• 경영과학
• /
• 제21권3호
• /
• pp.39-54
• /
• 2004

This paper presents a multi-agent system for intelligent recommendation of travel plans to users. The goal of the system is to provide alternative and preferable travel plans to users when the availability of tickets is low such as in vacations, holidays, weekends, or peak seasons. The multiple agents in the system search for available alternatives for a target travel in collaboration with other agents and recommend best alternatives by analyzing them using a multi-criteria decision-making model. A prototype online travel support system was constructed and a simulation experiment was performed for evaluation and comparison with different travel planning strategies.

• 한국재난정보학회 논문집
• /
• 제20권2호
• /
• pp.257-269
• /
• 2024

Purpose: The purpose of this study is to explain the pivotal role of the travel forecasting process in urban transportation planning. This study emphasizes the use of travel forecasting models to anticipate future traffic. Method: This study examines the methodology used in urban travel demand modeling within transportation planning, specifically focusing on the Urban Transportation Modeling System (UTMS). UTMS is designed to predict various aspects of urban transportation, including quantities, temporal patterns, origin-destination pairs, modal preferences, and optimal routes in metropolitan areas. By analyzing UTMS and its operational framework, this research aims to enhance an understanding of contemporary urban travel demand modeling practices and their implications for transportation planning and urban mobility management. Result: The result of this study provides a nuanced understanding of travel dynamics, emphasizing the influence of variables such as average income, household size, and vehicle ownership on travel patterns. Furthermore, the attraction model highlights specific areas of significance, elucidating the role of retail locations, non-retail areas, and other locales in shaping the observed dynamics of transportation. Conclusion: The study methodically addressed urban travel dynamics in a four-ward area, employing a comprehensive modeling approach involving trip generation, attraction, distribution, modal split, and assignment. The findings, such as the prevalence of motorbikes as the primary mode of transportation and the impact of adjusted traffic patterns on reduced travel times, offer valuable insights for urban planners and policymakers in optimizing transportation networks. These insights can inform strategic decisions to enhance efficiency and sustainability in urban mobility planning.

• 한국ITS학회 논문지
• /
• 제20권1호
• /
• pp.22-39
• /
• 2021

본 연구에서는 공유 전동킥보드가 운영되고 있는 1기·2기 신도시 지역주민을 대상으로 SP조사를 수행하여 광역교통수단의 접근통행과 생활권통행의 공유 전동킥보드를 고려한 수단선택모형을 추정하였다. 연구결과 두 모형에서 공통적으로 통행시간과 통행비용이 음의 계수를 가지는 것으로 나타났으며 접근통행은 통행시간에, 생활권통행은 통행비용에 보다 민감한 것으로 분석되었다. 개인속성 및 가구속성에 따른 공유 전동킥보드 이용선호도를 살펴보면 40세 이하, 자전거 소유, 주로 이용하는 수단이 대중교통인 경우 긍정적인 영향을 보인 반면, 가구 월소득 300만원 미만, 개인 승용차 보유는 이용선호도에 부정적인 영향을 미치는 것으로 나타났다.

• 토지주택연구
• /
• 제13권1호
• /
• pp.85-98
• /
• 2022

통행을 포착할 수 있는 자료가 양적으로 방대해지며 가구통행실태조사와 같은 전통적 교통조사에 대한 무용론이 제기되고 있다. 그러나 통행의 목적과 수단을 파악할 수 있는 등 가구통행실태조사는 그 중요성이 여전하다. 이에 본 연구는 국내외 교통조사 사례 및 관련 문헌을 검토하여 가구통행실태조사의 현황을 파악하고 개선방안을 논의한다. 본 연구는 가구통행실태조사가 직면한 한계점 중 긴 조사주기, 짧은 조사기간, 유효표출률의 감소, 의무통행 중심의 문항 구성에 대해 다룬다. 이에 대한 개선방안으로 조사주기 단축, 연중조사 시행, 주중조사와 주말조사의 병행 시행, 주말통행 관련 항목 세분화 등을 제안한다. 본 연구는 교통분야 외에 관광, 보건, 사회 등의 분야에서도 응용할 수 있도록 확장성을 감안하며, 제약된 예산 하에서 현실적인 개선방안을 고려한다는 데에 의의가 있다.

• 한국항해항만학회지
• /
• 제40권2호
• /
• pp.51-56
• /
• 2016

Expressways mean the primary arterial highways with a high level of efficiency and safety. However, Gyeongbu and Namhae expressways connected with Busan ports are showing travel time delay by increased traffic including the medium/large-sized vehicles of about 20% compared to those of about 13% regardless of the peak periods. This study, thus, intends to analyze lane traffic characteristics in the basic 8-lane segments of the above-mentioned expressways, compute the planning and buffer times based on travel time reliability, find the lane speed showing a higher correlation with planning time between the lane speeds in the basic 8-lane segments, and finally suggest a correlation model for predicting the planning time in expressways.

• Structural Engineering and Mechanics
• /
• 제88권4호
• /
• pp.323-334
• /
• 2023

The submerged floating tunnel (SFT) infrastructure has been regarded as an emerging technology that efficiently and safely connects land and islands. The SFT route problem is an essential part of the SFT planning and design phase, with significant impacts on the surrounding environment. This study aims to develop an optimization model considering transportation and structure factors. The SFT routing problem was optimized based on two objective functions, i.e., minimizing total travel time and cumulative strains, using NSGA-II. The proposed model was applied to the section from Mokpo to Jeju Island using road network and wave observation data. As a result of the proposed model, a Pareto optimum curve was obtained, showing a negative correlation between the total travel time and cumulative strain. Based on the inflection points on the Pareto optimum curve, four optimal SFT routes were selected and compared to identify the pros and cons. The travel time savings of the four selected alternatives were estimated to range from 9.9% to 10.5% compared to the non-implemented scenario. In terms of demand, there was a substantial shift in the number of travel and freight trips from airways to railways and roadways. Cumulative strain, calculated based on SFT distance, support structure, and wave energy, was found to be low when the route passed through small islands. The proposed model helps decision-making in the planning and design phases of SFT projects, ultimately contributing to the progress of a safe, efficient, and sustainable SFT infrastructure.

• 드라이브 ㆍ 컨트롤
• /
• 제21권1호
• /
• pp.46-52
• /
• 2024

The advancement of autonomous driving technology has heightened the importance of Autonomous Mobile Robotics (AMR) within smart factories. Notably, in tasks involving the transportation of heavy objects, the consideration of weight in route optimization and path planning has become crucial. There is ongoing research on local path planning, such as Dijkstra, A^*, and RRT^*, focusing on minimizing travel time and distance within smart factory warehouses. Additionally, there are ongoing simultaneous studies on route optimization, including TSP algorithms for various path explorations and on minimizing energy consumption in mobile robotics operations. However, previous studies have often overlooked the weight of the objects being transported, emphasizing only minimal travel time or distance. Therefore, this research proposes route planning that accounts for the maximum payload capacity of mobile robotics and offers load-optimized path planning for multi-destination transportation. Considering the load, a genetic algorithm with the objectives of minimizing both travel time and distance, as well as energy consumption is employed. This approach is expected to enhance the efficiency of mobility within smart factories.

• 한국ITS학회 논문지
• /
• 제21권1호
• /
• pp.1-16
• /
• 2022

최근 환경에 대한 관심이 커지면서 전동킥보드는 도시 내 친환경 교통수단으로써 주목받고 있다. 이에 따라 실질적 이용행태 및 이용목적에 대한 다양한 연구가 실시되고 있으나, 개인의 통행성향을 반영한 이용의향에 대한 연구는 미비한 실정이다. 따라서, 본 연구에서는 서울시 통근자를 대상으로 실시한 설문조사를 활용하여 요인분석을 통해 응답자의 통행성향을 분석하고, 공유 전동킥보드 이용의향에 대한 이항 로지스틱 회귀모형을 구축하여 개인의 통행행태가 어떻게 영향을 미치는지 규명하였다. 모형추정 결과, 공유 전동킥보드 이용의향에 영향을 미치는 요인으로, 연령, 주수단(승용차), 버스정류장 접근시간, 통행성향 변수(통행 비효용, 직접 운전, 인터넷/스마트폰 친화, 추가 지불 의사)가 통계적으로 유의한 것으로 분석되었다. 본 연구의 결과는 향후 공유 전동킥보드의 효율적인 운영과 이용 활성화를 위한 통행행태적 측면의 기초자료로 활용될 수 있을 것으로 기대된다.

• 한국BIM학회 논문집
• /
• 제6권2호
• /
• pp.19-28
• /
• 2016

Social costs analysis seeks to reveal the environmental effects of transportation policy. It delivers a sense of the effects of the public's daily travel and the costs that are or would be incurred from individual trips. Moreover, the accumulated total number of trips will uncover the effects of travel on society. This article shows the quantitative analysis of the economic outcomes of travel using social costs estimation methods. In order to support urban planning tasks, this research implemented analysis tool for social costs estimation by travel behavior. For a case study, a jave based application which can convert people's trip data into social costs is developed. the application used for simulating student-housing effects by estimating social costs changes. The analysis included the attributes, building scale and locational changes of the student housing as well as transforms of the students' trips.

• 한국ITS학회 논문지
• /
• 제17권1호
• /
• pp.1-16
• /
• 2018

생활패턴의 변화는 통행의 목적을 변화시키기 때문에 궁극적으로 통행패턴의 변화를 야기한다. 이에 따라 본 연구에서는 1999년부터 2014년까지 통계청에서 조사한 생활시간조사자료를 활용하여 연도별 통행시간에 영향을 미치는 요인을 분석하고자 한다. 가구관련, 개인관련, 시간관련 변수들을 고려한 통행시간에 관한 다중선형회귀모형을 구축하였으며, 요일별 차이를 보기위해 주중과 주말을 분리하여 추정하였다. 모형 추정 결과, 가구관련, 개인관련, 시간관련 변수가 통행시간에 영향을 미치는 것으로 분석되었다. 가구관련변수의 경우 개인관련변수에 비해 비교적 적은 변수들이 유의한 것으로 나타났는데, 이는 통행이 개인특성에 더 큰 영향을 받기 때문인 것으로 판단된다. 각 활동시간들은 통행시간에 양의 영향을 미치는 것으로 분석되어 통행이 파생수요임을 나타내고 있다. 또한 여가활동시간이 가장 큰 영향력이 있는 것으로 도출되어, 여가를 위한 통행시간이 타활동에 비해 증가하는 것으로 분석되었다.