• Journal of Korean Society of Transportation
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• v.27 no.1
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• pp.73-81
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• 2009

While various factors in passenger and freight demand analysis affect on destination choice, a key factor, in general. is an attractiveness measure by size variable (e.g., population. employment etc) in destination zone. In order to measure the attractiveness, some empirical studies suggested that disaggregate gravity model are more suitable than aggregate gravity model. This study proposes that truck travelers trip diary data among Korean commodity flow data could be used to estimate the behaviors of incorporating trip departure time, activity duration and attractiveness in destination. As a result, the main findings of size and distance variables coincide with the conventional gravity model having a positive effect of population variable and a negative effect of distance variable. Due to disaggregate gravity modeling, the unique findings of this study reports that small trucks are more likely to choose short distance and early morning, morning peak and afternoon peak departure time choice. On the other hand, large trucks are more likely to choose long distance and night time departure time choice.

• Journal of Korean Society of Transportation
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• v.30 no.3
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• pp.107-118
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• 2012

The purpose of the study is to analyze the travel characteristics of freight trucks in metropolitan areas, focusing on activity generation, destination choice, and trip chaining behaviors. The results showed that the number of service companies at departure areas has a primary influence on the activity generation pattern and destination choice behavior of trucks in metropolitan areas. The number of trips within a trip chain is largest, in case where the prevailing industry in destination areas is wholesale or retail and the shipment item is food or beverage. These results imply that for the reasonable estimation of truck travel demand both the trip chaining behaviors and the industrial compositions in departure and destination areas should be separately considered for each type of commodity.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.7 no.1
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• pp.10-21
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• 2008

User travel behavior is based on the existence of complete traffic information in deterministic user optimal principle by Wardrop(1952). According to deterministic user optimal principle, users choose the optimal route from origin to destination and they change their routes arbitrarily in order to minimize travel cost. In this principle, users only consider travel time as a factor to take their routes. However, user behavior is not determined by only travel time in actuality. Namely, the models that reflect only travel time as a route choice factor could give irrational travel behavior results. Therefore, the model is necessary that considers various factors including travel time, transportation networks structure and traffic information. In this research, more realistic deterministic optimal traffic assignment model is proposed in the way of route recognizance behavior. This model assumes that when users decide their routes, they consider many factors such as travel time, road condition and traffic information. In addition, route recognizance attributes is reflected in this suggested model by forward searching method and backward searching method with numerical formulas and algorithms.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.1
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• pp.245-251
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• 2016

This paper suggests a heuristic algorithm to obtain optimal solution of minimum number of aircraft delay in multi-airport arrivals/departures problem. This single airport arrivals/departures problem can be solved by mathematical optimization method only. The linear programming or genetic algorithm that is a kind of metaheuristic method is used for a multi-airport arrivals/departures problem. Firstly, the proposed algorithm selects the median minimum delays capacity in various arrivals/departures capacities at an airport for the number of aircraft in $i^{th}$ time interval (15 minutes) at each airport. Next, we suggest reallocate method for arrival aircraft between airports. This algorithm better result of the number of delayed aircraft then genetic algorithm.

• Journal of the Korea Society of Computer and Information
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• v.12 no.5
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• pp.19-27
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• 2007

We have implemented a WWW homepage which finds an optimal route for users. There already exist many web sites which provide the optimal route when a start and a destination cities are given. However, none of them can find the optimal route when a number of cities to be visited. The problem of finding the optimal route starting at a given start city and visiting through all the given intermediate cities and finally returning to the start city is called Travelling Sales Person(TSP) problem. TSP is a well known exponential time complexity problem. We have implemented an artificial intelligent search algorithm for TSP on our homepage. The main feature of our algorithm is that the destination may not be the same as the start city whereas all of the existing heuristic algorithms for TSP assume that the start and the destination cities are the same. The web page asks a user to select all the cities he or she wants to visit(including start and destination city), then it finds a sequence of the cities such that the user would travel minimum distance if he or she visits the cities in the order of the sequence. This paper presents algorithms used in the homepage.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.2
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• pp.275-280
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• 2016

In this paper, we propose a novel relay selection technique which utilizes a priori decoding information at relays for buffer-aided successive relaying networks. In the conventional relaying schemes, a single relay pair is selected for receiving data from the source and transmitting data to the destination. In the proposed technique, however, all relays except the relay selected for transmitting data to the destination try to decode the received signal from the source, and they store the data if they succeed decoding. The proposed technique selects the relay such that it can succeed its own transmission and it maximizes the number of relays successfully decoding the data from the source at the same time. It is shown that the proposed relaying technique significantly outperforms the conventional buffer-aided relaying schemes in terms of outage probability through extensive computer simulations.

• Journal of the Korean Geographical Society
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• v.44 no.3
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• pp.323-338
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• 2009

This study analyzes the changes in commuter's mode choice between 2002 and 2006 according to the implement of the integrated public transit system in Seoul metropolitan city. Especially this study focuses on differential changes in a transit modal choice among socioeconomic status, trip purpose and spatial characteristics of origin and destination. The probability of public transit use against automobile is modeled as a function of socioeconomic variables, spatial characteristics of origin and destination and the utility of the commuter's mode. The results from conditional logit model analyses suggest that people with lower income show the larger changes in the ratio of public transit choice between 2002-06. Also both higher density, more accessible to public transit and more diverse land uses in residence zone and in work place generally increase the ratio of public transit choice between 2002-06. Car and subway have the most strong alternative relation in commuter's mode choice. The findings give an important implication that the integrated public transit system has differential impacts on commuter's mode choice in Seoul.

• SUVANNABHUMI
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• v.5 no.1
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• pp.59-105
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• 2013

발리는 '신들의 섬', '세계의 아침', '지상의 마지막 낙원' 등의 이름을 갖고 있는 세계적으로 유명한 관광지이다. 본 논문의 목적은 이러한 세계적으로 유명한 여행목적지인 발리 관광을 통해 한국인은 동남아에 대해 어떤 인상을 갖게 되는가를 연구하고자했다. 최근 한국과 동남아 사이에 인간의 이동이 빈번해짐에 따라 문화교류 및 교차가 발생할 것을 전제로 하여 '한국 속 동남아현상'의 원인과 경로, 결과 등을 연구하는 배경 가운데, 특히 초국가적 단기이동으로서 관광을 통해 문화교류 및 교차에 대한 이해를 높이고자 한 것이다. 우선 관광목적지로 유인하는 요인에는 사회적, 지리적, 생태환경적, 문화적, 심리적 등등 다양한 요인들이 있고, 이러한 유인요인들을 매력적인 관광상품으로 개발하여 세계인들을 더 많이 유치하는 데는 관광정책에 달려있다. 무엇보다 민주화 이후 발리관광정책은 천해의 자연 및 지리조건은 물론 발리가 보유하고 있는 독특한 힌두문화, 그리고 발리를 신, 인간, 자연의 조화와 그 속에서의 평화를 체험할 수 있는 공간으로서 그 목적을 갖고 있다. 이러한 관광전략을 '지속가능한 그리고 공동체에 기초한 발전' 전략이라고 볼 수 있다. 설문지 경험분석을 통해 한국인이 발리에 도착하기 전까지 발리를 관광지로 선택하는데 영향을 준 미디어는 TV 드라마가 제일 크고, 인터넷, 여행정보지 그리고 지인 등의 순으로 나타나고, 한국인이 발리를 관광지로 선택하는 가장 큰 요인은 뜨거운 태양과 해변, 아름다운 자연환경임을 알 수 있었다. 또한 발리에 도착하여 발리에 대한 매력으로 느끼는 요소는 첫째가 역시 자연환경에서 주는 만족도가 제일 높고, 흥미로운 특징으로 볼 수 있는 것은 두 번째 요소가 편리한 숙박시설 즉, 잘 갖춰진 호텔에 대한 만족도가 2순위, 쇼핑이 3순위 그리고 다양한 문화와 예술이 4순위이다. 그리고 마지막으로 발리에 대한 이미지도 역시 자연환경에 대한 이미지가 가장 많은 영향을 차지하고 있고, 평화로움 그리고 신비로움 등이 발리에 대한 이미지로 자리잡고 있음을 알 수 있었다. 결국 초국가적 단기이동으로 한국인 발리행 관광을 통해 동남아적 자연환경과 문화에 대한 체험은 갖게 되지만, 단기이동의 한계로서 문화교류와 교차가 실질적으로 발생하는 것은 아니라고 볼 수 있다. 그러나 발리는 초국가적 문화의 장으로서 한국인을 포함하여 세계인과 함께 문화교류 및 교차의 장으로서 기능하고 있다고 볼 수 있다.

• Journal of Korean Society of Transportation
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• v.30 no.6
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• pp.47-57
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• 2012

The purpose of this study is to propose a supplement to current freight demand model by analyzing factors that influence the generation of empty truck movements in regional and urban realms. To achieve this, we examined the relation between the number of empty truck trips and various generators such as truck attributes, origin type and attributes, destination type and attributes, and commodity type. We structured the ordered logit model using 2011 Korea Transport Database (KTDB) data to analyze the generator characteristic of empty truck movements in regional and urban settings. According to the results, the characteristics of regional and urban empty truck movements differed depending on truck attributes, origin type and attributes, destination type and attributes, and commodity type.

• Proceedings of the Korean Society of Computer Information Conference
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• 2010.07a
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• pp.417-419
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• 2010

본 논문에서는 최적화 문제를 해결하는 기법의 하나인 유전자 알고리즘을 이용하여 모든 노드를 탐색하여 최적의 경로를 도출하는 최적화 경로 탐색 알고리즘을 제안한다. 경로를 도출하기 위해 중간 경로 노드로부터 출발지 노드 및 도착지 노드까지의 거리를 측정하여 개체를 생성한다. 출력 노드들을 도출하기 위해 생성된 개체를 적합도 함수에 적용하여 적합도를 계산한다. 계산된 적합도 값에 따라 교배를 할 노드 및 교배 지점(비트단위)을 선택한다. 선택되어진 교배와 교배 지점을 이용하여 개체들을 교배한다. 교배를 통해 새로운 개체를 생성한다. 새로운 개체가 적합도 조건(이전 개체 중 최대값 $^*\;2$)에 만족한다면 출력 노드로 도출하고, 다음 출력 노드를 도출할 때의 출발지 노드로 선택되어진다. 이러한 과정을 반복하여 모든 출력 노드를 도출한다. 제안된 방법을 실험한 결과, 순차 방식과 난수를 이용한 경우보다 제안된 방법이 효율적인 것을 확인하였다.