• Title/Summary/Keyword: Dijkstra method

검색결과 78건 처리시간 0.019초

A Algorithm on Optimizing Traffic Network by the Control of Traffic Signal Timing (교통신호등 제어를 통한 교통망 최적화 알고리즘)

  • An, Yeong-Pil;Kim, Dong-Choon;Na, Seung-kwon
    • Journal of Advanced Navigation Technology
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    • 제21권5호
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    • pp.472-478
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    • 2017
  • In this paper, we deals with optimizing traffic signal timing in grid networks by using a network topology design method. Optimizing traffic signal timing includes minimizing delay time delay between departure and destination by interlocking straight traffic signal in the minimum spanning tree(MST). On the assumption that users of network abide by the paths provided in this paper, this paper shows optimizing traffic signal timing in grid networks. the paths provided in this paper is gathered by using Dijkstra algorithm used in computer networks. The results indicate minimizing delay time of passing through the grid network and interlocking traffic signal in the grid network.

A Point-to-Point Shortest Path Algorithm Based on Level Node Selection (레벨 노드 선택 기반 점대점 최단경로 알고리즘)

  • Lee, Sang-Un
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • 제12권1호
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    • pp.133-140
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    • 2012
  • This paper suggests an algorithm that can shorten the complexity $O(n^2)$ of Dijkstra algorithm that is applied to the shortest path searching in real-time GPS Navigation System into an up-to-date O(n). Dijkstra algorithm manipulates the distance of the minimum length path by visiting all the nodes from the starting node. Hence, it has one disadvantage of not being able to provide the information on the shortest path every second, in a city that consists of sophisticated roads, since it has to execute number of node minus 1. The suggested algorithm, firstly, runs by means of organizing the set of out-neighbourhood nodes at each level of the tree, and root node for departure node. It also uses a method of manipulating the distance of the minimum path of all out-neighborhoods and interior of the out-neighborhoods. On applying the suggested algorithm to two sophisticated graphs consisted of bi-direction and uni-direction, we have succeeded to obtain the distance of the minimum length path, just as same as Dijkstra algorithm. In addition, it has an effect of shortening the time taken 4 times from number of node minus1 to number of level minus 1. The satisfaction of the drivers can be increased by providing the information on shortest path of detour, every second, when occurs any rush hour or any traffic congestion due to car accident, by applying this suggested algorithm to the real-time GPS system.

Improved Route Search Method Through the Operation Process of the Genetic Algorithm (유전 알고리즘의 연산처리를 통한 개선된 경로 탐색 기법)

  • Ji, Hong-il;Seo, Chang-jin
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • 제64권4호
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    • pp.315-320
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    • 2015
  • Proposal algorithm in this paper introduced cells, units of router group, for distributed processing of previous genetic algorithm. This paper presented ways to reduce search delay time of overall network through cell-based genetic algorithm. As a result of performance analysis comparing with existing genetic algorithm through experiments, the proposal algorithm was verified superior in terms of costs and delay time. Furthermore, time for routing an alternative path was reduced in proposal algorithm, in case that a network was damaged in existing optimal path algorithm, Dijkstra algorithm, and the proposal algorithm was designed to route an alternative path faster than Dijkstra algorithm, as it has a 2nd shortest path in cells of the damaged network. The study showed that the proposal algorithm can support routing of alternative path, if Dijkstra algorithm is damaged in a network.

An Efficient Robot Path Generation Using Delaunay Mesh (딜레노이 메시를 이용한 효율적인 로봇 경로 생성방법)

  • Noh, Sung-Woo;Ko, Nak-Yong;Kim, Kwang-Jin
    • The Journal of Korea Robotics Society
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    • 제5권1호
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    • pp.41-47
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    • 2010
  • This paper proposes a path planning method of a mobile robot in two-dimensional work space. The path planning method is based on a cell decomposition approach. To create a path which consists of a number of line segments, the Delaunay Triangulation algorithm is used. Using the cells produced by the Delaunay Triangulation algorithm, a mesh generation algorithm connects the starting position to the goal position. Dijkstra algorithm is used to find the shortest distance path. Greedy algorithm optimizes the path by deleting the path segments which detours without collision with obstacles.

An Economic Ship Routing System Based on a Minimal Dynamic-cost Path Search Algorithm (최소동적비용 경로탐색 알고리즘 기반 선박경제운항시스템)

  • Joo, Sang-Yeon;Cho, Tae-Jeong;Cha, Jae-Mun;Yang, Jin-Ho;Kwon, Yung-Keun
    • KIPS Transactions on Computer and Communication Systems
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    • 제1권2호
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    • pp.79-86
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    • 2012
  • An economic ship routing means to sail a ship with a goal of minimizing the fuel consumption by utilizing weather forecast information, and various such systems have been recently studied. For a successful economic ship routing system, an efficient algorithm is needed to search an optimal geographical path, and most of the previous systems were approaching to that problem through a minimal static-cost path search algorithm based on the Dijkstra algorithm. To apply that kind of search algorithm, the cost of every edge assigned with the estimated fuel consumption should be constant. However, that assumption is not practical at all considering that the actual fuel consumption is determined by the weather condition when the ship will pass the edge. To overcome such a limitation, we propose a new optimal ship routing system based on a minimal dynamic-cost path search algorithm by properly modifying the Dijkstra algorithm. In addition, we propose a method which efficiently reduces the search space by using the $A^*$ algorithm to decrease the running time. We compared our system with the shortest path-based sailing method over ten testing routes and observed that the former reduced the estimated fuel consumption than the latter by 2.36% on average and the maximum 4.82% with little difference of estimated time of arrival.

Route Optimization for Emergency Evacuation and Response in Disaster Area (재난지역에서의 대피·대응 동시수행을 위한 다중목적 긴급대피경로 최적화)

  • Kang, Changmo;Lee, Jongdal;Song, Jaejin;Jung, Kwangsu
    • KSCE Journal of Civil and Environmental Engineering Research
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    • 제34권2호
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    • pp.617-626
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    • 2014
  • Lately, losses and damage from natural disasters have been increasing. Researchers across various fields in Korea are trying to come up with a response plan, but research for evacuation plans is still far from satisfactory. Hence this paper proposes a model that could find an optimized evacuation route for when disasters occur over wide areas. Development of the model used methods including the Dijkstra shortest path algorithm, feasible path method, genetic algorithm, and pareto efficiency. Computations used parallel computing (SPMD) for high performance. In addition, the developed model is applied to a virtual network to check the validity. Finally the adaptability of the model is verified on a real network by computating for Gumi 1stNational Industrial Complex. Computation results proved that this model is valid and applicable by comparison of the fitness values for before optimization and after optimization. This research can contribute to routing for responder vehicles as well as planning for evacuation by objective when disasters occur.

PathFind Method Research (PathFinding Method 연구)

  • Choi, Won-Jin;Gu, Bon-Woo
    • Proceedings of the Korea Information Processing Society Conference
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    • 한국정보처리학회 2022년도 춘계학술발표대회
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    • pp.696-698
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    • 2022
  • 게임에서는 장애물이 가로 막고 있을 때 길 찾기 알고리즘이 요구된다. Path Finding Method 는 길과 장애물을 고려하여 목적지까지의 경로를 찾는 방법을 말한다. A* 알고리즘은 이런 복잡한 미로 찾기에 최적화된 Path Finding 알고리즘이다. 하지만, 모바일 같은 저비용 기기에서 A* 알고리즘을 사용하기엔 단순한 지형에서도 연산 부하가 발생할 수 있다. 본 논문에서는 가상의 공간에서 Grid를 구축하여, 통행이 가능한 곳과 불가능한 곳을 나누어 최종 지점에 도달할 수 있도록 하는 방식을 제안한다. 본 논문에서 제시한 Path Finding Method 는 최종 지점이 막다른 길인 경우 가장 가까운 이동 가능한 경로로 길을 안내하도록 설계하여 예외 상황에 대처했다. 대표적인 길 찾기 알고리즘인 Dijkstra 알고리즘은 최소 비용을 고려해서 최단으로 가는 거리를 비교하여 길을 나타낼 수 있다. 하지만, Dijkstra 알고리즘 경우 비용이 양수가 아닌 음수의 경우 무한 루프에 빠지는 등 결과 값이 제대로 나오지 않을 수 있다. 본 논문에서 제안한 Path Finding Method 는 최소 비용을 노드별로 비교하는 방식이 아닌 초기 비용을 알 수 없는 분야에 쉽게 사용할 수 있다. 본 논문에서는 제안한 Path Finding Method 를 적용하여 Web 게임을 제작하는 것에 성공하였다. 향후, Path Finding Method 결과에 위치 정렬 알고리즘을 적용하여, 중복된 지역을 가는 확률을 최소화하면서 정리된 Path 가 돌출되도록 연구할 예정이다. 본 논문의 Path Finding Method 은 게임 개발 분야에 적극 기여되길 바란다.

Design of the bicycle road networks concerning the bicycle users' purposes (자전거 이용자의 이용목적에 부합하는 자전거 전용도로 설계에 관한 연구)

  • Lee, Jeabin;Huh, Yong
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • 제31권5호
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    • pp.385-391
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    • 2013
  • As a solution for environmental problems caused by increasing number of vehicles, it is encouraged to use a bicycle as an environment-friendly transportation method. To vitalize the bicycle usage, it is a necessary to construct bicycle roads that are safe and suitable for users. Based on the previous research results, we assume the main purposes of bicycle usages are mainly local leisure activity and school commuting. Thus, the proposed method finds the shortest link between the existing bicycle road network and bicycle usage facilities such as leisure activity places or schools over public road network. Then, we carry out the RTK DGPS survey for the candidate links, and analyze the slopes of them. When the slope of a found link is larger than a threshold, an alternative link is re-found for the safety and convenience of a bicycle user. The proposed method is applied to the real bicycle road network in Mokpo, Chunnam and the results are discussed.

A study on shortest problem between specified nodes with multiple travel time (다수개의 여행시간이 주어진 경우의 지정된 마디간의 최단경로 문제)

  • 이명석;박순달
    • Korean Management Science Review
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    • 제7권2호
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    • pp.51-57
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    • 1990
  • The purpose of this thesis is to find the shortest path between two nodes on an acyclic network where the arc costs are determined by the starting time at the starting node of the arc. A branch and bound method for optimal solutions and a heuristic method is developed. In heuristic method Dijkstra algorithm is modified to maintain the minimum arrival times of maximum informations in the each time period at each node and is updated by the result with the insertion technique. Expermetal results among two methods are presented with regard to run time and solution qualities.

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A Study on Bicycle Route Selection Considering Topographical Characteristics (지형적 특성을 고려한 자전거 경로 선정에 관한 연구)

  • Yang, Jung Lan;Jun, Chul Min
    • Journal of Korean Society for Geospatial Information Science
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    • 제21권3호
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    • pp.3-9
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    • 2013
  • As interest in green growth picks up, the importance of bicycles which are an environment friendly means of communication has been magnified. However, bicycle routes which are the base of bicycles are designed without considering topographic elements and thus many users are experiencing inconvenience in using bicycles. The present study presents a routing technique to select optimal routes when selecting routes in commuting to school utilizing bicycles. To this end, a formula for optimum route calculation considering slope and intersections was drawn and a method to select optimum routes by applying modified Dijkstra Algorithms was studied. According to the results, the bicycle routes for commuting to school should be selected by the shortest time rather than the shortest distances to the destination, because it required reach the destination faster. Therefore when selecting the routes, it must be based on the shortest time considering waiting time due to crosswalks or crossroads and speed variations due to slopes.