• Title/Summary/Keyword: Trip pattern

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A Trip Mobility Analysis using Big Data (빅데이터 기반의 모빌리티 분석)

  • Cho, Bumchul;Kim, Juyoung;Kim, Dong-ho
    • The Journal of Bigdata
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    • v.5 no.2
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    • pp.85-95
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    • 2020
  • In this study, a mobility analysis method is suggested to estimate an O/D trip demand estimation using Mobile Phone Signaling Data. Using mobile data based on mobile base station location information, a trip chain database was established for each person and daily traffic patterns were analyzed. In addition, a new algorithm was developed to determine the traffic characteristics of their mobilities. To correct the ping pong handover problem of communication data itself, the methodology was developed and the criteria for stay time was set to distinguish pass by between stay within the influence area. The big-data based method is applied to analyze the mobility pattern in inter-regional trip and intra-regional trip in both of an urban area and a rural city. When comparing it with the results with traditional methods, it seems that the new methodology has a possibility to be applied to the national survey projects in the future.

Estimating O-D Trips Between Sub-divided Smaller Zones Within a Traffic Analysis Zone (대존 세분화에 따른 내부 소존 간의 O-D 통행량 추정 방법)

  • KIM, Jung In;KIM, Ikki
    • Journal of Korean Society of Transportation
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    • v.33 no.6
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    • pp.575-583
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    • 2015
  • The Korea Transport Institute (KOTI) builds the origin and destination(O-D) trip data with relatively smaller zone size such as Eup, Myeon, Dong administration unit districts in metropolitan area. Otherwise, O-D trip data was built by bigger size of traffic analysis zone(TAZ) such as Si, Gun, Gu administration unit districts for rural area. In some cases, it is needed to divide a zone into several sub-zones for rural area in order to analyze travel distribution pattern in detail for a certain highway and rail project. The study suggested a method to estimate O-D trips for sub-zones in the larger-size zones in rural area. Two different distribution models, direct demand model and gravity model, were calibrated for sub-zone's intra-zonal O-D trip pattern with metropolitan area O-D data which has smaller zone-size (sub-zone) data categorized by low, middle and high population density. The calibration results were compared between the two models. The gravity model with impedance function of power functional form was selected with better explanation for all groups in the metropolitan area. The adjusted $R^2$ was 0.7426, 0.6456 and 0.7194 for low, middle and high population density group, respectively. The suggested O-D trip estimating method is expected to produce enhanced trip patterns with sub-divided small zones.

Development of Economical Run Model for Electric Railway Vehicle (전기철도차량 경제운전 모형 개발)

  • Lee Tae-Hyung;Hang Hee-Soo
    • Journal of the Korean Society for Railway
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    • v.9 no.1 s.32
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    • pp.76-80
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    • 2006
  • The Optimization has been performed to search an economical running pattern in the view point of trip time and energy consumption. Fuzzy control model have been applied to build the meta-model. To identify the structure and its parameters of a fuzzy model, fuzzy c-means clustering method and differential evolutionary scheme are utilized, respectively. As a result, two meta-models for trip time and energy consumption were constructed. The optimization to search an economical running pattern was achieved by differential evolutionary scheme. The result shows that the proposed methodology is very efficient and conveniently applicable to the operation of railway system.

Development of Economical Run Model for High Speed Rolling stock 350 experimental (한국형 고속열차 경계운전 모형 개발)

  • Lee, Tae-Hyung;Park, Choon-Soo
    • Proceedings of the KIEE Conference
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    • 2005.10c
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    • pp.238-240
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    • 2005
  • The Optimization has been performed to search an economical running pattern in the view point of trip time and energy consumption. Fuzzy control model have been applied to build the meta-model. To identify the structure and its parameters of a fuzzy model, fuzzy c-means clustering method and differential evolutionary scheme are utilized, respectively. As a result, two meta-models for trip time and energy consumption were constructed. The optimization to search an economical running pattern was achieved by differential evolutionary scheme. The result shows that the proposed methodology is very efficient and conveniently applicable to the operation of railway system.

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Optimal Economical Running Patterns Based on Fuzzy Model (철도차량을 위한 퍼지모델기반 최적 경제운전 패턴 개발)

  • Lee, Tae-Hyung;Hwang, Hee-Soo
    • Journal of the Korean Institute of Intelligent Systems
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    • v.16 no.5
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    • pp.594-600
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    • 2006
  • The optimization has been performed to search an economical running pattern in the view point of trip time and energy consumption. Fuzzy control model has been applied to build the meta-model. To identify the structure and its parameters of a fuzzy model, fuzzy c-means clustering method and differential evolutionary scheme ate utilized, respectively. As a result, two meta-models for trip time and energy consumption are constructed. The optimization to search an economical running pattern is achieved by differential evolutionary scheme. The result shows that the proposed methodology is very efficient and conveniently applicable to the operation of railway system.

An Analysis of Trip Chain of Freight Travel using Sequence Alignment Methods (Sequence Alignment 기법을 활용한 화물 통행의 Trip Chain 분석)

  • Joh, Chang-Hyeon
    • Journal of the Economic Geographical Society of Korea
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    • v.14 no.4
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    • pp.540-552
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    • 2011
  • Freight travel pattern has been less studied comparing with the field of passenger travel. Nonetheless, the importance of the freight travel has been increasing in urban travel sector, and the research needs on the freight travel demand hence is increasing. The current paper aims to identify, by tons of freight trucks and cargos, the characteristics of mean travel pattern, efficiency or performance, and the characteristics of freight trip chain regarding destination location, destination type and freight type. The study analyzed the nation-wide data of freight travel behavior survey. This study intended to set the starting framework of decision-making principle in freight travel, which has already been popular in passenger travel study. Findings suggest that those characteristics are clearly distinguished among trucks and cargos of different sizes of tons. The results are expected to provide important insight to the development of relevant transportation policy measures.

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Power-Saving Mechanism Considering Round-Trip Delay in LTE Systems (LTE 시스템에서 양방향 지연을 고려한 전력절감 방식)

  • Choi, Hyun-Ho
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38A no.12
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    • pp.1045-1053
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    • 2013
  • In this paper, we propose a new power-saving mechanism (PSM) for Long-Term Evolution (LTE) systems by considering a round-trip delay between a user equipment (UE) and its correspondence node. The proposed PSM changes the order of the operational procedures of the legacy LTE PSM by taking the traffic arrival pattern suffering the round-trip delay into account. After modeling the round-trip delay, we numerically analyze the proposed PSM with respect to energy consumption and buffering delay. Then, we characterize these performances by employing a simple energy-delay tradeoff (EDT) curve according to the operational parameters. The resulting EDT curve clearly shows that the proposed PSM outperforms the legacy LTE PSM in terms of both the energy consumption and buffering delay.

Application of Multi-Agent Transport Simulation for Urban Road Network Operation in Incident Case (유고상황 시 MatSIM을 활용한 도시부 도로네트워크 운영 분석)

  • Kim, Joo-Young;Yu, Yeon-Seung;Lee, Seung-Jae;Hu, Hye-Jung;Sung, Jung-Gon
    • International Journal of Highway Engineering
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    • v.14 no.4
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    • pp.163-173
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    • 2012
  • PURPOSES : The purpose of this study is to check the possibilities of traffic pattern analysis using MatSIM for urban road network operation in incident case. METHODS : One of the stochastic dynamic models is MatSIM. MatSIM is a transportation simulation tool based on stochastic dynamic model and activity based model. It is an open source software developed by IVT, ETH zurich, Switzerland. In MatSIM, various scenario comparison analyses are possible and analyses results are expressed using the visualizer which shows individual vehicle movements and traffic patterns. In this study, trip distribution in 24-hour, traffic volume, and travel speed using MatSIM are similar to those of measured values. Therefore, results of MatSIM are reasonable comparing with measured values. Traffic patterns are changed according to incident from change of individual behavior. RESULTS : The simulation results and the actual measured values are similar. The simulation results show reasonable ranges which can be used for traffic pattern analysis. CONCLUSIONS : The change of traffic pattern including trip distribution, traffic volumes and speeds according to various incident scenarios can be used for traffic control policy decision to provide effective operation of urban road network.

Velocity Pattern Generation for the Position Control Elevator (엘리베이터 위치제어를 위한 속도패턴 발생)

  • 김경서;박창훈;강기호;한권상
    • The Transactions of the Korean Institute of Power Electronics
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    • v.4 no.6
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    • pp.616-623
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    • 1999
  • Elevator velocity pattern is basL'C! on combining the time-based velocity pattern according to which the car m trip from starting position to vicinity of target position, and distance-based velocity pattern for precise landing ( of car. To obtain the lide comfortability, the impact caused by velocity pattern switching should be minimizLD b by removing the discontinuity of velocity and acceleration. In this paper, new velocity pattern generation m method which ensure the continuity of velocity and acceleration during pattern switching is proposed. P ProPOSLD velocity pattern also shorten the landing time to the target position.

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