• Proceedings of the Korean Society of Computer Information Conference
• /
• 2013.07a
• /
• pp.75-76
• /
• 2013

본본 논문에서는 Space Syntax 이론에 기반하여 여성의 안전한 여가활동 경로를 추천하는 어플리케이션을 제안한다. 이 어플리케이션은 접근성, 지역 간 상호관계 등을 바탕으로 한 계산을 통해 추천경로를 만든다. 이는 일반적인 네비게이션이 가지는 최단시간, 최단거리 탐색과는 차별성을 가지며, 안전을 최우선으로 한 경로를 탐색한다. 오늘날 늘어난 여가시간에 따라 사람들의 레저 활동이 많아지며, 따라서 여성의 경우도 참여율에 높아진다. 이 때 여성의 경우 안전적 문제에 있어 레저 활동 장소까지의 경로를 추천하고자 한다. 본 논문에서는 제안하는 레저활동과 여성안전에 관련한 어플리케이션은 다양한 위험요소를 염두에 두어 계산을 통해 안전한 경로를 제공하는 알고리듬으로 주관적 선택사항을 적용하여, 자기맞춤형 경로를 선택 가능하게 한다.

• The KIPS Transactions:PartB
• /
• v.18B no.3
• /
• pp.157-164
• /
• 2011

This paper presents a fast and scalable re-routing algorithm that adapts to dynamically changing networks. The proposed algorithm integrates Dijkstra's shortest path algorithm with the genetic algorithm. Dijkstra's algorithm is used to define the predecessor array that facilitates the initialization process of the genetic algorithm. After that, the genetic algorithm re-searches the optimal path through appropriate genetic operators under dynamic traffic situations. Experimental results demonstrate that the proposed algorithm produces routes with less traveling time and computational overhead than pure genetic algorithm-based approaches as well as the standard Dijkstra's algorithm for large-scale networks.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
• /
• 2008.10a
• /
• pp.335-336
• /
• 2008

최근 ITS(Intelligent Transportation Systems)의 보급으로 개인의 기-종점 간 통행시간에 많은 비용절감을 가져왔다. 지금까지의 주요 최단경로알고리즘은 네트워크의 기-종점(Origin-Destination) 거리 간 최단 통행시간을 고려하여 연구되어 왔다. 하지만, 최근 대두되는 고유가 시대의 진입과 더불어 환경에 대한 인식이 높아짐에 따라 기-종점 간 통행시간만을 고려하던 기존의 방법들에서 벗어나 추가적인 요인들의 고려 필요성이 증대되고 있다. 따라서 본 연구에서는 지리정보시스템을 이용한 환경오염을 최소화하는 친환경 최단경로 탐색방법 개발을 제안하고자 한다. 이를 위하여 3D 좌표정보 도로를 활용하여, 도로구배 조건에 따른 배출가스의 증감율을 환경오염편익으로 구분하고, 이를 사회적비용으로 환산하여, 경로탐색의 추가적인 요소로 반영하였다.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.17 no.5
• /
• pp.654-659
• /
• 2007

This paper proposes the effective method for classifying the working spates and modelling the environments, when complex working environments of AGVS(Automated Guided Vehicle System) ate changed. And, we propose the shortest path searching algorithm using the A* algorithm of graph search method. Also, we propose the methods for finding each AGV's travel time of shortest path. Finally, a simple example is included for visualizing the feasibility of the proposed methods.

• The Transactions of the Korea Information Processing Society
• /
• v.3 no.1
• /
• pp.43-54
• /
• 1996

This paper presents new heuristic search algorithms for searching rectilinear r(L1), link metric, and combined shortest paths in the presence of orthogonal obstacles. The GMD(GuidedMinimum Detour) algorithm combines the best features of maze-running algorithms and line-search algorithms. The SGMD(Line-by-Line GuidedMinimum Detour)algorithm is a modiffication of the GMD algorithm that improves efficiency using line-by-line extensions. Our GMD and LGMD algorithms always find a rectilinear shortest path using the guided A search method without constructing a connection graph that contains a shortest path. The GMD and the LGMD algorithms can be implemented in O(m＋eloge＋NlogN) and O(eloge＋NlogN) time, respectively, and O(e＋N) space, where m is the total number of searched nodes, is the number of boundary sides of obstacles, and N is the total number of searched line segment. Based on the LGMD algorithm, we consider not only the problems of finding a link metric shortest path in terms of the number of bends, but also the combined L1 metric and Link Metric shortest path in terms of the length and the number of bands.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.16 no.1
• /
• pp.78-89
• /
• 2017

This study derived the algorithm of a public transportation route search that adds safety and environmental costs according to user preference. As the means of an algorithm application and evaluation, Macro Simulation, VISUM was conducted for an analysis. The route using the subway, which is relatively low in safety and environment resistance value was preferred, and it was analyzed to select the safe and environmental route even though it detours. This study can be applicable when to verify the algorithm of route search considering safety and environment, and when introducing the algorithm of route search according to user preference in the smart-phone application in the future, it can provide users with very useful information by choosing a route as for safety and environment, and through this, the quality of user-friendly information provision can be promoted.

• Proceedings of the Korean Information Science Society Conference
• /
• 2006.06c
• /
• pp.97-99
• /
• 2006

본 논문에서는, 비교적 제약이 심한 모바일 클라이언트를 위해 구현한 실시간 모바일 GIS에서, 최적의 경로탐색을 위한 최단 경로 탐색 관리자를 추가하였다. CAD파일로부터 추출한 벡터기반의 지리데이터를 사용하여 최단경로 검색의 시간비용을 줄이고자 필요한 정보를 추가하고, 처리비용에 불필요한 부담이 되는 데이터를 제외하는 처리를 한 후. 질의의 빈도가 각각 다른 MBR들간의 특성을 고려하여 상황에 맞는 최단 경로질의 처리 방법을 선택 수행하도록 하여 서버의 부담을 줄이고 처리 속도를 향상시키고자 하였다.

• Proceedings of the KIEE Conference
• /
• 2008.07a
• /
• pp.1837-1838
• /
• 2008

최단 경로란 유향(有向) 또는 무향(無向) 그래프에서 어떤 두 점 사이를 맺는 유향 또는 무향 경로 중 가장 짧은 것, 즉 가지의 길이 합을 최소로 하는 것을 구하는 문제. 그래프가 평면 접속인 경우에는 쌍대(雙對) 그래프의 최대 흐름을 구하는 문제와 등가이다. 본 논문에서는 최단 경로 문제를 풀기 위하여 Dijkstra의 장점은 살리고 단점을 보완하는 방향성을 가지는 Dijkstra 알고리즘을 제안하였다. 사례연구를 통하여 제안한 알고리즘은 출발점에서 도착점까지 최단 경로를 빠른 시간에 찾아가는 것을 보였다.

• Journal of the Institute of Electronics Engineers of Korea TC
• /
• v.47 no.8
• /
• pp.74-84
• /
• 2010

In this paper, we propose a preference-based shortest path algorithm which is combined with Ant Colony Optimization (ACO) and A* heuristic algorithm. In recent years, with the development of ITS (Intelligent Transportation Systems), there has been a resurgence of interest in a shortest path search algorithm for use in car navigation systems. Most of the shortest path search algorithms such as Dijkstra and A* aim at finding the distance or time shortest paths. However, the shortest path is not always an optimum path for the drivers who prefer choosing a less short, but more reliable or flexible path. For this reason, we propose a preference-based shortest path search algorithm which uses the properties of the links of the map. The preferences of the links are specified by the user of the car navigation system. The proposed algorithm was implemented in C and experiments were performed upon the map that includes 64 nodes with 118 links. The experimental results show that the proposed algorithm is suitable to find preference-based shortest paths as well as distance shortest paths.

• Journal of Korean Society of Transportation
• /
• v.26 no.1
• /
• pp.145-153
• /
• 2008

Existing shortest-path algorithms mainly consider a single attribute. But traveler actually chooses a route considering not single attribute but various attributes which are synthesized travel time, route length, personal preference, etc. Therefore, to search the optimal path, these attributes are considered synthetically. In this study route searching algorithm which selects the maximum utility route using discrete choice model has developed in order to consider various attributes. Six elements which affect route choice are chosen for the route choice model and parameters of the models are estimated using survey data. A multinomial logit models are developed to design the function of route choice model. As a result, the model which has route length, delay time, the number of turning as parameter is selected based on the significance test. We use existing shortest path algorithm, which can reflect urban transportation network such as u-turn or p-turn, and apply it to the real network.