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系統識別號 U0026-1209201311110800
論文名稱(中文) 應用格位傳遞模式與轉向比估計於適應性號誌控制邏輯之構建
論文名稱(英文) Applying the Cell Transmission Model and Estimated Turning Proportions for Adaptive Signal Control Logic
校院名稱 成功大學
系所名稱(中) 交通管理學系碩博士班
系所名稱(英) Department of Transportation & Communication Management Science
學年度 101
學期 2
出版年 102
研究生(中文) 蔡滌塵
研究生(英文) Ti-Chen Tsai
電子信箱 metrotsai@gmail.com
學號 R56004081
學位類別 碩士
語文別 中文
論文頁數 82頁
口試委員 口試委員-何志宏
口試委員-胡大瀛
指導教授-胡守任
中文關鍵字 適應性號誌控制邏輯  格位傳遞模式  轉向比估計 
英文關鍵字 Adaptive Signal Control Logic  Cell Transmission Model  Turning Proportion Estimation 
學科別分類
中文摘要 交通號誌為現今道路系統中必備的交通管理設施。但若交通號誌控制邏輯無法即時反應實際車流狀態,如過長的紅燈或綠燈時間,與不連續的號誌時相,反而可能成為都市交通紊亂的元凶。
適應性號誌控制邏輯係透過偵測器取得車流需求資料,進行即時運算或動態查表,據以調整週期、時比與時差等交通號誌控制參數,或決策延長綠燈時間與否。其優點為可以即時反應路口車流型態,以降低路口延滯時間與停等次數。
本研究參考成功大學何志宏教授所發展之COMDYCS-3E適應性號誌控制邏輯,分別調整其三個模式內容,包含:發展轉向比估計模式、以格位傳遞模式進行車流預測及適應性號誌控制模式六級決策內容。藉由VISSIM的Signal Control API建構完整適應性號誌控制邏輯,在VISSIM模擬環境下評估號控邏輯之績效。
在幹道系統模擬實驗中,轉向比估計模式以LINDO API套裝軟體求解,其RMSE誤差值為0.07,而高流量需求情境顯示適應性號控績效可較固定時制與全觸動號誌控制改善5%以上延滯時間。
英文摘要 Traffic signal control has become the most important issue in urban traffic management. Traffic congestion occurs when pre-timed signal control could not meet the actual demand, such as inappropriate signal timing or discontinued phases in arterials.
Adaptive signal control logic obtains traffic flow data from vehicle detectors. According to the traffic prediction model and control logic, adaptive control calculates optimal signal decisions which could reduce delay and stops.
This research has developed three models from Taiwanese adaptive control logic called COMDYCS-3E, which includes turning proportion estimation model, traffic prediction with cell transmission model (CTM), and six steps timing decision process. We used Signal Control API from VISSIM software to establish adaptive signal control logic, and measured the performance by simulating in VISSIM environment.
After the traffic experiment of urban arterial, results showed that the RMSE of turning proportion estimation model is about 0.07. And adaptive signal control logic improves more than 5% system delay against pre-timed and fully actuated signal control.
論文目次 第一章、緒論 1
1.1 研究背景與動機 1
1.2 研究目的 3
1.3 研究對象與範圍 3
1.4 研究流程 4
第二章、文獻回顧 7
2.1 前言 7
2.2 路口轉向比推估邏輯 9
2.3 路段車流模式 14
2.3.1 基本車流模式 14
2.3.2 格位傳遞模式 15
2.4 適應性號誌控制邏輯 17
2.4.1 SCOOT 17
2.4.2 SCATS 18
2.4.3 ACS Lite 19
2.4.4 BALANCE & MOTION 20
2.4.5 OPAC 21
2.4.6 RHODES 23
2.4.7 InSync 23
2.4.8 COMDYCS-III 24
2.4.9 COMDYCS-3E 27
2.5 小結 28
第三章、研究方法及進行步驟 31
3.1 COMDYCS適應性號誌控制模式研究架構 31
3.1.1 COMDYCS車流推進與預測模式 31
3.1.2 適應性交控模式架構 37
3.2 適應性號誌控制邏輯架構 42
3.3 路口轉向比估計模式 47
3.4 路段車流推進與預測模式 49
3.4.1 格位傳遞模式 49
3.4.2 改良式格位傳遞模式 52
3.4.3 格位傳遞模式績效指標 54
3.5 適應性號誌控制模式 55
第四章、適應性號誌控制邏輯之構建 58
4.1 VISSIM微觀車流模擬軟體 58
4.2 適應性號誌控制邏輯演算流程 60
第五章、實證分析 67
5.1 研究假設與實驗設計 67
5.2 實驗結果與討論 68
5.2.1 改良式格位傳遞模式驗證 68
5.2.2 單一路口適應性號誌控制模式運作績效 70
5.2.3 轉向比估計模式於幹道群組之運作績效 73
5.2.4 幹道群組適應性號誌控制模式運作績效 76
5.2.5 適應性號誌控制邏輯績效之討論 77
第六章、結論與建議 78
6.1 結論 78
6.2 建議 79
參考文獻 80
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