• Title/Summary/Keyword: intelligent transportation systems

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Analysis of the Effects of the Truck Platooning Using a Meta-analysis (메타분석을 이용한 화물차 군집주행의 효과 분석)

  • Kim, Yejin;Jeong, Harim;Ko, Woori;Park, Joong-gyu;Yun, Ilsoo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.21 no.1
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    • pp.76-90
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    • 2022
  • The platooning refers to a form in which one or more following vehicles along the path of the leading vehicle(directly driven by the driver) drive in one platoon using V2V, V2I communication and vehicle-mounted sensor. Platooning has emerged in line with the increasing demand for cargo volume and advanced transportation logistics systems, and is expected to have effects such as increasing capacity, reducing labor costs, and reducing fuel consumption. However, compared to general passenger cars, research on autonomous driving of trucks and verification of their effects are insufficient. Therefore, in this study, meta-analysis was conducted on the theme of the effect of truck platooning, and the results of existing studies related to platooning effects were integrated into one reliable, generalized, and objective summary estimate. In conclusion, it was analyzed that the introduction of truck platooning would have an effect of 13.93% increase in capacity, 38.76% decrease in conflict, and 8.13% decrease in fuel consumption.

Development of Intelligent Route Planning System for Intermodal Transportation (지능형 복합수송 경로 계획 시스템의 개발)

  • Choi, Hyung-Rim;Kim, Hyun-Soo;Cho, Min-Je;Lee, Jung-Hee;Sadeh Norman M.;Park, Byung-Joo
    • Journal of Korea Society of Industrial Information Systems
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    • v.12 no.1
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    • pp.19-27
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    • 2007
  • The collection of schedule information for intermodal transportation and the establishment of the system to generate available transportation routes have become the basic and necessary factors for the logistics business. However, at present, due to the lack of an effective system, most logistics companies are not providing a sufficient and objective information service to their customers. In an effort to solve this problem, this study tried to develop an intelligent route planning system for intermodal transport, which can generate and select a route suitable to the demands of the user and based on all the collected schedule information of transportation mode.

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Analysis of Traffic Improvement Measures in Transportation Impact Assessment Using Text Mining : Focusing on City Development Projects in Gyeonggi Province (텍스트마이닝을 활용한 교통영향평가 교통개선대책 분석 : 경기도 도시개발사업을 대상으로)

  • Eun Hye Yang;Hee Chan Kang;Woo-Young Ahn
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.2
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    • pp.182-194
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    • 2023
  • Traffic impact assessment plays a crucial role in resolving traffic issues that may arise during the implementation of urban and transportation projects. However, reported results diverge, presumably because the items reviewed differ. In this study, we analyze traffic improvement measures approved for traffic impact assessment, identify key items, and present items that should be included in assessments. Specifically, TF-IDF and N-gram analysis and text mining were performed with focus on urban development projects approved in Gyeonggi Province. The results obtained show that keywords associated with newly established transportation infrastructure, such as roads and intersections, were essential assessment items, followed by the locations of entrances and exits and pedestrian connectivity. We recommend that considerations of the items presented in this study be incorporated into future traffic impact assessment guidelines and standards to improve the consistency and objectivity of the assessment process.

Evaluation of Technical Feasibility for Vehicle Classification Using Inductive Loop Detectors on Freeways (고속도로 루프검지기를 이용한 차종분류 기법 평가)

  • Park, Joon-Hyeong;Kim, Tae-Jin;Oh, Cheol
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.8 no.1
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    • pp.9-21
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    • 2009
  • This study presents a useful heuristic algorithm to classify vehicle classes using vehicle length information, which is extracted from inductive loop vehicle signatures. A high-speed scanning equipment was used to extract more detailed change of inductance magnitude for individual vehicles. Vehicle detection time and individual vehicle speeds were used to derive vehicle length information that is an input of the proposed algorithm. The spatial and temporal transferability tests were further conducted to evaluate algorithm. The spatial and temporal transferability tests were further conducted to evaluate algorithm performance more systematically. It is expected that the proposed method would be useful for obtaining vehicle classification information from wide-spread existing loop infrastructure.

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Analysis for Characteristics of Driver's Legibility Performance Using Portable Variable Message Sign (PVMS) (운전자 인적요인을 고려한 PVMS 메시지 판독특성 분석)

  • Song, Tai-Jin;Oh, Cheol;Kim, Tae-Hyung;Yeon, Ji-Yoon
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.7 no.4
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    • pp.25-35
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    • 2008
  • Variable Message Sign(VMS) is one of the subsystem of Intelligent Transportation Systems (ITS), which is useful for providing real-time information on weather, traffic and highway conditions. However, there are various situations such as incidents/accidents, constructions, special events, etc., which would be occurred on segments, it is unable to control traffic with only the VMS. Thus, it is essential to use of PVMS(Portable Variable Message Signs), which can move to the location needed traffic control and provide more active traffic information than VMS. This study developed a legibility distance model for PVMS messages using in-vehicle Differential Global Positioning Data(DGPS). Traffic conditions, drivers' characteristics, weather conditions and characteristics of PVMS message were investigated for establishing the legibility model based on multiple linear regression analysis. The factors such as height of PVMS characters, spot speed, age, gender and day and night were identified as dominants affecting the variation of legibility distances. It is expected that the proposed model would play a significant role in designing PVMS messages for providing more effective real-time traffic information.

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A Secure Electronic Payment System in Intelligent Transportation Systems Using the Dedicated Short Range Communications (단거리 전용통신을 이용한 지능형 교통시스템에서의 안전한 전자 지불 시스템)

  • Jang Chung-Ryong;Lee Yong-Kwon
    • The Journal of the Korea Contents Association
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    • v.4 no.4
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    • pp.71-78
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    • 2004
  • Dedicated Short Range Communications(DSRC) as a prominent communications candidate for Intelligent Transportation Systems(ITS) have been developed to support ITS applications such as value-added information service, e-commerce, electronic toll payment, etc. These various applications associated with electronic payment through unsecure communication channel of DSRC suffer from security threats. To ensure secure payment, we have adopted appropriate cryptographic mechanisms including encipherment, authentication exchange and digital signature. The cryptographic mechanisms require to use cryptographic keys established between two communication entities. In this paper, we propose a secure electronic payment system which is designed to have some functions for strong authentication, encryption, key agreement, etc. Especially, we adopt domestic developed cryptographic algorithms such as EC-KCDSA and SEED for digital signature and block cipher, respectively. We can show those mechanisms are appropriate for the secure electronic payment system for ITS services under the DSRC wireless environment in aspects of constrained computational resource use and processing speed.

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Rate of Probe Vehicles for the Collection of Traffic Information on Expressways (고속도로 교통정보 취득을 위한 프루브 차량 비율 산정 연구)

  • Kim, Jiwon;Jeong, Harim;Kang, Sungkwan;Yun, Ilsoo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.18 no.6
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    • pp.262-274
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    • 2019
  • The purpose of this study is to estimate the minimum proportion of probe vehicles for obtaining expressway traffic information using VISSIM, a micro traffic simulation model, between Yongin IC and Yangji IC on Yeongdong Expressway. 7,200 scenarios were created for the experiment, and 40 scenarios were adopted using the Latin hypercube sampling method because it was difficult to perform all the scenarios through experiments. The reliability of the experiment was improved by adding a situation when the general situation and the accident situation exist. In the experiments, the average travel time of probe vehicles at different market penetration rates were compared with the average travel time of the entire vehicles. As a result, the minimum market penetration rate of probe vehicles for obtaining expressway traffic information was found to be 45%. In addition, it is estimated that 25% market penetration rate of probe vehicle can meet 70% of traffic situations in accident scenario.