本文選題：公交客流 + 公交OD矩陣��； 參考：《重慶交通大學(xué)》2014年碩士論文

【摘要】：城市化進(jìn)程的不斷推進(jìn)，，使得城市居民面臨日漸嚴(yán)重的城市交通擁堵，加大公交發(fā)展力度能夠使其有效地緩解。但是，現(xiàn)狀公交一般實(shí)行首末站調(diào)度或者根據(jù)經(jīng)驗(yàn)制定車輛發(fā)車時(shí)刻表等調(diào)度方法，不能實(shí)現(xiàn)實(shí)時(shí)、動(dòng)態(tài)的調(diào)度而面臨較為嚴(yán)峻的挑戰(zhàn)。因此，對(duì)于公交調(diào)度優(yōu)化進(jìn)行研究具有重要的意義。 本文通過(guò)對(duì)車輛運(yùn)營(yíng)調(diào)度相關(guān)內(nèi)容的分析，提出基于公交客流動(dòng)態(tài)OD預(yù)測(cè)構(gòu)建車輛調(diào)度優(yōu)化模型的研究思路，并對(duì)構(gòu)建的公交線路區(qū)間車與全程車混合調(diào)度模型應(yīng)用遺傳算法進(jìn)行求解。具體研究方法為： 首先，基于目前發(fā)展迅速的IC卡技術(shù)，通過(guò)與公交GPS基礎(chǔ)信息、GIS相關(guān)信息以及可實(shí)現(xiàn)的數(shù)據(jù)實(shí)時(shí)傳輸技術(shù)，應(yīng)用數(shù)據(jù)的處理融合理論，實(shí)現(xiàn)了對(duì)線路公交客流OD的較為合理的推算，并提出了對(duì)區(qū)域內(nèi)公交客流OD的研究方法。 再者，通過(guò)研究公交站點(diǎn)輻射范圍內(nèi)公交出行能力，預(yù)測(cè)公交站點(diǎn)發(fā)生量和吸引量，并提出“一小時(shí)公交圈”的思路，在此基礎(chǔ)上實(shí)現(xiàn)對(duì)公交線路兩站點(diǎn)間任一時(shí)刻OD的動(dòng)態(tài)預(yù)測(cè)，為在此基礎(chǔ)上構(gòu)建車輛優(yōu)化調(diào)度模型提供數(shù)據(jù)支持。 最后，基于公交客流動(dòng)態(tài)OD的預(yù)測(cè)，建立了以公交乘客費(fèi)用與公交運(yùn)營(yíng)企業(yè)總的費(fèi)用最小為目標(biāo)的公交線路區(qū)間車與全程車混合調(diào)度優(yōu)化模型，通過(guò)遺傳算法對(duì)該優(yōu)化模型進(jìn)行求解，從而獲得了較為合理的公交線路車輛調(diào)度優(yōu)化方案，并選取重慶市內(nèi)公交線路實(shí)例對(duì)模型的可行性和實(shí)用性進(jìn)行了驗(yàn)證。 通過(guò)對(duì)公交線路調(diào)度優(yōu)化方案的可行性和實(shí)用性驗(yàn)證，能夠分析出基于公交客流OD動(dòng)態(tài)預(yù)測(cè)的車輛調(diào)度優(yōu)化模型在實(shí)踐操作中具有一定的應(yīng)用價(jià)值。
[Abstract]:With the development of urbanization, urban residents are facing more and more serious traffic jams, which can be effectively alleviated by increasing the development of public transport. However, the current bus scheduling methods, such as first and last station scheduling or vehicle departure schedule based on experience, can not achieve real-time, dynamic scheduling and face more severe challenges. Therefore, it is of great significance to study the optimization of bus dispatch. Based on the analysis of the related contents of vehicle operation and scheduling, this paper puts forward the research idea of constructing vehicle scheduling optimization model based on dynamic OD prediction of bus passenger flow. Genetic algorithm is used to solve the hybrid scheduling model of bus and whole vehicle. The specific research methods are as follows: First of all, based on the rapidly developing IC card technology, the data processing fusion theory is applied through the GIS-related information related to the basic information of bus GPS and the data real-time transmission technology that can be realized. The OD calculation of route bus passenger flow is realized, and the research method of bus passenger flow OD in the area is put forward. Furthermore, by studying the capacity of public transportation within the radiation range of public transport stations, we can predict the amount of public transport stations and the amount of attraction, and put forward the idea of "one hour bus circle". On this basis, the dynamic prediction of OD at any time between two bus stations is realized, which provides data support for the construction of vehicle optimal scheduling model on this basis. Finally, based on the dynamic OD prediction of bus passenger flow, a hybrid scheduling optimization model for bus line interval and whole vehicle is established, which aims at the minimum bus passenger cost and the total cost of public transport operation enterprises. The optimization model is solved by genetic algorithm, and a more reasonable vehicle scheduling scheme is obtained, and the feasibility and practicability of the model are verified by an example of bus routes in Chongqing. By verifying the feasibility and practicability of bus route scheduling optimization scheme, the vehicle scheduling optimization model based on OD dynamic prediction of bus passenger flow can be analyzed and has certain application value in practical operation.
【學(xué)位授予單位】：重慶交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：U491.17;U492.22

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 姚寶珍;于濱;楊忠振;;基于公交車到站時(shí)間預(yù)測(cè)的動(dòng)態(tài)滯站調(diào)度模型[J];北京工業(yè)大學(xué)學(xué)報(bào);2011年06期

2 戴霄,陳學(xué)武;單條公交線路的IC卡數(shù)據(jù)分析處理方法[J];城市交通;2005年04期

3 周濤;翟長(zhǎng)旭;高志剛;;基于公交IC卡數(shù)據(jù)的OD推算技術(shù)研究[J];城市交通;2007年03期

4 劉翠;陳洪仁;;公交線路客流OD矩陣推算方法研究[J];城市交通;2007年04期

5 張無(wú)非,張馳,嚴(yán)奇琦;對(duì)于公交汽車調(diào)度問(wèn)題的求解[J];工程數(shù)學(xué)學(xué)報(bào);2002年S1期

6 陳雪平;曾盛;胡剛;;基于BP神經(jīng)網(wǎng)絡(luò)的短時(shí)交通流預(yù)測(cè)[J];公路交通技術(shù);2008年03期

7 孫文霞;宋倜;喬國(guó)會(huì);;公交調(diào)度中發(fā)車間隔控制研究[J];河北工業(yè)大學(xué)學(xué)報(bào);2007年02期

8 朱從坤,丁建霆,陳瑜;公交線路OD反推的結(jié)構(gòu)化模型研究[J];哈爾濱工業(yè)大學(xué)學(xué)報(bào);2005年06期

9 劉鑫;何世偉;;基于隨機(jī)相關(guān)機(jī)會(huì)規(guī)劃的公交調(diào)度模型研究[J];交通標(biāo)準(zhǔn)化;2006年12期

10 黃小燕;周娟英;;公交調(diào)度的數(shù)學(xué)模型及解法[J];交通標(biāo)準(zhǔn)化;2010年17期

本文編號(hào)：1908112