic volume, climate conditions and land usage were collected from the 1,452 sections divided. The collected data was processed correlation analysis of each road element was implemented to see which factor had a big effect on traffic accidents. On the basis of these results, then, an accident model was established as a negative binomial regression model.Using the developed model, an Crash Modification Factor (CMF) which determines accident frequency changes depending on safety performance function (SPF) predicting the number of accident occurrence through traffic volume and road section expansion, road geometric structure and traffic properties, was extracted.

The Efficient Bandwidth Control Method for Variable Data using ATM-GFR Service (ATM-GFR 서비스를 이용한 가변 데이터의 효과적인 대역폭 관리)

  • Kim Jung-Gyu;Lee Young-Dong
    • Journal of Digital Contents Society
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    • v.2 no.2
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    • pp.129-138
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    • 2001
  • With the explosive growth and pervasive of the Internet, dynamic bandwidth allocation is nessary for ATM streams that carry various traffic. In order to provide quality of service(QoS) guarantees and to give the minimum cell rate, new bandwidth allocation scheme requires to be implemented. DFBA(Differential Fair Buffer Allocation) scheme is one of the methods for ATM GFR(Guaranteed Frame Rate) services. DFBA scheme treats cells selectively in a region between low buffer occupancy threshold and high buffer occupancy threshold. A big unbalance is introduced when the value being selected by DFBA scheme is greater than minimum rate. In a try to reduce the unbalance modified DFBA scheme is proposed. Selecting parameter according to the situation of network, this scheme is very effective to control the bandwidth in the various network situation.

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Design and Implementation of a Realtime Optimal Traffic Route Guidance System Through Big Data Analysis (빅데이터 분석을 통한 실시간 최적 교통 경로 안내 시스템의 설계 및 구현)

  • Lim, Jongtae;Kim, Kiyeon;Kim, Jaegu;Oh, Hyunkyo;Yoon, Sooyong;Park, Sunyong;Yoon, Sangwon;Han, Jieun;Bok, Kyoungsoo;Yoo, Jaesoo
    • Proceedings of the Korea Contents Association Conference
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    • 2014.11a
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    • pp.297-298
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    • 2014
  • 최근 사회 전반적으로 빅데이터가 주목 받고 있다. 기존 대중교통 안내 어플리케이션의 경우 현재 교통정보를 기준으로 추천하기 때문에 실제로는 최적의 경로가 아닌 경로가 추천될 수 있다. 본 논문에서는 빅데이터 분석을 통한 실시간 최적 교통 경로 안내 시스템을 설계하고 구현한다. 설계한 시스템은 과거 교통 정보를 분석하여 각 경로들의 교통상황을 예측하여 경로 이동 계획을 설정해준다. 또한 중간에 교통상황이 급변하여 경로를 수정해야할 필요가 있을 때 사용자에게 알림을 주고 그에 대한 조치를 취할 수 있도록 지원한다.

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The Effect of Store Selection Attributes and Consumption Emotion on Revisit Intention to Traditional Market under Retail Regulation

  • Park, Jong-Ho;Chung, Lak-Chae
    • Journal of Distribution Science
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    • v.14 no.6
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    • pp.17-26
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    • 2016
  • Purpose - The purpose of this study is to measure the effect on the attributes for store selection and Korean government regulations for large retailers on consumption emotion. Research Design, Data, and Methodology - Using SPSS ver.22, factor analysis & Cronbach's alpha, correlation, and regression test were performed. The total of 287 questionnaires were used for the analysis Result - Familiarity, perceived price, and perceived image have a positive effect on consumption emotion, but perceived quality & service did not. The Consumption emotion had a positive effect on traditional market revisit intentions. Retail regulation preference has a mediate effect between consumption emotion and familiarity & perceived price. Retail regulation preference also has a mediate effect between consumption emotion and traditional market revisit intension. Conclusion - Relationship marketing with sincerity is very important to keep familiarity, perceived price and image. People's consumption trend was changed due to dual career couple and heavy traffic jam in big cities. Therefore, a retail regulation cannot be a right solution for revitalizing traditional markets. So we need to find out an actual situation and design a win-win strategy between large retailers and traditional market.

The Sensitivity of the Parameters of Microcontroller Device with Coupling Caused by UWB-HPEM (Ultra Wideband-High Power Electromagnetics) (광대역 고출력 전자기 펄스에 의한 마이크로컨트롤러 소자의 매개변수들의 민감성 분석)

  • Hwang, Sun-Mook;Hong, Joo-Il;Huh, Chang-Su
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.59 no.2
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    • pp.369-373
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    • 2010
  • Modem electronic circuits are of importance for the function of communication, traffic systems and security systems. An intentional threat to these systems could be of big casualties and economic disasters. This paper has shown damage effect of microcontroller device with coupling caused by UWB-HPEM(Ultra Wideband-High Power Electromagnetics). The UWB measurements were done at an Anechoic Chamber using a RADAN UWB voltage source, which can generate a transient impulse of about 180 kV. The susceptibility level for microcontroller has been assessed by effect of various operation line lengths. The results of susceptibility analysis has showed that the effect of the reset line length on the MT(Ma1function Threshold) is larger than the effect of the different line length(Data, Power, Clock). With the knowledge of these parameters electronic system can be designed exactly suitable concerning the system requirements. Based on the results, susceptibility of microcontroller can be applied to protection plan to elucidate the effects of microwaves on electronic equipment.

Neural Network and Cloud Computing for Predicting ECG Waves from PPG Readings

  • Kosasih, David Ishak;Lee, Byung-Gook;Lim, Hyotaek
    • Journal of Multimedia Information System
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    • v.9 no.1
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    • pp.11-20
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    • 2022
  • In this paper, we have recently created self-driving cars and self-parking systems in human-friendly cars that can provide high safety and high convenience functions by recognizing the internal and external situations of automobiles in real time by incorporating next-generation electronics, information communication, and function control technologies. And with the development of connected cars, the ITS (Intelligent Transportation Systems) market is expected to grow rapidly. Intelligent Transportation System (ITS) is an intelligent transportation system that incorporates technologies such as electronics, information, communication, and control into the transportation system, and aims to implement a next-generation transportation system suitable for the information society. By combining the technologies of connected cars and Internet of Things with software features and operating systems, future cars will serve as a service platform to connect the surrounding infrastructure on their own. This study creates a research methodology based on the Enhanced Security Model in Self-Driving Cars model. As for the types of attacks, Availability Attack, Man in the Middle Attack, Imperial Password Use, and Use Inclusive Access Control attack defense methodology are used. Along with the commercialization of 5G, various service models using advanced technologies such as autonomous vehicles, traffic information sharing systems using IoT, and AI-based mobility services are also appearing, and the growth of smart transportation is accelerating. Therefore, research was conducted to defend against hacking based on vulnerabilities of smart cars based on artificial intelligence blockchain.

The Intelligent Blockchain for the Protection of Smart Automobile Hacking

  • Kim, Seong-Kyu;Jang, Eun-Sill
    • Journal of Multimedia Information System
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    • v.9 no.1
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    • pp.33-42
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    • 2022
  • In this paper, we have recently created self-driving cars and self-parking systems in human-friendly cars that can provide high safety and high convenience functions by recognizing the internal and external situations of automobiles in real time by incorporating next-generation electronics, information communication, and function control technologies. And with the development of connected cars, the ITS (Intelligent Transportation Systems) market is expected to grow rapidly. Intelligent Transportation System (ITS) is an intelligent transportation system that incorporates technologies such as electronics, information, communication, and control into the transportation system, and aims to implement a next-generation transportation system suitable for the information society. By combining the technologies of connected cars and Internet of Things with software features and operating systems, future cars will serve as a service platform to connect the surrounding infrastructure on their own. This study creates a research methodology based on the Enhanced Security Model in Self-Driving Cars model. As for the types of attacks, Availability Attack, Man in the Middle Attack, Imperial Password Use, and Use Inclusive Access Control attack defense methodology are used. Along with the commercialization of 5G, various service models using advanced technologies such as autonomous vehicles, traffic information sharing systems using IoT, and AI-based mobility services are also appearing, and the growth of smart transportation is accelerating. Therefore, research was conducted to defend against hacking based on vulnerabilities of smart cars based on artificial intelligence blockchain.

Use of Software Agent Technology in Management Information System: A Literature Review and Classification

  • Hamirahanim Abdul Rahman;Jinsoo Park;Jihae Suh
    • Asia pacific journal of information systems
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    • v.29 no.1
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    • pp.65-82
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    • 2019
  • Technological innovations over the years have accentuated the workings in corporate- connected organizations and different application platforms. Hence, a unified management information system (MIS) that can utilize the Web and propel programming developments is required. Software agents, the latest developments in computer software technology, can be utilized to rapidly and effortlessly build integrated information systems. Consequently, 59 research papers on the use of software agents in MIS were identified from top 40 MIS journals published between 2007 and 2017. Then, we reviewed and classified all the research papers according to two categories: application fields and application categories. The application fields consisted of eight sub-groups: manufacturing, telecommunication systems, traffic and transportation management, information filtering and gathering, electronic commerce, business process management, entertainment, and medical care; whereas the application categories consisted of three sub-groups: multi-agent systems, personal assistants, and multi-agent simulation. The research papers were further divided into journal and year of publication, and journal and application field. The objective of our research was to understand the trend of the use software agent technology in MIS by examining the published research paper beside to add knowledge and content to the information system academic discipline.

A Study on Analytical Methodology for Establishing Neighborhood Unit based on Mobility Data (모빌리티 데이터 기반의 생활권 설정을 위한 분석방법론 연구)

  • Bumchul Cho;Kihun Kwon
    • The Journal of Bigdata
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    • v.9 no.1
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    • pp.1-16
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    • 2024
  • In urban design and planning, establishing neighborhood units and arranging urban planning facilities are important matters to be considered first. In particular, effective arrangement considering the influence area of each urban planning facility can solve traffic problems and improve the efficiency of urban structure according to the visitors to the facility, and can be used as basic data for more effective living areas. Therefore, this study proposed a methodology to analyze the number of users, the time required for access, and the destinations of users for major urban planning facilities such as schools and neighborhood parks based on mobile communication base station data. In addition, using this methodology, the users and influence areas of major urban planning facilities in Cheonan-si were analyzed.