• Title/Summary/Keyword: 최단경로 알고리즘

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The Development of a Shortest Route Search Demonstration System for the Home Delivery Using Ant Algorithm : Limiting to Yangyang Province (개미 알고리즘을 이용한 택배 배송 최단경로 탐색 시범 시스템의 개발 : 양양지역을 중심으로)

  • Lee, Sung-Youl;Park, Young-Han;Lee, Jung-Min
    • Journal of Korea Society of Industrial Information Systems
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    • v.12 no.4
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    • pp.89-96
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    • 2007
  • The amount of home deliveries are increasing day by day owing to the increment of the on-line market. This environment brings along generating many delivery companies and keen competition with each other in its customer hold Therefore, this study aims at the development of a shortest delivery route search demonstration system using Ant Algorithm. The developed system reduces the time consumption significantly in search of delivery path and time of the products for the novice delivery driver as well as experienced driver. Ultimately, the developed system will give the customer reliability and satisfaction, knowing a delivery route in advance.

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Generating Multiple Paths by Using Multi-label Vine-building Shortest Path Algorithm (수정형 덩굴망 최단경로 탐색 알고리즘을 이용한 다경로 생성 알고리즘의 개발)

  • Kim, Ik-Ki
    • Journal of Korean Society of Transportation
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    • v.22 no.2 s.73
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    • pp.121-130
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    • 2004
  • In these days, multiple-path generation method is highly demanded in practice and research areas, which can represents realistically travelers behavior in choosing possible alternative paths. The multiple-path generation algorithm is one of the key components for policy analysis related to ATIS, DRGS and ATMS in ITS. This study suggested a method to generate multiple Possible paths from an origin to a destination. The approach of the suggested method is different from an other existing methods(K-shortest path algorithm) such as link elimination approach, link penalty approach and simulation approach. The result of the multi-label vine-building shortest path algorithm(MVA) by Kim (1998) and Kim(2001) was used to generate multiple reasonable possible paths with the concept of the rational upper boundary. Because the MVA algorithm records the cost, back-node and back-back node of the minimum path from the origin to the concerned node(intersection) for each direction to the node, many potential possible paths can be generated by tracing back. Among such large number of the potential possible paths, the algorithm distinguishes reasonable alternative paths from the unrealistic potential possible paths by using the concept of the rational upper boundary. The study also shows the very simple network examples to help the concept of the suggested path generation algorithm.

Solving Shortest Path Problems Using Microfluidics (Microfluidics를 이용한 최단 경로 문제 해결)

  • 어상준;장병탁
    • Proceedings of the Korean Information Science Society Conference
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    • 2002.04b
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    • pp.313-315
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    • 2002
  • 최단 경로 문제는 통신 강이나 로봇 경로 계획등과 같은 다양한 응용분야에 적용이 가능한 벤치 마크 문제로서 많은 효율적인 알고리즘들이 개발되어 왔다 그러나 기존의 방법들이 고전적인 컴퓨팅 모델에 기반하여 설계된 반면에 본 논문에서는 최단 경로 문제를 풀기 위하여 microfluidics기반의 MEMS 기술을 사용한 새로운 형태의 계산 모델(fluidic computing)을 제 시 하고 실험, 분석하였다.

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A Study On the Obstacle Avoidance and Path Planning Algorithm for Contingenecy (돌발장애물 회피 및 최적 경로 알고리즘에 관한 연구)

  • 신영국;이기성
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2000.11a
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    • pp.278-280
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    • 2000
  • 본 논문에서는 경로계획 알고리즘으로 사용한 거리변환 경로곡선상에 중간경유점을 설정한후 이를 최적화시켜 각 이동로봇의 주행경로를 최적화 하였고, 로봇간의 우선 순위를 설정하여 원활한 충돌회피가 이루어지도록 하였으며, 각 로봇은 충돌회피 후에도 중간 경유점 까지 최단거리로의 주행이 이루어지도록 하였다. 또한 기존에 제시된 방법에 외길 입구에 경고 지점을 지정함으로써 외길에서의 상호충돌을 방지하는 효과를 주었다. 이로써 로봇간의 우선 순위의 설정으로 인하여 생기는 시간 지연을 해소시키는 효과를 가져올 수 있었다. 로봇간의 우선순위를 설정함에 있어서 또다른 변수를 추가시킴으로 로봇이외의 움직이는 장애물에 대해서도 고려하도록 하였다. 위와 같이, 본 논문에서는 여러대의 이동로봇을 고정된, 움직이는 장애물이 있는 환경하에서 장애물 회피시마다 최단경로로 주행하여 주어진 목표점까지 이동시키는 경로계획에 관하여 연구하였다.

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Characteristic Analysis on Urban Road Networks Using Various Path Models (다양한 경로 모형을 이용한 도시 도로망의 특성 분석)

  • Bee Geum;Hwan-Gue Cho
    • The Transactions of the Korea Information Processing Society
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    • v.13 no.6
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    • pp.269-277
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    • 2024
  • With the advancement of modern IT technologies, the operation of autonomous vehicles is becoming a reality, and route planning is essential for this. Generally, route planning involves proposing the shortest path to minimize travel distance and the quickest path to minimize travel time. However, the quality of these routes depends on the topological characteristics of the road network graph. If the connectivity structure of the road network is not rational, there are limits to the performance improvement that routing algorithms can achieve. Real drivers consider psychological factors such as the number of turns, surrounding environment, traffic congestion, and road quality when choosing routes, and they particularly prefer routes with fewer turns. This paper introduces a simple path algorithm that seeks routes with the fewest turns, in addition to the traditional shortest distance and quickest time routes, to evaluate the characteristics of road networks. Using this simple path algorithm, we compare and evaluate the connectivity characteristics of road networks in 20 major cities worldwide. By analyzing these road network characteristics, we can identify the strengths and weaknesses of urban road networks and develop more efficient and safer route planning algorithms. This paper comprehensively examines the quality of road networks and the efficiency of route planning by analyzing and comparing the road network characteristics of each city using the proposed simple path algorithm.

An Efficient Search Mechanism for Dynamic Path Selection (동적 경로 선정을 위한 효율적인 탐색 기법)

  • Choi, Kyung-Mi;Park, Hwa-Jin;Park, Young-Ho
    • Journal of Digital Contents Society
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    • v.13 no.3
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    • pp.451-457
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    • 2012
  • Recently, as the use of real time traffic information of a car navigation system increases rapidly with the development of Intelligent Transportation Systems (ITS), path search is getting more important. Previous algorithms, however, are mostly for the shortest distance searching and provide route information using static distance and time information. Thus they could not provide the most optimal route at the moment which changes dynamically according to traffic. Accordingly, in this study, Semantic Shortest Path algorithm with Reduction ratio & Distance(SSP_RD) is proposed to solve this problem. Additionally, a routing model based on velocity reduction ratio and distance and a dynamic route link map are proposed.

Development of the Algorithm of a Public Transportation Route Search Considering the Resistance Value of Traffic Safety and Environmental Index (교통안전, 환경지표의 저항값을 고려한 대중교통 경로 탐색 알고리즘 개발)

  • Kim, Eun-Ji;Lee, Seon-Ha;Cheon, Choon-Keun;Yu, Byung-Young
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.16 no.1
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    • pp.78-89
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    • 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.

Performance Evaluation of Different Route Planning Algorithms in the Vehicle Navigation System (차량 항법 시스템의 경로 탐색을 위한 탐색 알고리즘들의 성능 비교)

  • Lee, Jae-Mu;Kim, Jong-Hoon;Jeon, H.-Seok
    • Journal of The Korean Association of Information Education
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    • v.2 no.2
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    • pp.252-259
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    • 1998
  • Vehicle navigation systems employ a certain route planning algorithm that provides the shortest path between the starting point and the destination point. The performance of a given route planning algorithm is measured through the degree of optimal route selection and the time cost to complete searching an optimal path. In this paper, various route planning algorithms are evaluated through computer simulation based on a real digital map database. Among those algorithms evaluated in this paper, the Modified Bi-directional A${\ast}$ algorithm is found to be the best algorithm for use in vehicle navigation systems.

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Pedestrian path search based on the shortest distance algorithm using Map API (Map API를 활용한 최단 거리 알고리즘 기반 보행자 경로 탐색 연구)

  • Sungwoo, Jeon;Bokseon, Kang;Youngha, Park;Heo-kyung, Jung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.27 no.1
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    • pp.117-123
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    • 2023
  • There are casualties due to inundation and flooding due to intensive typhoons or heavy rains in summer. Due to such damage, the biggest disaster is flood, and in order to reduce human damage, this paper proposes a shortest distance algorithm-based pedestrian path search study using Map API. This system selects Map API through comparative analysis and provides the shortest route. The route explored is in JSON format and the data of the shelter is stored in the database. The route search system designed and implemented based on this data locates pedestrians and provides evacuation routes in case of flash floods. In addition, if the route cannot be entered while moving to the evacuation route, the current location of the pedestrian is identified, the route is re-searched, and a new route is provided. Therefore, it is believed that the pedestrian route search system proposed in this paper will prevent negligent accidents.