| 研究生: |
辛孟鑫 Hsin, Meng-Hsin |
|---|---|
| 論文名稱: |
撥召運輸系統路線規劃問題之研究-以台北市復康巴士為例 The Vehicle Routing Problem for Dial-a-ride System-A Case of Fu-kang Bus in Taipe |
| 指導教授: |
魏健宏
Wei, Chien-Hung |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 交通管理科學系 Department of Transportation and Communication Management Science |
| 論文出版年: | 2005 |
| 畢業學年度: | 93 |
| 語文別: | 中文 |
| 論文頁數: | 74 |
| 中文關鍵詞: | 撥召運輸系統 、復康巴士 、啟發式解法 、車輛共乘 、路線規劃問題 |
| 外文關鍵詞: | Dial-a-ride, Heuristic, Vehicle Routing Problem, Fu-kang Bus, Ride-sharing |
| 相關次數: | 點閱:218 下載:11 |
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隨著近年來國內社會福利制度的日趨健全,身心障礙者運輸問題日益受到社會大眾關注,建立及門服務之撥召運輸系統已是政府相關機構之施政方針,該系統之特點在於路線及班表深具彈性,且能配合不特定運輸需求者之上下車時間及地點來規劃。
從國外撥召運輸系統營運案例發現,隨著其服務範圍擴大,路線規劃的複雜度將巨幅增加,若未妥善處置將降低系統營運之有效性。研究以現行已實際商業營運之台北市復康巴士為研究對象,現行台北市復康巴士係由台北市政府交通局採公開招標方式,委由民間業者營運,其預約服務系統之路線規劃方式,為待預約時間截止後,以人工比對方式將所有需求資料依經驗進行路線編排。此種運作模式固然易於實行,但較缺乏彈性,無法於顧客進行預約時即進行共乘媒合並告知顧客,對目前已嚴重供不應求的台北市復康巴士而言,此種作法勢必無法提高系統營運績效以滿足顧客需求。
本文之主要目的,便是以台北市復康巴士現營業者所提供之預約服務為基礎,探討其路線規劃問題之特性並研擬合適之求解策略,藉由動態即時的處理方式來取代目前的人工靜態處理方式。本研究以啟發式尋優法排定車輛路線及班表,經由案例測試可以提高共乘次數、有效發揮運能,對於乘客與業者都有明顯效益。
Recently, more attention is being focused on the disabilities and elders to their transportation demand. This makes the dial-a-ride system which is provided with high accessibility and mobility an important issue in Taiwan.
The Dial-a-Ride Problem (DARP) consists of designing vehicle routes for many users who specify diversified pick-up and drop-off requests between various origins and destinations. The aim is to plan a set of minimum cost vehicle routes capable of accommodating as many users as possible, under a set of practical constraints. One purpose of this article is to find the main features of the problem associated with Fu-kang Bus’s specific routing concerns.
One drawback of the Taipei Fu-kang Bus is the route planners sequenced the stops on the routes themselves. When they had enough experience, this method worked fairly well, but it took more time and didn’t ride-sharing matching immediately. Another purpose of this article is to improve the operational inefficiencies when the customers are online.
The heuristic algorithm designed for the realistic problem could reduce operating costs, and save more manpower by organizing routes to minimize the number of direct trips and thereby reduce the number of vehicles.
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