發(fā)布時間：2018-01-18 03:25

  本文關鍵詞：基于公交運營數(shù)據(jù)的復雜公交線網靜態(tài)評價及優(yōu)化研究　出處：《天津大學》2014年碩士論文　論文類型：學位論文

  更多相關文章： 智能交通 線網優(yōu)化 蟻群模型 數(shù)據(jù)分析 網絡均衡

【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,政府部門合理調控城市交通需求與供給、配置交通資源及經濟負擔等一系列制約關系的管理手段,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、公共交通基礎設施的逐步建設以及公共交通系統(tǒng)信息化程度的不斷提高,基于公交運營數(shù)據(jù)的挖掘與分析及對于公交系統(tǒng)的規(guī)劃、調度算法研究的不斷深入,公共交通線網早期規(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)運營效率逐漸成為制約大城市公交運力提升、中小城市城市化進程以及公交系統(tǒng)整體實現(xiàn)跨越式發(fā)展的重點問題。針對上述問題,本文擬通過對城市道路公交線網的模型搭建以及對公交系統(tǒng)運營中乘客乘車數(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進行優(yōu)化,并通過基于原始乘客OD數(shù)據(jù)模擬并仿真線網變更后乘客群體的出行路徑數(shù)據(jù)對優(yōu)化結果予以驗證。本研究課題的現(xiàn)實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,以實際需求的驅動降低公共交通系統(tǒng)綜合運營成本。本文將從智能交通大數(shù)據(jù)分析的角度切入,結合蟻群模型、復雜系統(tǒng)與網絡、數(shù)理統(tǒng)計、數(shù)據(jù)挖掘、數(shù)據(jù)可視化及圖論中相關基礎理論進行研究,并對文中涉及的具體方法予以編程實現(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.
【學位授予單位】：天津大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：U491.17

【參考文獻】

相關期刊論文 前10條

1 胡繼華;鄧俊;黃澤;;結合出行鏈的公交IC卡乘客下車站點判斷概率模型[J];交通運輸系統(tǒng)工程與信息;2014年02期

2 楊彥波;劉濱;祁明月;;信息可視化研究綜述[J];河北科技大學學報;2014年01期

3 徐強;;規(guī)劃公交線網和設置線路[J];人民公交;2014年01期

4 劉s，

本文編號：1439258