本文關(guān)鍵詞：基于公交運(yùn)營數(shù)據(jù)的復(fù)雜公交線網(wǎng)靜態(tài)評價及優(yōu)化研究　出處：《天津大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

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【摘要】：城市公交政策是在一定的交通發(fā)展戰(zhàn)略控制之下,政府部門合理調(diào)控城市交通需求與供給、配置交通資源及經(jīng)濟(jì)負(fù)擔(dān)等一系列制約關(guān)系的管理手段,同時也是制定交通法規(guī)的基本依據(jù)。近年來,隨著國家“公交優(yōu)先發(fā)展”戰(zhàn)略的深入貫徹、公共交通基礎(chǔ)設(shè)施的逐步建設(shè)以及公共交通系統(tǒng)信息化程度的不斷提高,基于公交運(yùn)營數(shù)據(jù)的挖掘與分析及對于公交系統(tǒng)的規(guī)劃、調(diào)度算法研究的不斷深入,公共交通線網(wǎng)早期規(guī)劃的不合理、不均衡等問題隨著城市規(guī)模的增長也日漸顯露。如何提高公共交通系統(tǒng)運(yùn)營效率逐漸成為制約大城市公交運(yùn)力提升、中小城市城市化進(jìn)程以及公交系統(tǒng)整體實(shí)現(xiàn)跨越式發(fā)展的重點(diǎn)問題。針對上述問題,本文擬通過對城市道路公交線網(wǎng)的模型搭建以及對公交系統(tǒng)運(yùn)營中乘客乘車數(shù)據(jù)的挖掘與分析,評估公共交通系統(tǒng)資源占用情況,通過數(shù)理統(tǒng)計(jì)及可視化分析等方法,以降低并均衡公交系統(tǒng)資源占用為目的對公交線網(wǎng)進(jìn)行優(yōu)化,并通過基于原始乘客OD數(shù)據(jù)模擬并仿真線網(wǎng)變更后乘客群體的出行路徑數(shù)據(jù)對優(yōu)化結(jié)果予以驗(yàn)證。本研究課題的現(xiàn)實(shí)意義旨在滿足乘客群體出行需求與維持公共交通系統(tǒng)運(yùn)力不變的大前提下,盡可能減少對于公共交通資源的占用,并且使該占用分布更加均勻,以實(shí)際需求的驅(qū)動降低公共交通系統(tǒng)綜合運(yùn)營成本。本文將從智能交通大數(shù)據(jù)分析的角度切入,結(jié)合蟻群模型、復(fù)雜系統(tǒng)與網(wǎng)絡(luò)、數(shù)理統(tǒng)計(jì)、數(shù)據(jù)挖掘、數(shù)據(jù)可視化及圖論中相關(guān)基礎(chǔ)理論進(jìn)行研究,并對文中涉及的具體方法予以編程實(shí)現(xiàn)。
[Abstract]:Urban public transport policy is a series of management means to control the relationship between urban traffic demand and supply, allocate traffic resources and economic burden, and so on, under the control of certain traffic development strategy. In recent years, with the implementation of the national "public transport priority development" strategy. The gradual construction of public transport infrastructure and the continuous improvement of the degree of information of public transport system, based on the mining and analysis of public transport operation data and for the planning of public transport system, scheduling algorithm research continues to deepen. The problems of unreasonable and unbalanced planning of public transportation network in the early stage are becoming more and more obvious along with the growth of city scale. How to improve the efficiency of public transportation system has gradually become a constraint to the improvement of public transport capacity in large cities. Small and medium-sized cities urbanization process and the public transport system as a whole to achieve leapfrog development of the key issues. This paper aims to evaluate the resource occupation of public transport system by constructing the model of urban road transit network and mining and analyzing passenger data in the operation of public transport system. By means of mathematical statistics and visual analysis, the bus network is optimized in order to reduce and balance the occupation of public transportation system resources. The optimization results are verified by simulating and simulating the travel path data of passenger groups after the change of line network based on the original passenger OD data. The practical significance of this research is to meet the travel needs of passenger groups and maintain the public. Under the premise that the transportation capacity of the common transportation system remains unchanged. Minimize the use of public transport resources, and make the occupation more evenly distributed. Reduce the integrated operation cost of public transportation system by driving the actual demand. In this paper, from the perspective of intelligent transportation big data analysis, combined with ant colony model, complex systems and networks, mathematical statistics, data mining. The related basic theories in data visualization and graph theory are studied, and the specific methods involved in this paper are realized by programming.
【學(xué)位授予單位】：天津大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：U491.17

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本文編號：1439258