• Title/Summary/Keyword: Travel Planning

Search Result 273, Processing Time 0.035 seconds

A study on the variable structure control method including robot operational condition (로보트 운용조건을 포함한 가변구조 제어방식에 관한 연구)

  • 이홍규;이범희;최계근
    • 제어로봇시스템학회:학술대회논문집
    • /
    • 1988.10a
    • /
    • pp.72-75
    • /
    • 1988
  • Due to the fact that the set point regulation scheme by the variable structure control method concerns only the initial and final locations of a manipulator, many constraints may exist in the application of path tracking with obstracle avoidance. The variable structure parameter should be selected in the trajectory planning step by satisfying the constraints of the travel time and the path deviations This paper presents the selection algorithm of the variable structure parameters with the constraints of the system dynamics and the travel time and the path deviation. This study makes unify the trajectory planning and tracking control using the variable structure control method.

  • PDF

Leveraging Visibility-Based Rewards in DRL-based Worker Travel Path Simulation for Improving the Learning Performance

  • Kim, Minguk;Kim, Tae Wan
    • Korean Journal of Construction Engineering and Management
    • /
    • v.24 no.5
    • /
    • pp.73-82
    • /
    • 2023
  • Optimization of Construction Site Layout Planning (CSLP) heavily relies on workers' travel paths. However, traditional path generation approaches predominantly focus on the shortest path, often neglecting critical variables such as individual wayfinding tendencies, the spatial arrangement of site objects, and potential hazards. These oversights can lead to compromised path simulations, resulting in less reliable site layout plans. While Deep Reinforcement Learning (DRL) has been proposed as a potential alternative to address these issues, it has shown limitations. Despite presenting more realistic travel paths by considering these variables, DRL often struggles with efficiency in complex environments, leading to extended learning times and potential failures. To overcome these challenges, this study introduces a refined model that enhances spatial navigation capabilities and learning performance by integrating workers' visibility into the reward functions. The proposed model demonstrated a 12.47% increase in the pathfinding success rate and notable improvements in the other two performance measures compared to the existing DRL framework. The adoption of this model could greatly enhance the reliability of the results, ultimately improving site operational efficiency and safety management such as by reducing site congestion and accidents. Future research could expand this study by simulating travel paths in dynamic, multi-agent environments that represent different stages of construction.

Quantifying Rail Travel Demand Changes using Observed Transport Data (수송실적자료를 이용한 철도교통 수요변화 추정 연구)

  • Eom, Jin-Ki;Heo, Tae-Young
    • Journal of the Korean Society for Railway
    • /
    • v.12 no.3
    • /
    • pp.420-426
    • /
    • 2009
  • Although the amount of travel demand is a critical factor in a benefit-cost (B/C) analysis of railway investment, the travel demand changes especially for induced demand have not been considered. Therefore, the basic study of how to estimate travel demand changes after railway investment is worth investigating. This study reviews the methodologies for estimating diverted and induced demand generated after railway investment, and proposes appropriate approaches that will help railway planners to practically apply them in a case study. Further, the research stimulates the needs of consideration of the travel demand changes in the feasibility studies of railway planning.

Comparisonal Analysis of Path Planning Methods for Automatic Parking Control of a Car-Like Mobile Robot (자동주차를 위한 차량형 자율주행 로봇에 적합한 경로계획법의 비교분석)

  • Kwon, Hyun-Ki;Chung, Woo-Jin
    • Journal of Institute of Control, Robotics and Systems
    • /
    • v.18 no.3
    • /
    • pp.267-274
    • /
    • 2012
  • We proposed the KPP (Korea university Path Planner) in our previous works. The KPP is the path planning scheme of a car-like mobile robot in parking environment. The objective of this paper is to investigate the advantage of the KPP through the quantitative and qualitative analysis compared with conventional RRT. For comparison, we proposed travel time for performance index. This paper shows that the KPP shows outstanding performances from the viewpoint of travel time and computational efficiency compared with RRT.

Influence of Self-Construal on Choice of Overseas Travel Product Type

  • KIM, Young-Doo
    • The Journal of Industrial Distribution & Business
    • /
    • v.11 no.1
    • /
    • pp.29-38
    • /
    • 2020
  • Purpose: Understanding which product types of overseas travel (free independent travel vs. package travel) consumers will choose is one of the key issues of marketing and consumer behavior in travel agency management. Prior studies on overseas travel type preferences mainly focused on comparing regional differences (e.g., Asian vs. Westerner, or Korean vs. Australian, or Korean vs. Japanese, or American, French, Italian vs. Japanese) influencing the choice of overseas travel type. Another researchers focused on comparing cultural differences (e.g., individualism vs. collectivism, or individualistic culture vs. collectivistic culture), subcultural difference (e.g., acculturation; Koreans living in Republic of Korea vs. Koreans living in Australia), travel lifestyle, and socio-demographics (e.g., age, gender, income level, education level, marital status, occupation etc.). However, there are few studies that identify individual psychological differences (i.e., individual psychological differences within the same culture) influencing the choice of overseas travel type. Self-construal is a psychological factors that greatly influences choice behavior. The purpose of this study was to examine the role of self-construal as an antecedent variable influencing choice of overseas travel product type. Research design, data and methodology: To achieve the purpose of this study, the questionnaire survey method was used. Self-construal items composed of independent self-construal items and interdependent self-construal items. Product types of overseas travel were free independent travel (FIT) type versus package travel type. In this study, the correlation coefficient between independent self-construal and interdependent self-construal was nonsignificant. It meant that the relationship between independent self-construal and interdependent self-construal was orthogonal. Therefore it was analyzed that independent self-construal and interdependent self-construal separately. Reliability analysis, factor analysis, and logistic regression analysis (controlling gender and age) was used as the data analysis method. Results: According to the results of this study, the stronger independent self-construal, the more preference for the free independent travel type rather than package travel, and the stronger interdependent self-construal, the more preference for the package travel type rather than free independent travel. Conclusions: Self-construal is an antecedent variable influencing the choice of travel type. Travel agencies must consider the consumer's self-construal (independent self-construal vs. interdependent self-construal) before planning and designing overseas travel products.

Travel Behavior Analysis for Short-term Railroad Passenger Demand Forecasting in KTX (KTX 단기수요 예측을 위한 통행행태 분석)

  • Kim, Han-Soo;Yun, Dong-Hee
    • Proceedings of the KSR Conference
    • /
    • 2011.05a
    • /
    • pp.1282-1289
    • /
    • 2011
  • The rail passenger demand for the railroad operations required a short-term demand rather than a long-term demand. The rail passenger demand can be classified according to the purpose. First, the rail passenger demand will be use to the restructure of line planning on the current operating line. Second, the rail passenger demand will be use to the line planning on the new line and purchasing the train vehicles. The objective of study is to analyze the travel behavior of rail passenger for modeling of short-term demand forecasting. The scope of research is the passenger of KTX. The travel behavior was analyzed the daily trips, origin/destination trips for KTX passenger using the ANOVA and the clustering analysis. The results of analysis provide the directions of the short-term demand forecasting model.

  • PDF

Measuring Recreational Benefits of Chilgap Reservoir Using TCM (TCM을 이용한 칠갑저수지의 레크리에이션 편익 분석)

  • Hong, Seungjee;Kim, Dae-Sik
    • Journal of Korean Society of Rural Planning
    • /
    • v.22 no.3
    • /
    • pp.97-106
    • /
    • 2016
  • The study attempts to estimate the recreational benefits of Chilgap multi-purpose reservoir using the on-site survey sample of 130 visitors. The individual travel cost method is used for measuring the recreational benefits of Chilgap multi-purpose reservoir and a zero-truncated negative binomial model is used to elicit the travel demand function. The price elasticities of visit demand are ranged from 0.29 to 0.39. Recreational benefits are ranged from 119 to 156 thousand won per visit and are ranged from 292 to 383 thousand won per annual. When the number of annual visitors to Chilgap reservoir is appled, then the recreational benefits are ranged from 2.7 to 3.6 billion won. This study could contribute to the advancement of post-construction evaluation in the public construction field similar to Chilgap reservoir.

The Social Value of Ham-Pyung Butterfly Festival - Through the Travel Cost Method - (함평나비(대)축제의 사회적 가치 - 여행비용접근법을 바탕으로 -)

  • Lee, Kyoung-Jin;Song, Myung-Gyu
    • Journal of Environmental Impact Assessment
    • /
    • v.22 no.4
    • /
    • pp.291-302
    • /
    • 2013
  • The aim of this study is to assess the social value of Ham-Pyung Butterfly Festival in the year of 2011. The tool for the assesment is the zonal travel cost method. The result of the study can be summed up as follows; First, the average individual consumer's surplus measures approximately from 29,700 to 30,100 Won. Second, the total consumer's surplus, that is the social value of the festival, ranges approximately from 7.6 to 7.7 billion Won. The most beneficiary of the event is turned up to be the people who are living in the outside of Ham-Pyung and go on a tour there. For that reason, the central government looks to have the obligation to support and to sponsor the festival.

Analysis of Spatial Structures and Central Places of Gwangju and Jeonnam Region using Social Network Analysis (사회네트워크 분석을 이용한 광주 전남지역의 공간 구조 변화 및 중심지 분석)

  • Lee, Jimin
    • Journal of Korean Society of Rural Planning
    • /
    • v.23 no.2
    • /
    • pp.43-54
    • /
    • 2017
  • When an age of low growth and population decline, population migration plays an important role in spatial structure of region. There have been many researches on migration and regional spatial structure. The purpose of this study is to examine the changes of Gwangju and Jeonnam region's spatial structure and central area using social network analysis methods. For analysis it was used that population and migration data and passenger OD(Origin and Destination) travel data released by Statistics Korea and Korea Transport Database(KTDB). Using Gephi 0.8.2, migration and passenger OD networks were visualized, and this describe network flow and density. The results of the network centrality analysis show that the most populated village is not always network center though population mass is an important factor of central places. The average eigenvector centrality of 2010 migration is the lowest during 2005-2015, and it means few regions have high centralities. When comparing migration and travel networks, travel data is more effective than migration data in determining the central location considering spatial functions.

Methodology for Estimation of Link Travel Time using Density-based Disaggregated Approach (밀도기반 비집계 접근법을 이용한 구간통행시간 추정 방법론)

  • Chang, Hyunho;Lee, Soong-bong;Han, Donghee;Lee, Young-Ihn
    • The Journal of The Korea Institute of Intelligent Transport Systems
    • /
    • v.16 no.5
    • /
    • pp.134-143
    • /
    • 2017
  • In the case of highway, there may be a large number of travel time groups when there are a bus exclusive lane, a rest area, a sleeping shelter, etc. in the corresponding section. In most of the conventional travel time estimation studies, one representative travel time (assuming normal distribution) group is assumed in the low sample collection state, and if it is out of the specified range, it is determined as outliers and then the travel time is estimated. However, if there is a bus exclusive lane, a rest area, or a sleeping shelter in the relevant section, such as the highway, the distribution of travel time will be in the form of a bi-modal or a multi-modal, rather than a regular distribution. Therefore, applying the existing estimation methodology may result in distorted results. To solve this problem, first, it should be reliable even in the case of insufficient number of samples. Second, we propose a methodology to select the representative time group among a number of time groups and to estimate the representative time using individual time data of the selected time group.