• Title/Summary/Keyword: departure time based

Search Result 125, Processing Time 0.031 seconds

Utilizing Usability Metrics to Evaluate a Subway Map Design

  • Jung, Kwang Tae
    • Journal of the Ergonomics Society of Korea
    • /
    • v.36 no.4
    • /
    • pp.343-353
    • /
    • 2017
  • Objective: This study aims to evaluate the efficiency of two representative subway map design types, namely a diagram type and a geographical type using physiological metrics, performance metrics, and self-reported metrics, which are representative usability metrics. Background: Subway maps need to be designed in order for users to quickly search and recognize subway line information. Although most cities' subway maps currently use the diagram type designed by Henry Beck, New York City's subway map has recently been changed to the subway map type combined with the geographical type designed by Michael Hertz. However, not many studies on its efficiency are found, and the studies that are available mainly depend on questionnaire surveys or take on a subjective behavioral study type based on experts' experiences. In this regard, evaluation through a more objective method is needed. Method: This study employed usability metrics as a method to evaluate the efficiency of information search targeting the diagram type and geographical type subway maps used mostly as subway maps. To this end, physiological metrics obtained through eye tracking, task completion time, representative metric of task performance, and subjective evaluation metrics were used for the suitability evaluation of subway map designs. Results: In the result of gaze movement distance analysis, no significant difference was shown in the two design types in terms of a process finding a departure station from the starting point and a process finding a transfer station between the departure station and arrival station (destination). However, the gaze movement distance in the process finding the arrival station at the departure station was significantly shorter in the geographical type, rather than in the diagram type. The analysis of task completion time showed a result similar to the gaze movement distance analysis result. Task completion time was significantly shorter in the geographical type, rather than in the diagram type, which is in the process finding the arrival station at the departure station. In other information search processes, no significant difference was shown. As a result of subjective evaluation metrics analysis, no significant difference was revealed in the two design types. Conclusion: An analysis on the two representative subway map design types was carried out via the adoption of usability metrics. As a result, although no significant difference was shown in some information search processes, it was revealed that information search was easier in the geographical type overall. Also, it was found that usability metrics can be effectively used to evaluate the design types of subway maps. Application: The study results can be used to set design direction to offer ease in information search on subway lines. The study also can be used as a method to evaluate a subway map's design type.

A Methodology for Estimating Large Scale Dynamic O/D of Commuter Working Trip (대규모 동적 O/D 생성을 위한 추정 방법론 연구: 첨두 출근통행을 기준으로)

  • HAN, He;HONG, Kiman;KIM, Taegyun;WHANG, Junmun;HONG, Young Suk;CHO, Joong Rae
    • Journal of Korean Society of Transportation
    • /
    • v.36 no.3
    • /
    • pp.203-215
    • /
    • 2018
  • This study suggests a method to construct large scale dynamic O/D reflecting the characteristic that the passengers' travel patterns change according to the land use patterns of the destination. There are limitations in the existing research about dynamic O/D estimation method, such as the difficulty of collecting data, which can be applied only to a small area, or limiting to a specific transportation network such as highway networks or public transportation networks. In this paper, we propose a method to estimate dynamic O/D without limitation of analysis area based on transportation resources that can be easily collected and used according to the big data era. Clustering analysis was used to calculate the departure time trip distribution ratio based on arrival time and departure time trip distribution function was estimated by each cluster. As a result of the comparison test with the survey data, the estimated distribution function was statistically significant.

A Design of Peer-to-Peer Based IPTV System using Multiple Chain Architecture (다중 체인구조를 이용한 Peer-to-Peer 기반 IPTV 시스템 설계)

  • Kim, Ji-Hoon;Kim, Young-Han
    • Journal of the Institute of Electronics Engineers of Korea TC
    • /
    • v.45 no.12
    • /
    • pp.74-82
    • /
    • 2008
  • In this paper, we propose a P2P based IPTV system using a multiple chain architecture. Proposed system is robust to the peer churn. As opposed to the internet the IPTV network managed by a single ISP has fewer bandwidth constraints and end-to-end connectivity. So, we emphasize preferentially robustness of a P2P network in IPTV environment. A single chain structure which was proposed previously emphasizes simplicity, however there exists considerable delay time at the end part of peers as the number of peers increasing. As a solution to the problem, we propose the scheme which seperates the chain into several levels and again divides each level into spans to diminish a delay time. Though the chain is separated into level and span, basic structure of proposed scheme is still a chain structure. So the scheme simplifies the recovery procedure caused by join or departure of peers. We will show the improved performance of proposed scheme rather than single chain structure with respect to the delay time and reliability.

Long-term Prediction of Bus Travel Time Using Bus Information System Data (BIS 자료를 이용한 중장기 버스 통행시간 예측)

  • LEE, Jooyoung;Gu, Eunmo;KIM, Hyungjoo;JANG, Kitae
    • Journal of Korean Society of Transportation
    • /
    • v.35 no.4
    • /
    • pp.348-359
    • /
    • 2017
  • Recently, various public transportation activation policies are being implemented in order to mitigate traffic congestion in metropolitan areas. Especially in the metropolitan area, the bus information system has been introduced to provide information on the current location of the bus and the estimated arrival time. However, it is difficult to predict the travel time due to repetitive traffic congestion in buses passing through complex urban areas due to repetitive traffic congestion and bus bunching. The previous bus travel time study has difficulties in providing information on route travel time of bus users and information on long-term travel time due to short-term travel time prediction based on the data-driven method. In this study, the path based long-term bus travel time prediction methodology is studied. For this purpose, the training data is composed of 2015 bus travel information and the 2016 data are composed of verification data. We analyze bus travel information and factors affecting bus travel time were classified into departure time, day of week, and weather factors. These factors were used into clusters with similar patterns using self organizing map. Based on the derived clusters, the reference table for bus travel time by day and departure time for sunny and rainy days were constructed. The accuracy of bus travel time derived from this study was verified using the verification data. It is expected that the prediction algorithm of this paper could overcome the limitation of the existing intuitive and empirical approach, and it is possible to improve bus user satisfaction and to establish flexible public transportation policy by improving prediction accuracy.

An Optimization Model for Minimizing Transfer Time (도시철도 환승시간 최소화를 위한 최적화 모형)

  • Sohn, Moo-Sung;Kim, Kwang-Tae;Kim, Se-Won;Oh, Suk-Mun
    • Proceedings of the KSR Conference
    • /
    • 2011.10a
    • /
    • pp.1722-1729
    • /
    • 2011
  • This paper presents an optimization model for revising train timetable based on an existing timetable to improve transfer time at each station. The transfer time consists of walking and waiting time. The model is formulated as a mixed integer programming. The objective function is to minimize the transfer time from one train to another train at each station. To reflect real situations, range of revising departure time is considered as major condition in the model. To validate the effectiveness of the model, rudimentary computational results are included, and the results are analyzed in terms of transfer time.

  • PDF

A Study on Simulation-based Method for Implementation of Ground Delay Program for Jeju International Airport (시뮬레이션 기반의 지상지연 프로그램 적용방안에 관한 연구 - 제주국제공항을 사례로 -)

  • Lee, Young-Jong;Cho, Ji-Eun;Baik, Ho-Jong
    • Journal of the Korean Society for Aviation and Aeronautics
    • /
    • v.23 no.1
    • /
    • pp.41-48
    • /
    • 2015
  • Being a cost-efficient solution for alleviating the traffic congestion in airspace, Air Traffic Flow Management (ATFM) has drawn more attentions from not only air traffic controllers but also researchers in the field of Air Traffic Management (ATM). Among other ATFM initiatives, it is believed that Ground Delay Program (GDP) could be effectively applied to reduce the congestion particularly in the relatively small airspace with dense traffic demand. This paper introduces a novel way that suggests flights to be delayed on the departing airports together with amount of the delays (in time) for those flights to be delayed. Adopting a fast-time simulation for predicting airspace delay of each flight for a given flight plan, the method is designed to iteratively and incrementally adjust the departure times in the plan towards reducing total airspace delays. Applying the method to Jeju airport with a hypothetically high demand, the paper demonstrates the airspace delay could be significantly reduced by applying GDP at Gimpo airport where more than 60% of Juju-bound flights departure. Although the simulation model needs to be calibrated and validated for the real-world application, the results clearly shows that the approach can possibly implemented as a tool for preparing the daily plan at the pre-tactical stage defined in the ICAO ATFM manual.

A Mechanistic Model for Forced Convective Transition Boiling of Subcooled Water in Vertical Tubes (수직관내 미포화수의 강제대류 천이비등에 대한 역학적 모델)

  • Lee, Kwang-Won;Baik, Se-Jun;Han, Sang-Good;Joo, Kyung-Oin;Yang, Jae-Young
    • Nuclear Engineering and Technology
    • /
    • v.27 no.4
    • /
    • pp.503-517
    • /
    • 1995
  • A mechanistic model for forced convective transition boiling has been developed to predict transition boiling heat flux realistically. This model is based on a postulated multi­stage boiling process occurring during the passage time of an elongated vapor blanket specified at a critical heat flux condition. Between the departure from nucleate boiling (DNB) and the departure from film boiling (DFB) points, the boiling heat transfer is established through three boiling stages, namely, the macrolayer evaporation and dryout governed by nucleate boiling in a thin liquid film and the unstable film boiling. The total heat transfer rate during the transition boiling is the sum of the heat transfer rates after the DNB weighted by the time fractions of each stage, which are defined as the ratio of each stage duration to the vapor blanket passage time. The model predictions are compared with some available experimental transition boiling data. From these comparisons, it can be seen that the transition boiling heat fluxes including the maximum heat flux and the minimum film boiling heat flux are nil predicted at low qualities/high pressures near 10 bar.

  • PDF

Prediction of Ship Travel Time in Harbour using 1D-Convolutional Neural Network (1D-CNN을 이용한 항만내 선박 이동시간 예측)

  • Sang-Lok Yoo;Kwang-Il Ki;Cho-Young Jung
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
    • /
    • 2022.06a
    • /
    • pp.275-276
    • /
    • 2022
  • VTS operators instruct ships to wait for entry and departure to sail in one-way to prevent ship collision accidents in ports with narrow routes. Currently, the instructions are not based on scientific and statistical data. As a result, there is a significant deviation depending on the individual capability of the VTS operators. Accordingly, this study built a 1d-convolutional neural network model by collecting ship and weather data to predict the exact travel time for ship entry/departure waiting for instructions in the port. It was confirmed that the proposed model was improved by more than 4.5% compared to other ensemble machine learning models. Through this study, it is possible to predict the time required to enter and depart a vessel in various situations, so it is expected that the VTS operators will help provide accurate information to the vessel and determine the waiting order.

  • PDF

An Ethnographic Study on a Welfare Facility for Single Father Families: Focusing on the Experiences of Single Fathers (부자가족복지시설에 대한 문화기술지 연구: 부자가족아버지의 경험을 중심으로)

  • Kim, Gihwa;Yang, Sungeun
    • Journal of Families and Better Life
    • /
    • v.33 no.6
    • /
    • pp.15-33
    • /
    • 2015
  • The present study conducted ethnography of a welfare facility for single-father families. The participants were 13 single-fathers living in a welfare facility. To explore life within the welfare facility, the qualitative research method of ethnography was used with Spradley's developmental research sequence (DRS). The major results of this study were as follows. The first theme was 'finding a way to overcome the crisis: the facility is a lifeline.' For fathers, choosing to enter a facility meant enduring a social stigma, but the decision was made with the hope of achieving successful parenting and economic independence amidst pressing difficulties. The category of living in the facility was represented by the theme 'build the family: preparing for independence through living in a welfare facility.' The fathers achieved psychological recovery through the decrease in parenting stress, improvements in their economic situation brought by living in a facility, and used this time as the foundation to gain independence and build a stable life. The event of departure from the facility was seen as 'incomplete preparation for departure' by the single fathers. The fathers with infants or younger children admitted to being anxious about leaving the facility, which involved the burden of raising the children on their own. There are practical and policy-related implications based on the results of this study.

A Study on DGPS/GIS-based Vehicle Control for Safe Driving (안전주행을 위한 DGPS/GIS 기반의 차량제어 연구)

  • Lee, Kwanghee;Bak, Jeong-Hyeon;Lee, Chul-Hee
    • Transactions of the Korean Society of Automotive Engineers
    • /
    • v.21 no.5
    • /
    • pp.54-58
    • /
    • 2013
  • In recent days, vehicles have become equipped with electric systems that assist and help drivers driving safe by reducing possible accidents. LDWS(Lane Departure Warning System) and LKAS(Lane Keeping Assistant System) are involved in assist systems, especially for lateral motion of vehicles. Sudden and inattentive lateral motion of vehicles due to drivers' fatigue, illness, inattention, and drowsiness are major causes of accidents in highway. LDWS and LKAS provide drivers with warnings or assisting power to reduce any possibilities of accidents. In order to prevent or minimize the possibilities of accidents, lateral motion control of vehicles has been introduced in this research. DGPS/RTK(Differential Global Positioning System/Real Time Kinematics) and GIS(Geographic Information System) have been used to obtain the current position of vehicles and decide when activate controlling lateral motion of vehicles. The presented lateral motion control has been validated with actual vehicle tests.