• Title/Summary/Keyword: Intelligent transportation

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Identification of Key Factors of Travel Time Budget by Mode in Seoul: Using Seemingly Unrelated Regression Model (서울 거주자의 수단별 이용시간 영향요인 규명: SUR모형을 활용하여)

  • Kim, Su-jae;Lim, Su-yeon;Choi, Sung-taek;Choo, Sang-ho;Ahn, Woo-young
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.15 no.3
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    • pp.23-33
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    • 2016
  • This study identified the factors that affect travel time budget by mode for traveler in Seoul using the SUR model. Individual, household and TAZ characteristics were selected as the explanatory variables. Transportation modes are summarized from 18 types to 6 types(walking, personal car, bus, subway, rail and bicycle). The results showed a distinct difference between personal transportation and public transportation. First of all, People who owned a car and driver's licence tend to prefer personal transportation. In addition, we can confirm the relationship between the bus and the subway which are most typical public transportation. Passengers who can available a personal mode preferred the subway than the bus. It is expected to suggest various implications related to the public transportation policy for Seoul metropolitan area.

A Study on the Design of Logistics Transportation System using Magnetic Levitation (자기부상 물류이송시스템 설계에 관한 연구)

  • Choi, Dae-Gyu;Cho, Jae-Hoon;Kim, Yong-Tae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.24 no.2
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    • pp.129-135
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    • 2014
  • In the paper, we propose a design method for the logistics transportation system using magnetic levitation that has a good characteristics without mechanical friction, noise and dust. The proposed transportation system consists of a levitation control system and a propulsion control system. Magnetic levitation system is an electromagnetic suspension system in which electromagnet generates magnetic attractive force and the attractive force pulls the rail. We design a PID controller for the current control of electromagnets. We use linear induction motors for propulsion of the proposed logistics transportation system and adapt the space vector PWM method for the propulsion control system. The proposed transportation system using magnetic levitation is verified performances through levitation and propulsion experiments.

Impact of Road Traffic Characteristics on Environmental Factors Using IoT Urban Big Data (IoT 도시빅데이터를 활용한 도로교통특성과 유해환경요인 간 영향관계 분석)

  • Park, Byeong hun;Yoo, Dayoung;Park, Dongjoo;Hong, Jungyeol
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.20 no.5
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    • pp.130-145
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    • 2021
  • As part of the Smart Seoul policy, the importance of using big urban data is being highlighted. Furthermore interest in the impact of transportation-related urban environmental factors such as PM10 and noise on citizen's quality of life is steadily increasing. This study established the integrated DB by matching IoT big data with transportation data, including traffic volume and speed in the microscopic Spatio-temporal scope. This data analyzed the impact of a spatial unit in the road-effect zone on environmental risk level. In addition, spatial units with similar characteristics of road traffic and environmental factors were clustered. The results of this study can provide the basis for systematically establishing environmental risk management of urban spatial units such as PM10 or PM2.5 hot-spot and noise hot-spot.

Study on Establishment of Development Strategy for K-City Based on Analysis of Domestic and Overseas Automated Vehicle Testbeds (국내외 자율주행차 테스트베드 분석 기반 K-City 발전 전략 수립에 관한 연구)

  • Kim, Yejin;Park, Sangmin;Kim, Inyoung;Ko, Hangeom;Cho, Seongwoo;Yun, llsoo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.20 no.4
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    • pp.28-46
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    • 2021
  • 85-90% of the causes of traffic accidents are human factors, and autonomous vehicles with little free running distance can be an alternative to prevent traffic accidents caused by human factors. However, securing safety of autonomous vehicles should be preceded in order to reduce traffic accident damage through the introduction of autonomous vehicles. Therefore, it is necessary to verify whether the vehicle can respond appropriately to changes in the road and traffic environment through repeated and reproduced test runs in an environment similar to the actual road. In this study, K-City's development strategies for upgrading, differentiating, and systematic development were established by comparing and analyzing the current status of domestic and foreign testbeds and business environment analysis. Furthermore, we derive challenge tasks to achieve each strategy.

Transport Card Based Revenue Allocation Model Considering Boundary Stations in Seoul Metropolitan Urban Railroad Network (수도권 도시철도 경계역을 반영한 교통카드 기반 수입금 배분모형)

  • Seongil Shin;Hee Chun Kim;Doohee Nam
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.2
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    • pp.15-28
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    • 2023
  • Boundary Station is an evaluation index that was not reflected in the Seoul Metropolitan Urban Railroad Connected Eare Allocation. Boundary station is a station located at the boundary point of two transportation agencies sharing the same route, and track operation methods are divided into business management and maintenance management. Until now, the Connected Fare Allocation has evaluated the boundary stations from the perspective of business management. Meanwhile, the integrated public transportation fee system requires the need to interpret the boundary stations from the point of view of maintenance management at the developmental level. This study was prepared a measure to quantitatively analyze changes in income with the introduction of maintenance methods in mind. The Change in the income of operation agency evaluated based on the daily transportation card data for the boundary stations of the four Seoul Transportation Corporation and KORAIL sections. This study is meaningful as a basic research for an analytical judgment that evaluates and allocates changes in transportation income of Seoul Metropolitan Urban Railroad in the future.

A Vehicle-to-Vehicle Communication Protocol Scheme for Forwarding Emergency Information in Intelligent Cars Transportation Systems (지능형 차량 전송시스템에서 긴급정보 전송을 위한 Vehicle-to-Vehicle 통신 프로토콜)

  • Kim, Kyung-Jun;Cha, Byung-Rae;Kim, Chul-Won
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.6 no.2
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    • pp.70-80
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    • 2007
  • Inter-vehicular communication suffers from a variety of the problem on the road, resulting in large delay in propagating emergency warning. An energy depletion as well as a transmission delay may induced by traffic accident. A transmission delay are caused by direct contention from nodes that can hear each other or indirect contention from nodes that can not hear each other, but simultaneously transmit to the same destination. A variety of works have been researched to solve the transmission delay and energy consumption problem in intelligent cars transportation systems. We consider a vehicle-to-vehicle communication protocol for disseminating an emergency information that include end-to-end and energy efficient transmission. In this paper, we propose A vehicle-to-vehicle communication protocol scheme for dissemination emergency information in intelligent cars communication based on IEEE 802.15.3 wireless personal area networks. Results from a simulation study reveal that our scheme can achieves low latency in delivering emergency warnings, and efficiency in consuming energy in stressful road scenarios.

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Analysis of Transit Passenger Movements within Seoul-Gyeonggi-Incheon Area using Transportation Card (대중교통카드자료를 활용한 수도권 통행인구 이동진단)

  • Lee, Mee Young;Kim, Jong Hyung
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.15 no.5
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    • pp.12-19
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    • 2016
  • An average of 20 million individual transit unit activities per day on the Seoul-Gyeonggi-Incheon public transportation network are provided as transportation card analysis data by the metropolitan district (99.02% by 2014 standard, Humanlive, 2015.4). The metropolitan transportation card data can be employed in a comprehensive analysis of public transportation users' current transit patterns and by means of this, an effective use plan can be explored. In enhancing the existing information on the bus and rail integrated network of the metropolis with public transportation card data, the constraints in the existing methodology of metropolitan transit analysis, which functions on a zone unit origin and destination basis, can be overcome. Framework for metropolitan public transportation card data based integrated public transportation analysis, which consists of bus and rail integrated transport modes, is constructed, and through this, a single passenger's transit behavior transit volume can be approximated. This research proposes that in the use of metropolitan public transportation card data, integrated public transportation usage, as a part of individual passenger spatial movements, can be analyzed. Furthermore, metropolitan public transportation card usage data can provide insights into understanding not only movements of populations taking on transit activities, but also, characteristics of metropolitan local space.