基于遺傳算法的山區(qū)高等級公路縱斷面智能優(yōu)化方法研究
發(fā)布時間：2018-12-14 06:32
【摘要】：公路線形設(shè)計旨在以安全、環(huán)保、經(jīng)濟為基礎(chǔ),同時滿足全部設(shè)計規(guī)范和相關(guān)指標要求,是公路設(shè)計的重要組成部分。線形的設(shè)計方法由傳統(tǒng)的紙上定線到此后的虛擬環(huán)境選線、公路選線CAD技術(shù)等,研究思路也逐步轉(zhuǎn)向計算機輔助與人工智能領(lǐng)域,尤其是遺傳算法、粒子群算法、蟻群算法等眾多智能優(yōu)化算法的引入與不斷深入,大力推進了智能選線的發(fā)展且取得了里程碑式的巨大進步,為后續(xù)的研究奠定了堅實的科研基礎(chǔ),意義重大。然而,目前的公路線形設(shè)計大多依然基于相應(yīng)的AutoCAD輔助系統(tǒng),雖然相較于傳統(tǒng)方法減少了繁瑣的計算工作,但也存在信息顯示不夠直觀、難以獲得深入信息從而較難保證結(jié)果方案最優(yōu)的問題且設(shè)計效率與質(zhì)量有待提高。在此基礎(chǔ)上,基于“一帶一路”的國家戰(zhàn)略發(fā)展需要及國內(nèi)廣大山嶺區(qū)域發(fā)展需求的大背景,在合理考慮山區(qū)高等級公路建設(shè)需求的前提下,能夠較為全面地兼顧各類復(fù)雜影響因素,同時最低程度地影響生態(tài)環(huán)境且滿足國民生產(chǎn)與生活中對交通安全、運輸高效、行車舒適等方面需求的山區(qū)高等級公路縱斷面智能優(yōu)化設(shè)計方法成為了當(dāng)下公路選線領(lǐng)域的研究熱點。論文基于遺傳算法的現(xiàn)有研究基礎(chǔ),結(jié)合國內(nèi)山區(qū)高等級公路線形設(shè)計專家經(jīng)驗,提出了基于遺傳算法的山區(qū)高等級公路縱斷面智能優(yōu)化方法。該方法相較于傳統(tǒng)縱斷面設(shè)計的研究引入并分析、考慮了平均坡度、緩和坡段等具有山區(qū)選線的重要約束,能夠更好地解決國內(nèi)山區(qū)地形條件下的縱斷面設(shè)計問題,論文完成了以下幾項工作：(1)研究并介紹了山區(qū)地形條件下高等級公路選線的基本原則和縱斷面線形設(shè)計的研究思路以及相關(guān)參數(shù)的選擇。(2)構(gòu)建了基于遺傳算法的山區(qū)高等級公路縱斷面智能優(yōu)化系統(tǒng)的總體框架,梳理了研究思路并對其進行了功能定位、方法探討以及特點分析,確定了優(yōu)化的主要流程。(3)基于我國山區(qū)特點以及高等級公路設(shè)計相關(guān)要求,分析并適當(dāng)調(diào)整研究思路旨在更貼近工程實際,以工程量、運營、交通安全和環(huán)境影響等方面為目標展開討論并建立較為客觀的評價機制,構(gòu)建了專門針對山區(qū)地形條件的高等級公路縱斷面智能優(yōu)化模型。(4)介紹、分析、總結(jié)了遺傳算法的基本原理及各類方法特點,結(jié)合課題實際對編碼方法、遺傳算子、終止準則等進行了調(diào)整與改進以滿足高質(zhì)、高效的優(yōu)化要求。(5)基于Microsoft Visual Studio運用C#語言開發(fā)了山區(qū)高等級公路縱斷面智能優(yōu)化系統(tǒng)。以荊州市某山嶺二級公路實際項目資料為基礎(chǔ)進行對比分析,驗證了優(yōu)化結(jié)果不亞于人工設(shè)計方案,且縮短了設(shè)計周期,提升了設(shè)計效率,具有一定應(yīng)用研究價值。
[Abstract]:Highway alignment design is an important part of highway design, which is based on safety, environmental protection and economy, and meets the requirements of all design specifications and related indexes. The method of linear design from traditional paper alignment to virtual environment route selection, highway route selection CAD technology and so on, also gradually turned to the fields of computer aided and artificial intelligence, especially genetic algorithm, particle swarm optimization algorithm, etc. The introduction and deepening of many intelligent optimization algorithms, such as ant colony algorithm, has greatly promoted the development of intelligent route selection and made great progress in milestone, which has laid a solid foundation for further research and is of great significance. However, most of the current highway alignment design is still based on the corresponding AutoCAD auxiliary system, although compared with the traditional method to reduce the tedious calculation work, but there is not enough information display intuitive, It is difficult to obtain in-depth information so as to ensure the optimal result scheme and the design efficiency and quality need to be improved. On this basis, on the basis of the national strategic development needs of "Belt and Road" and the background of the development needs of the vast mountain regions in China, and on the premise of reasonably considering the demand for the construction of high-grade highways in mountainous areas, To be able to take into account all kinds of complex influence factors, at the same time, to influence the ecological environment to the lowest extent and to meet the needs of traffic safety and transportation efficiency in national production and daily life, The intelligent optimization design method of vertical section of high grade highway in mountainous area has become the research hotspot in the field of highway route selection. Based on the existing research foundation of genetic algorithm and the experience of the domestic experts of highway alignment design in mountainous area, a genetic algorithm based intelligent optimization method for vertical section of high grade highway in mountainous area is put forward in this paper. Compared with the traditional research on vertical section design, this method is introduced and analyzed, which takes into account the important constraints of line selection in mountainous areas, such as average slope gradient and gentle slope section, which can better solve the problem of vertical section design under the condition of mountainous terrain in China. The main contents of this paper are as follows: (1) the basic principles of high grade highway route selection under terrain conditions in mountainous areas, the research ideas of longitudinal section alignment design and the selection of related parameters are studied and introduced. (2) the foundation is constructed. The general framework of intelligent optimization system of vertical section of mountain highway based on genetic algorithm, The main flow of optimization is determined. (3) based on the characteristics of China's mountainous areas and the related requirements of highway design, the paper analyzes the function of the research, discusses the methods and features of the research, and determines the main process of optimization. (3) based on the characteristics of China's mountainous areas and the related requirements of high-grade highway design, The purpose of this paper is to analyze and adjust the research ideas more closely to the engineering practice, to discuss the project quantity, operation, traffic safety and environmental impact, and to establish an objective evaluation mechanism. The intelligent optimization model of vertical section of high grade highway is built according to the terrain condition of mountain area. (4) introduce, analyze, sum up the basic principle of genetic algorithm and the characteristics of all kinds of methods, combine with the actual project to code method, genetic operator, The termination criteria are adjusted and improved to meet the requirements of high quality and high efficiency optimization. (5) based on Microsoft Visual Studio, an intelligent optimization system for vertical section of high grade highway in mountainous area is developed by using C # language. Based on the actual project data of a mountain second-class highway in Jingzhou City, it is verified that the optimization result is no less than that of the manual design scheme, and the design cycle is shortened, the design efficiency is improved, and it has certain application and research value.
【學(xué)位授予單位】：昆明理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：U412;TP18
本文編號：2378104
[Abstract]:Highway alignment design is an important part of highway design, which is based on safety, environmental protection and economy, and meets the requirements of all design specifications and related indexes. The method of linear design from traditional paper alignment to virtual environment route selection, highway route selection CAD technology and so on, also gradually turned to the fields of computer aided and artificial intelligence, especially genetic algorithm, particle swarm optimization algorithm, etc. The introduction and deepening of many intelligent optimization algorithms, such as ant colony algorithm, has greatly promoted the development of intelligent route selection and made great progress in milestone, which has laid a solid foundation for further research and is of great significance. However, most of the current highway alignment design is still based on the corresponding AutoCAD auxiliary system, although compared with the traditional method to reduce the tedious calculation work, but there is not enough information display intuitive, It is difficult to obtain in-depth information so as to ensure the optimal result scheme and the design efficiency and quality need to be improved. On this basis, on the basis of the national strategic development needs of "Belt and Road" and the background of the development needs of the vast mountain regions in China, and on the premise of reasonably considering the demand for the construction of high-grade highways in mountainous areas, To be able to take into account all kinds of complex influence factors, at the same time, to influence the ecological environment to the lowest extent and to meet the needs of traffic safety and transportation efficiency in national production and daily life, The intelligent optimization design method of vertical section of high grade highway in mountainous area has become the research hotspot in the field of highway route selection. Based on the existing research foundation of genetic algorithm and the experience of the domestic experts of highway alignment design in mountainous area, a genetic algorithm based intelligent optimization method for vertical section of high grade highway in mountainous area is put forward in this paper. Compared with the traditional research on vertical section design, this method is introduced and analyzed, which takes into account the important constraints of line selection in mountainous areas, such as average slope gradient and gentle slope section, which can better solve the problem of vertical section design under the condition of mountainous terrain in China. The main contents of this paper are as follows: (1) the basic principles of high grade highway route selection under terrain conditions in mountainous areas, the research ideas of longitudinal section alignment design and the selection of related parameters are studied and introduced. (2) the foundation is constructed. The general framework of intelligent optimization system of vertical section of mountain highway based on genetic algorithm, The main flow of optimization is determined. (3) based on the characteristics of China's mountainous areas and the related requirements of highway design, the paper analyzes the function of the research, discusses the methods and features of the research, and determines the main process of optimization. (3) based on the characteristics of China's mountainous areas and the related requirements of high-grade highway design, The purpose of this paper is to analyze and adjust the research ideas more closely to the engineering practice, to discuss the project quantity, operation, traffic safety and environmental impact, and to establish an objective evaluation mechanism. The intelligent optimization model of vertical section of high grade highway is built according to the terrain condition of mountain area. (4) introduce, analyze, sum up the basic principle of genetic algorithm and the characteristics of all kinds of methods, combine with the actual project to code method, genetic operator, The termination criteria are adjusted and improved to meet the requirements of high quality and high efficiency optimization. (5) based on Microsoft Visual Studio, an intelligent optimization system for vertical section of high grade highway in mountainous area is developed by using C # language. Based on the actual project data of a mountain second-class highway in Jingzhou City, it is verified that the optimization result is no less than that of the manual design scheme, and the design cycle is shortened, the design efficiency is improved, and it has certain application and research value.
【學(xué)位授予單位】：昆明理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：U412;TP18
【參考文獻】
相關(guān)期刊論文 前8條
1 劉朝陽，，任福田;公路縱斷面計算機自動設(shè)計[J];北京工業(yè)大學(xué)學(xué)報;1994年01期
2 程建川,李方;公路幾何設(shè)計中橫斷面計算方法[J];公路;1997年06期
3 陳永勝,高耀華;高速公路縱面設(shè)計微觀事故預(yù)測模型研究[J];公路交通科技;2001年02期
4 魏建軍;付學(xué)軍;;西南山區(qū)公路建設(shè)施工期的環(huán)境保護[J];公路交通技術(shù);2006年02期
5 劉志強;王運霞;黃成;;道路縱斷面線形與交通安全的關(guān)系研究[J];華東公路;2008年05期
6 許金良,王海君,楊少偉;基于遺傳算法的公路縱斷面優(yōu)化[J];交通運輸工程學(xué)報;2003年02期
7 葉霞飛,許愷;鐵路縱斷面設(shè)計優(yōu)化的動態(tài)規(guī)劃模型[J];上海鐵道大學(xué)學(xué)報;2000年10期
8 易思蓉;虛擬環(huán)境選線系統(tǒng)中的知識表達模式[J];鐵道學(xué)報;2004年01期
相關(guān)博士學(xué)位論文 前1條
1 易思蓉;虛擬環(huán)境鐵路選線設(shè)計系統(tǒng)的理論與方法研究[D];西南交通大學(xué);2000年
本文編號：2378104
本文鏈接：http://sikaile.net/kejilunwen/daoluqiaoliang/2378104.html
