本文選題：交通運輸工程 + 公路網(wǎng)規(guī)劃�。� 參考：《長安大學》2014年碩士論文

【摘要】：隨著社會經(jīng)濟發(fā)展，客運量、貨運量與日俱增，對交通基礎(chǔ)設(shè)施的配置提出了更高的要求。公路網(wǎng)作為交通運輸系統(tǒng)的重要組成部分，在滿足運輸需求方面發(fā)揮著重要作用。但是，我國公路網(wǎng)往往與運輸需求不匹配，并由此產(chǎn)生諸多問題，為解決這些問題，使公路網(wǎng)更好地服務于所有道路使用者，須深入研究路網(wǎng)規(guī)劃理論并將理論付諸實踐。 本論文先從國內(nèi)外學者在公路網(wǎng)規(guī)劃方面取得的成果入手，研究公路網(wǎng)的規(guī)劃思路與布局原則，然后嚴格按照交通運輸部頒行的《公路網(wǎng)規(guī)劃編制辦法》的步驟，對規(guī)劃區(qū)域內(nèi)節(jié)點的相關(guān)指標直接進行聚類。本論文為了能夠如實反映各指標對其節(jié)點在重要程度上的影響，未對各指標分配權(quán)重然后線性求和得出重要度，而是采用親和力傳播（AP）算法將節(jié)點指標的主成分進行聚類，然后轉(zhuǎn)化為真實指標下的結(jié)果。該改進的聚類方法能夠有效避免傳統(tǒng)節(jié)點重要度聚類法因各指標求和而削弱節(jié)點差異性的弊端�；诠�(jié)點聚類結(jié)果采用集彈性系數(shù)法、曲線擬合法、灰色預測法和神經(jīng)網(wǎng)絡法于一體的組合算法預測交通量，為公路網(wǎng)起訖點的布設(shè)及公路的容量規(guī)劃奠定基礎(chǔ)，最后建立公路網(wǎng)評價體系對規(guī)劃方案進行評價，并采用天水市公路網(wǎng)絡規(guī)劃作為實例，對規(guī)劃方案的模型進行仿真檢驗。 評價結(jié)果表明本論文提出的公路網(wǎng)絡規(guī)劃方案改善了研究區(qū)域當前路網(wǎng)的運行質(zhì)量，并在規(guī)劃年份能夠與運輸需求的增長相匹配。此外，本文提出的規(guī)劃模型易于理解，計算過程易于操作，有良好的普適性，對公路網(wǎng)絡規(guī)劃具有一定的借鑒意義。
[Abstract]:With the development of social economy, passenger and freight traffic are increasing day by day, which puts forward higher requirements for the allocation of transportation infrastructure. As an important part of transportation system, highway network plays an important role in meeting transportation demand. However, the highway network of our country often does not match with the transportation demand, and many problems arise therefrom. In order to solve these problems and make the highway network serve all the road users better, it is necessary to deeply study the theory of road network planning and put the theory into practice. This paper begins with the achievements of scholars at home and abroad in highway network planning, studies the planning ideas and layout principles of highway network, and then strictly follows the steps of "Highway Network Planning compilation method" issued by the Ministry of Transport. The related indexes of the nodes in the planning area are clustered directly. In this paper, in order to reflect the influence of each index on the importance of the node, we do not assign the weight to each index and obtain the importance by linear summation. Instead, we cluster the principal components of the node index by affinity propagation (APP) algorithm. It is then translated into results under real indicators. The improved clustering method can effectively avoid the disadvantage of the traditional node importance clustering method which weakens the node diversity because of the summation of each index. Based on the results of node clustering, the combined algorithm, which integrates elastic coefficient method, curve fitting method, grey forecasting method and neural network method, is used to forecast traffic volume, which lays a foundation for the layout of starting and ending points of highway network and the capacity planning of highway. Finally, the evaluation system of highway network is set up to evaluate the planning scheme, and the model of the planning scheme is tested by simulation using Tianshui highway network planning as an example. The evaluation results show that the proposed highway network planning scheme in this paper improves the operation quality of the current road network in the study area and can match the increase of transportation demand in the planning year. In addition, the planning model proposed in this paper is easy to understand, the calculation process is easy to operate, and has good universality, which is useful for highway network planning.
【學位授予單位】：長安大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：U412.12

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