On-the-fly Fastest Path Computation in Event Dependent Network

碩士 === 國立成功大學 === 資訊工程學系碩博士班 === 100 === In recent years, the fastest path algorithms were applied on the navigation. However, existing algorithms have two disadvantages. One is repeated computation, and the other is long response time or inaccurate results on large networks. Hence, they are not sui...

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Main Authors: Jyun-NanLiu, 劉俊男
Other Authors: Da-Wei Chang
Format: Others
Language:en_US
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/67652999193015037371
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spelling ndltd-TW-100NCKU53920442015-10-13T21:38:03Z http://ndltd.ncl.edu.tw/handle/67652999193015037371 On-the-fly Fastest Path Computation in Event Dependent Network 事件相依圖網之動態最快路徑即時演算法 Jyun-NanLiu 劉俊男 碩士 國立成功大學 資訊工程學系碩博士班 100 In recent years, the fastest path algorithms were applied on the navigation. However, existing algorithms have two disadvantages. One is repeated computation, and the other is long response time or inaccurate results on large networks. Hence, they are not suitable for emergency related systems. But, the problems can be solved by pre-computation if the network is predictable. Unfortunately, the networks are unpredictable in an emergency condition. To address this, real-time re-computation is performed when the network is changed. The contributions of this study are to propose the event-dependent network model and to reduce the response time of computing the accurate fastest path. The response delay is re-computation time because we cannot provide the correct fastest paths on the process of re-computation. For reducing the re-computation time, our method focuses on reducing the input size by critical region finding and re-computing. Besides, a method is proposed to avoid long response time due to a large critical region. The results show that, the proposed methods improve the response time by 20-70times. Da-Wei Chang 張大緯 2012 學位論文 ; thesis 49 en_US
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description 碩士 === 國立成功大學 === 資訊工程學系碩博士班 === 100 === In recent years, the fastest path algorithms were applied on the navigation. However, existing algorithms have two disadvantages. One is repeated computation, and the other is long response time or inaccurate results on large networks. Hence, they are not suitable for emergency related systems. But, the problems can be solved by pre-computation if the network is predictable. Unfortunately, the networks are unpredictable in an emergency condition. To address this, real-time re-computation is performed when the network is changed. The contributions of this study are to propose the event-dependent network model and to reduce the response time of computing the accurate fastest path. The response delay is re-computation time because we cannot provide the correct fastest paths on the process of re-computation. For reducing the re-computation time, our method focuses on reducing the input size by critical region finding and re-computing. Besides, a method is proposed to avoid long response time due to a large critical region. The results show that, the proposed methods improve the response time by 20-70times.
author2 Da-Wei Chang
author_facet Da-Wei Chang
Jyun-NanLiu
劉俊男
author Jyun-NanLiu
劉俊男
spellingShingle Jyun-NanLiu
劉俊男
On-the-fly Fastest Path Computation in Event Dependent Network
author_sort Jyun-NanLiu
title On-the-fly Fastest Path Computation in Event Dependent Network
title_short On-the-fly Fastest Path Computation in Event Dependent Network
title_full On-the-fly Fastest Path Computation in Event Dependent Network
title_fullStr On-the-fly Fastest Path Computation in Event Dependent Network
title_full_unstemmed On-the-fly Fastest Path Computation in Event Dependent Network
title_sort on-the-fly fastest path computation in event dependent network
publishDate 2012
url http://ndltd.ncl.edu.tw/handle/67652999193015037371
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