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Adaptive control strategy for isolated intersection and traffic network.

機(jī)譯：隔離路口和交通網(wǎng)絡(luò)的自適應(yīng)控制策略。

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摘要

Traffic congestion due to increased travel demands is a common problem in urban areas across the United States. Among the many solutions to traffic congestion, operational treatment providing more efficient traffic operation is attractive due to its relatively low cost. Besides traditional operation treatments such as actuated control and signal coordination, adaptive signal control strategies have becoming increasingly popular since 1980s. The advantages of the existing adaptive control strategies, such as SCATS, SCOOT, OPAC and RHODES, over the actuated control scheme are reviewed and their limitations are used as the basis for improvement in this research. Two adaptive control logics, PODE and GABNOR, are proposed for isolated intersection and traffic network optimization. By using real-time traffic as input, PODE dynamically searches movement combinations for phasing and timing decisions that minimize piecewise system delay. In GABNOR, the obstacles preventing the application of Genetic Algorithm in real-time have been addressed and possible solutions have been presented. Implemented as computer programs, PODE and GABNOR are compared with other control logics and show competitive optimization ability. The results have been analyzed with statistic tools and the system sensitivity to traffic arrival pattern and system parameters are also analyzed. Future works are introduced to further examine and improve the performance of PODE and GABNOR.
機(jī)譯：由于旅行需求增加引起的交通擁堵是美國整個城市地區(qū)的普遍問題。在許多解決交通擁堵的方法中，提供更有效的交通運(yùn)營的運(yùn)營處理由于其相對較低的成本而具有吸引力。自從1980年代以來，除了傳統(tǒng)的操作方法（如致動控制和信號協(xié)調(diào)）外，自適應(yīng)信號控制策略也越來越流行。綜述了現(xiàn)有的自適應(yīng)控制策略（例如SCATS，SCOOT，OPAC和RHODES）在驅(qū)動控制方案上的優(yōu)勢，并將其局限性作為改進(jìn)本研究的基礎(chǔ)。提出了兩種自適應(yīng)控制邏輯PODE和GABNOR，用于隔離路口和交通網(wǎng)絡(luò)優(yōu)化。通過使用實時流量作為輸入，PODE可以動態(tài)搜索運(yùn)動組合，以進(jìn)行定相和時序決策，從而最大程度地減少分段系統(tǒng)延遲。在GABNOR中，解決了阻礙實時應(yīng)用遺傳算法的障礙，并提出了可能的解決方案。作為計算機(jī)程序?qū)崿F(xiàn)的PODE和GABNOR與其他控制邏輯進(jìn)行比較，并顯示出競爭性的優(yōu)化能力。使用統(tǒng)計工具對結(jié)果進(jìn)行了分析，并分析了系統(tǒng)對交通到達(dá)模式和系統(tǒng)參數(shù)的敏感性。介紹了將來的工作，以進(jìn)一步檢查和改進(jìn)PODE和GABNOR的性能。

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  • 作者

    Shao, Chun.;

  • 作者單位

    The University of Akron.;

  • 授予單位 The University of Akron.;
  • 學(xué)科 Engineering Civil.;Transportation.
  • 學(xué)位 Ph.D.
  • 年度 2009
  • 頁碼 118 p.
  • 總頁數(shù) 118
  • 原文格式 PDF
  • 正文語種 eng
  • 中圖分類 建筑科學(xué);綜合運(yùn)輸;
  • 關(guān)鍵詞

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