本文關(guān)鍵詞：平行交通系統(tǒng)的可信度評估方法研究　出處：《北京交通大學》2014年碩士論文　論文類型：學位論文

  更多相關(guān)文章： 平行交通系統(tǒng) 可信度 評估模型 預測模型 計算實驗

【摘要】：摘要：在平行交通系統(tǒng)中,可信度是指人工交通系統(tǒng)和實際交通系統(tǒng)的一致性程度�？尚哦仍u估對平行交通系統(tǒng)的開發(fā)和應(yīng)用具有重要意義。只有保證平行交通系統(tǒng)具有足夠可信度,最終得到的結(jié)果才具有實際應(yīng)用的價值和意義。但是目前,平行交通系統(tǒng)領(lǐng)域內(nèi)關(guān)于可信度的研究還寥寥無幾。在此背景之下,本文在平行系統(tǒng)的ACP方法體系(人工系統(tǒng)、計算實驗、平行執(zhí)行)的理論基礎(chǔ)上,提出了一種基于區(qū)間二型模糊邏輯的平行交通系統(tǒng)可信度評估方法。這種評估方法以區(qū)間二型模糊邏輯建立的預測模型為基礎(chǔ),結(jié)合平行交通系統(tǒng)的計算實驗,組成了整個評估模型,并實現(xiàn)了對平行交通系統(tǒng)的可信度評估。 本文的研究工作主要為以下幾方面： 介紹了平行交通系統(tǒng)的思想、所包含的內(nèi)容以及其結(jié)構(gòu)體系；闡述了可信度和可信度評估方法；提出并確定了平行交通系統(tǒng)中可信度的概念及研究方法。 建立了基于區(qū)間二型模糊集合的評估模型。本文的評估模型是一種“預測加比較”的體系結(jié)構(gòu),其以實際系統(tǒng)的預測模型為基礎(chǔ)和關(guān)鍵環(huán)節(jié),利用二型模糊邏輯的相關(guān)理論建立了實際系統(tǒng)的預測模型,然后根據(jù)預測模型產(chǎn)生的預測區(qū)間和計算實驗所得數(shù)據(jù)相比較,成功建立了平行交通的可信度評估模型。 將評估模型應(yīng)用到公交車乘客平均候車時間的計算實驗中。本文對平行交通系統(tǒng)中平均候車時間這一關(guān)鍵問題進行了計算實驗,通過多次實驗得到了不同的實驗結(jié)果,利用實際系統(tǒng)的預測區(qū)間對實驗結(jié)果進行了誤差分析,并嘗試利用誤差反饋來調(diào)節(jié)人工交通系統(tǒng)內(nèi)部參數(shù)。 仿真結(jié)果表明,基于區(qū)間二型模糊集合的評估模型在平行系統(tǒng)的可信度評估工作中是適用的,并取得了一定的成果。同時,正確適當?shù)恼{(diào)節(jié)系統(tǒng)內(nèi)部參數(shù)可減小平行系統(tǒng)的輸出誤差,從一定程度上實現(xiàn)了誤差反饋調(diào)節(jié)功能。
[Abstract]:Absrtact: in parallel traffic systems. Credibility refers to the degree of consistency between artificial traffic system and actual traffic system. Reliability evaluation is of great significance to the development and application of parallel traffic system. Only to ensure that parallel traffic system has sufficient credibility. The final results have practical value and significance. However, there are few researches on credibility in the field of parallel traffic system. This paper is based on the theory of ACP method system (manual system, computational experiment, parallel execution) of parallel system. A reliability evaluation method for parallel traffic systems based on interval 2 fuzzy logic is proposed. The evaluation method is based on the prediction model established by interval 2 fuzzy logic and combined with parallel traffic system calculation experiments. The whole evaluation model is formed, and the reliability evaluation of parallel traffic system is realized. The main work of this paper is as follows: This paper introduces the idea of parallel traffic system, its contents and its structure system, expounds the reliability and reliability evaluation methods, and puts forward and determines the concept and research method of reliability in parallel traffic system. An evaluation model based on interval type 2 fuzzy set is established. The evaluation model in this paper is a "prediction plus comparison" architecture, which is based on the prediction model of the actual system and the key link. The prediction model of the actual system is established by using the theory of type 2 fuzzy logic, and then the prediction interval generated by the prediction model is compared with the data obtained from the calculation experiment. The reliability evaluation model of parallel traffic is established successfully. The evaluation model is applied to the calculation experiment of the average waiting time of bus passengers. In this paper, the key problem of the average waiting time in parallel traffic system is calculated. Different experimental results are obtained through several experiments. The error analysis of the experimental results is carried out by using the prediction interval of the actual system, and the error feedback is used to adjust the internal parameters of the artificial traffic system. The simulation results show that the evaluation model based on interval type 2 fuzzy sets is applicable to the reliability evaluation of parallel systems and has achieved certain results. The output error of the parallel system can be reduced by adjusting the internal parameters of the system correctly and properly, and the error feedback regulation function is realized to a certain extent.
【學位授予單位】：北京交通大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：U491

【參考文獻】

相關(guān)期刊論文 前4條

1 王飛躍;;關(guān)于復雜系統(tǒng)的建模、分析、控制和管理[J];復雜系統(tǒng)與復雜性科學;2006年02期

2 鄭高;肖建;;基于區(qū)間二型模糊邏輯的電力負荷預測研究[J];電機與控制學報;2012年09期

3 黃文德;王威;徐昕;郗曉寧;;基于ACP方法的載人登月中止規(guī)劃的計算實驗研究[J];自動化學報;2012年11期

4 張偉斌;胡懷中;劉文江;;基于二型模糊邏輯的交通流量預測[J];西安交通大學學報;2007年10期

相關(guān)博士學位論文 前1條

1 鄭高;二型模糊系統(tǒng)模糊性測度及其在電力負荷預測中的應(yīng)用研究[D];西南交通大學;2011年

，

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