• 제목/요약/키워드: Optimal Route

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A Distance and Angle Based Routing Algorithm for Vehicular Ad hoc Networks

  • ;이경현
    • 한국멀티미디어학회:학술대회논문집
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    • 한국멀티미디어학회 2012년도 춘계학술발표대회논문집
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    • pp.190-192
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    • 2012
  • Vehicular Ad hoc Networks (VANETs) is the new wireless networking concept of mobile ad hoc networks in research community. Routing in vehicular is a major challenge and research area. The majority of current routing algorithms for VANETs utilize indirect metrics to select the next hop and produce optimal node path. In this paper, we propose a distance and angle based routing algorithm for VANETs, which combines a distance approach with an angle based geographical strategy for selecting the next hop, with the purpose of using direct metrics to build a optimal node route. The proposed algorithm has better performance than the previous scheme.

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시간제약이 있는 차량경로문제에 대한 Hybrid 탐색 (Hybrid Search for Vehicle Routing Problem With Time Windows)

  • 이화기;이홍희;이성우;이승우
    • 산업경영시스템학회지
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    • 제29권3호
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    • pp.62-69
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    • 2006
  • Vehicle routing problem with time windows is determined each vehicle route in order to minimize the transportation costs. All delivery points in geography have various time restriction in camparision with the basic vehicle routing problem. Vechicle routing problem with time windows is known to be NP-hard, and it needs a lot of computing time to get the optimal solution, so that heuristics are more frequently developed than optimal algorithms. This study aims to develop a heuristic method which combines guided local search with a tabu search in order to minimize the transportation costs for the vehicle routing assignment and uses ILOG programming library to solve. The computational tests were performed using the benchmark problems.

일반거리산정방법을 이용한 다-물류센터의 최적 수송경로 계획 모델 (A Vehicle Routing Model for Multi-Supply Centers Based on Lp-Distance)

  • 황흥석
    • 산업공학
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    • 제11권1호
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    • pp.85-95
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    • 1998
  • This study is focussed on an optimal vehicle routing model for multi-supply centers in two-echelon logistic system. The aim of this study is to deliver goods for demand sites with optimal decision. This study investigated an integrated model using step-by-step approach based on relationship that exists between the inventory allocation and vehicle routing with restricted amount of inventory and transportations such as the capability of supply centers, vehicle capacity and transportation parameters. Three sub-models are developed: 1) sector-clustering model, 2) a vehicle-routing model based on clustering and a heuristic algorithm, and 3) a vehicle route scheduling model using TSP-solver based on genetic and branch-and-bound algorithm. Also, we have developed computer programs for each sub-models and user interface with visualization for major inputs and outputs. The application and superior performance of the proposed model are demonstrated by several sample runs for the inventory-allocation and vehicle routing problems.

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다중무선매체 해상통신망을 위한 최대승수기반 경로배정 프로토콜 (Max-Win based Routing(MWR) Protocol for Maritime Communication Networks with Multiple Wireless Media)

  • 손주영;문성미
    • Journal of Advanced Marine Engineering and Technology
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    • 제34권8호
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    • pp.1159-1164
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    • 2010
  • 기존 해상의 데이터통신은 주로 위성과 라디오에 의존적이나 전송률과 비용 측면에서 제약을 가진다. 향후의 수요에 대비하여 육상의 통신체제와 유사하게 저렴하고 비교적 높은 전송률을 제공하는 새로운 해상통신체제가 필요하다. 이 논문에서는 선박간의 데이터통신을 위해 새롭게 설계된 해상통신망 모델을 보이고, 선박에서 이용할 수 있는 여러 무선매체 가운데 응용의 특성과 통신제약조건에 최적인 매체를 선택하여 경로를 배정하는 MWR 라우팅 프로토콜을 제안한다.

Dynamic Network Provisioning for Time-Varying Traffic

  • Sharma, Vicky;Kar, Koushik;La, Richard;Tassiulas, Leandros
    • Journal of Communications and Networks
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    • 제9권4호
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    • pp.408-418
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    • 2007
  • In this paper, we address the question of dynamic network provisioning for time-varying traffic rates, with the objective of maximizing the system throughput. We assume that the network is capable of providing bandwidth guaranteed traffic tunnels for an ingress-egress pair and present an approach that (1) updates the tunnel routes and (2) adjusts the tunnel bandwidths, in an incremental, adaptive manner, based on the variations in the incoming traffic. First, we consider a simpler scenario where tunnel routes are fixed, and present an approach for adjusting the tunnel bandwidths dynamically. We show, through simulations, that our dynamic bandwidth assignment algorithm significantly outperforms the optimal static bandwidth provisioning policy, and yields a performance close to that of the optimal dynamic bandwidth provisioning policy. We also propose an adaptive route update algorithm, which can be used in conjunction with our dynamic bandwidth assignment policy, and leads to further improvement in the overall system performance.

차량경로문제에 대한 발견적 해법 (A Heuristic for the Vehicle Routing Problem)

  • 노인규;예성영
    • 대한산업공학회지
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    • 제22권3호
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    • pp.325-336
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    • 1996
  • This study is concerned with developing a heuristic for the vehicle routing problem(VRP) which determines each vehicle route in order to minimize the transportation costs, subject to meeting the demands of all delivery points. VRP is known 10 be NP-hard, and it needs a lot of computing time to get the optimal solution, so that heuristic are more frequently developed than optimal algorithms. This study aims to develop a heuristic which can give a good solution in comparatively brief time. Finally, the computational tests were performed using the benchmark problems and the proposed heuristic is compared with the other existing algorithms. The result of computational tests shows that the proposed heuristic gives good solutions, in much shorter time, which are not 1% more expensive than the best known solutions, which are same as the best known solutions in the previous researches.

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Android Application for Connecting Cycling Routes on Strava Segments

  • Mulasastra, Intiraporn;Kao-ian, Wichpong
    • Journal of information and communication convergence engineering
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    • 제17권2호
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    • pp.142-148
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    • 2019
  • Relatively few countries provide separate bicycle lanes for cyclists. Hence, tools for suggesting cycling routes are essential for a safe and pleasant cycling experience. This study aims to develop a mobile application to build cycling routes based on user preferences, specifically location, search radius, ride distance, and number of optimal routes. Our application calls the Strava API to retrieve Strava cycling segments crowdsourced from the cycling community. Then, it creates a graph consisting of the start and end points of these segments. Beginning from a user-specified location, the depth-first search algorithm (DFS) is applied to find routes that conform to the user's preferences. Next, a set of optimal routes is obtained by computing a trade-off ratio for every discovered route. This ratio is calculated from the lengths of all segments and the lengths of all connecting paths. The connected routes can be displayed on a map on an Android device or exported as a GPX file to a bike computer. Future work must be performed to improve the design of the user interface and user experience.

DECISION SUPPORT SYSTEM FOR OPTIMAL SELECTION OF HAUL ROUTES BASED ON TIME SLOTS IN EARTHMOVING OPERATION

  • Sang-Hyeok Kang;Kyeong-Geun Baik;Hyun-Gi Baek;Hyeong-Gi Park;Jong-Won Seo
    • 국제학술발표논문집
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    • The 3th International Conference on Construction Engineering and Project Management
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    • pp.1134-1139
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    • 2009
  • Haul routes for earthmoving operation need to be carefully selected because the decision on the haul routes could make a significant difference in the project's cost and time. This paper proposes a decision support system for improving productivity of earthmoving operation that helps construction managers choose the best haul routes of trucks based on time slots. Also, a methodology for optimal selection of haul routes considering traffic conditions and topographic conditions of the routes is explained. Raster data model is used to find an available shortest path based on cost weighted distance. A system was developed on a geographic information system environment for efficient database management and easy manipulation of graphical data. A real-world case study was conducted to verify the applicability of the proposed system.

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위험물 수송 최적경로 탐색 알고리즘 개발: Efficient Vector Labeling 방법으로 (An Algorithm for Searching Pareto Optimal Paths of HAZMAT Transportation: Efficient Vector Labeling Approach)

  • 박동주;정성봉;오정택
    • 한국방재학회 논문집
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    • 제11권3호
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    • pp.49-56
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    • 2011
  • 본 연구는 위험물 수송의 최적경로를 결정하는 방법론을 제안하였다. 위험물 차량의 최적경로를 결정할 때에는 위험도 최소화를 목적으로 하는 공공의 입장과 통행시간 최소화를 목적으로 하는 민간기업의 입장이 서로 상충한다. 본 연구에서는 이러한 다기준 의사결정(Multi-criteria decision making)문제 중 하나인 위험물 수송용 최적경로를 탐색하는 방법론으로 Efficient Vector Labeling(이하 EVL) 알고리즘을 제시하였다. EVL 알고리즘은 위험도와 통행시간을 동시에 고려하여 복수의 Pareto optimal 경로(또는 비지배경로)를 탐색하게 한다. 본 연구는 또한 탐색된 비지배경로간의 중복도를 제어할 수 있도록 설계하였다. 개발된 Efficient Vector Labeling 알고리즘을 Test bed network에 적용하여 기존의 경로탐색 방법론과 비교하였다. 적용 결과 새로운 알고리즘이 기존의 알고리즘보다 합리적인 대안경로를 탐색할 수 있는 것으로 분석되었다.

차량 경로 스케줄링 문제 해결을 위한 개미 군집 최적화 휴리스틱 (An Ant Colony Optimization Heuristic to solve the VRP with Time Window)

  • 홍명덕;유영훈;조근식
    • 정보처리학회논문지B
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    • 제17B권5호
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    • pp.389-398
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    • 2010
  • 차량 경로 스케줄링 문제(VRSPTW, the Vehicle Routing and Scheduling Problem with Time Window)는 여러 고객의 시간 제약과 요구량을 만족시키면서 최소 이동 비용을 가지는 경로를 구성하는 문제이다. 이 문제는 NP-Hard 문제이기 때문에 해를 산출하는데 시간이 오래 걸린다. 본 연구는 VRSPTW를 빠른 시간 내에 최근사해를 구하기 위한 멀티 비용 함수(Multi Cost Function)를 갖는 개미 군집 최적화(Ant Colony Optimization)을 이용한 휴리스틱을 제안하였다. 멀티 비용 함수는 각 개미가 다음 고객 노드로 이동하기 위해 비용을 평가할 때 거리, 요구량, 각도, 시간제약에 대해 서로 다른 가중치를 반영하여 우수한 초기 경로를 구할 수 있도록 한다. 본 연구의 실험결과에서 제안된 휴리스틱이 Solomon I1 휴리스틱과 기회시간이 반영된 하이브리드 휴리스틱보다 효율적으로 최근사 해를 얻을 수 있음을 보였다.