• Title/Summary/Keyword: Multi-transportation

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A Multi-modal Continuous Network Design Model by Using Cooperative Game Approach (협력적 게임을 이용한 다수단 연속형 교통망 설계 모형)

  • Kim, Byeong-Gwan;Lee, Yeong-In;Im, Yong-Taek;Im, Gang-Won
    • Journal of Korean Society of Transportation
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    • v.29 no.1
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    • pp.81-93
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    • 2011
  • This research deals with the multi-modal continuous network design problem to resolve the transportation policy problems for constructing and operating transportation facilities with considering the mutual decision-making process between transportation operator and user in the multi-modal network. Particularly, in the consideration of changes in travel pattern between transport modes due to the changes in transportation policy, road network for passenger car and transit network for public transportation are considered together. In the development of network design model, more rational Stackelberg equilibrium(cooperative game) rather than more general Nash equilibrium(non-cooperative game) approach is used and sensitivity analysis considering transport mode is used. A multi-modal continuous network design model in this study is developed for the arbitrary continuous network design parameters(${\epsilon},\hat{\epsilon},p$) of transportation policy decisions. As examples of application and evaluation for these design parameters, the developed model is applied to calculate 1)the optimal capacity of road link in the road transport policy, 2)the optimal frequency of transit line in public transport policy and 3)the optimal modal split in transport modal share policy.

Study Regarding Interrelations of Transportation Network Using Multi-Criteria Analysis (다기준 분석기법을 이용한 교통네트워크의 상호연관성에 관한 연구)

  • NamKung, Baek-Kyu;Chung, Sung-Bong;Kim, Si-Gon;Yi, Su-Ho
    • Proceedings of the KSR Conference
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    • 2011.10a
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    • pp.1816-1824
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    • 2011
  • Recently, with traffic SOC investment policy changing from road-centered to railway-centered according to environment-friendly and sustainable development, issues regarding overlapping and overinvestment of traffic facility have been raised. Regarding investment of various traffic facilities of which departure and destination are similar to each other, academia, civic organizations, government, etc. are recognizing problems including overlapping investment of budget, environmental destruction, etc., but not suggesting definite solutions. Objective transportation network analysis is required because various positive effects including solutions of delay/congestion may occur due to provision of alternative way and distribution of the amount of traffic when accidents occur, as well as negative effects suggested by some of civic organizations in various transportation facility investment of similar departure and destination. Hereupon, this study tries to suggest a tool that can objectively evaluate interrelations of transportation network by applying multi-criteria analysis including economic feasibility regarding analysis of interconnections between and within means of transportation.

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A Study on the Development of Propulsion Control Simulator for Maintenance Training of Railway Vehicle (철도차량 유지보수 훈련용 추진제어장치 시뮬레이터 개발에 관한 연구)

  • Kim, Bo-Sung;Jung, No-Geon;Kim, Jae-Moon
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.64 no.10
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    • pp.1528-1534
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    • 2015
  • This paper designed the railway vehicle running device with a proto-type for the railway vehicle maintenance training and developed a propulsion control device simulator equipped the imitation steering wheel. In addition, this paper applied a multi-thread technology in order to implement the staged fault and the propulsion control device protected operation test and an implementation of the failure that occur in actual rail vehicle and confirm the validity as the propulsion control device simulator for the maintenance training.

Analysis Methodologies for Planning A Long-term Sustainable High-speed Rail Network using Multi-attribute Utility Theory (지속가능한 고속철도망 계획을 위한 분석방법론 연구: 다원-속성 효용이론을 이용하여)

  • Park, Jin-Kyung;Eom, Jin-Ki;Lee, Jun;Rho, Hak-Lae
    • Proceedings of the KSR Conference
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    • 2007.11a
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    • pp.1647-1656
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    • 2007
  • With the growing international consensus regarding sustainable development of transportation, the plan of transportation infrastructure needs to meet various requirements toward enhancing environmental conditions. Accordingly, the upcoming long-term plan of high-speed rail network has to be reflecting the sustainability of transportation systems. In this paper, we propose methodologies based on multi-attribute utility theory for determining priorities of sustainable high-speed rail investment. The proposed methodologies identify indicators for sustainable transportation systems such as economic, environmental, social, and transportation-related ones and then, explain the way how to evaluate the overall sustainability by comparing the relative importance among indicators. This will help transportation agencies to prioritize high-speed rail investment toward sustainable transportation systems.

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Intelligent Traffic Prediction by Multi-sensor Fusion using Multi-threaded Machine Learning

  • Aung, Swe Sw;Nagayama, Itaru;Tamaki, Shiro
    • IEIE Transactions on Smart Processing and Computing
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    • v.5 no.6
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    • pp.430-439
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    • 2016
  • Estimation and analysis of traffic jams plays a vital role in an intelligent transportation system and advances safety in the transportation system as well as mobility and optimization of environmental impact. For these reasons, many researchers currently mainly focus on the brilliant machine learning-based prediction approaches for traffic prediction systems. This paper primarily addresses the analysis and comparison of prediction accuracy between two machine learning algorithms: Naïve Bayes and K-Nearest Neighbor (K-NN). Based on the fact that optimized estimation accuracy of these methods mainly depends on a large amount of recounted data and that they require much time to compute the same function heuristically for each action, we propose an approach that applies multi-threading to these heuristic methods. It is obvious that the greater the amount of historical data, the more processing time is necessary. For a real-time system, operational response time is vital, and the proposed system also focuses on the time complexity cost as well as computational complexity. It is experimentally confirmed that K-NN does much better than Naïve Bayes, not only in prediction accuracy but also in processing time. Multi-threading-based K-NN could compute four times faster than classical K-NN, whereas multi-threading-based Naïve Bayes could process only twice as fast as classical Bayes.

A Fuzzy Multi-Objective Linear Programming Model: A Case Study of an LPG Distribution Network

  • Ozyoruk, Bahar;Donmez, Nilay
    • Industrial Engineering and Management Systems
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    • v.13 no.3
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    • pp.319-329
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    • 2014
  • Supply chain management is a subject that has an increasing importance due to the developments in the global markets and technology. In this paper, a fuzzy multi-objective linear programming model is developed for the supply chain of a company dealing with procurement, storage, filling, and distribution of liquefied petroleum gas (LPG) in Turkey. The model intends to determine the quantities of LPG to be procured, stored, filled to cylinders, and transported between the plants and demand centers for six planning periods. In this model, which aims to minimize both total costs (sum of procurement, storage, filling, and transportation costs) and total transportation distances, demand quantities of the main demand centers and decision maker's aspiration levels about objective functions are fuzzy. After comparing the results obtained from the model with those obtained by using different methods, it is concluded that the proposed method can be applied to real world problems practically and it may be used in this type of problems in order to generate an efficient solution.

Multiobjective Decision-Making applied to Ship Optimal Design

  • Wang, Li-Zheng;Xi, Rong-Fei;Bao, Cong-Xi
    • Journal of Ship and Ocean Technology
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    • v.5 no.1
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    • pp.30-37
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    • 2001
  • Ship optimal design is a multi-objective decision-making process and its optimal solution does not exit in general. It is a problem in which the decision-maker is very interested that an effective solution is how to be found which has good characteristic and is substituted for optimal solution in a sense. In the previous methods of multi-objective decision-making, the weighting coefficients are decided from the point of view of individuals which have a bit sub-jective an unilateral behavior. in order to fairly and objectively decide the weighting coeffi-cients, which are considered to be optimal in all system of multi-objective decision-making and satisfactory solution to the decision-maker, the pater presents a method of applying the Technology of the Biggest Entropy. It is proved that the method described in the paper is very feasible and effective be means of a practical example of ship optimal design.

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Sensor fault diagnosis for bridge monitoring system using similarity of symmetric responses

  • Xu, Xiang;Huang, Qiao;Ren, Yuan;Zhao, Dan-Yang;Yang, Juan
    • Smart Structures and Systems
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    • v.23 no.3
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    • pp.279-293
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    • 2019
  • To ensure high quality data being used for data mining or feature extraction in the bridge structural health monitoring (SHM) system, a practical sensor fault diagnosis methodology has been developed based on the similarity of symmetric structure responses. First, the similarity of symmetric response is discussed using field monitoring data from different sensor types. All the sensors are initially paired and sensor faults are then detected pair by pair to achieve the multi-fault diagnosis of sensor systems. To resolve the coupling response issue between structural damage and sensor fault, the similarity for the target zone (where the studied sensor pair is located) is assessed to determine whether the localized structural damage or sensor fault results in the dissimilarity of the studied sensor pair. If the suspected sensor pair is detected with at least one sensor being faulty, field test could be implemented to support the regression analysis based on the monitoring and field test data for sensor fault isolation and reconstruction. Finally, a case study is adopted to demonstrate the effectiveness of the proposed methodology. As a result, Dasarathy's information fusion model is adopted for multi-sensor information fusion. Euclidean distance is selected as the index to assess the similarity. In conclusion, the proposed method is practical for actual engineering which ensures the reliability of further analysis based on monitoring data.

Preliminary Design Evaluation of Auxiliary Equipment for Transportation and Storage of Multi-purpose Canister (사용후핵연료 다목적 캐니스터의 운반 및 저장 보조 설비에 대한 예비설계 평가)

  • Chang Min Shin;Sang Hwan Lee;Yeon Oh Lee;In Su Jung;Gil Yong Cha
    • Journal of Radiation Industry
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    • v.17 no.3
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    • pp.309-320
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    • 2023
  • A multi-purpose canister (MPC) was developed for the purpose of transportation, storage and disposal of spent nuclear fuel (SNF) and has the advantage of minimizing repackaging between management stages of SNF. Considering the typical rock characteristics in Korea, a disposal canister is expected to contain 4 assemblies of Pressurized water reactor (PWR) SNF. The capacity of the MPC should be similarly designed with the disposal canister. However, the MPC with four SNF assemblies is expected to be less efficient in transporting and storing compared to a large-capacity canister. Therefore, a preliminary concept was derived for an auxiliary equipment that can transport and store multiple MPCs in a large overpack. A previously derived concept from US was thoroughly reviewed, and the preliminary concept was revised considering domestic situations including crane capacity and others. In addition, the safety of the normal transportation and storage of the MPC placed in transportation and storage overpack was evaluated with the auxiliary equipment.

On the Large Area Multi Modal Network Formulation Techniques (대중교통순석을 위한 교통망작성기법)

  • 강위훈
    • Journal of Korean Society of Transportation
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    • v.1 no.1
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    • pp.48-55
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    • 1983
  • One of the major objectives of a transportation study is to provide the transportation networks for future years in order to accommodate the projected transport demand for the movement of passengers and goods utilizing the optimum "mix" of modes. To achieve this goal, the planning process starts with collection and analysis of data to determine the existing traffic demand and travel pattern, and to assign the future trip interchanges on th existing and planned networks to determine areas of improvements so that it can cope with increasing future traval demand. The purpose of this paper attempts to explain the public transport network formulation techniques which can be easily applied to the large urban area multi modal public transport system.

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