本文選題：信號(hào)交叉口　切入點(diǎn)：多目標(biāo)規(guī)劃　出處：《湖南大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：隨著城市私人小汽車保有量的迅速增加，道路交通擁堵現(xiàn)象日益嚴(yán)重，環(huán)境污染問(wèn)題越來(lái)越受到人們的廣泛關(guān)注。信號(hào)交叉口的通行效率對(duì)整個(gè)交通系統(tǒng)的運(yùn)行起著至關(guān)重要的作用。以往的信控交叉口控制研究方法大多只考慮交通運(yùn)行效率指標(biāo)，很少將減排問(wèn)題考慮在內(nèi)，因此，提出一個(gè)兼顧交通流情況和尾氣排放情況的交叉口信號(hào)優(yōu)化方法具有重要的理論意義和實(shí)用價(jià)值。 本文在既有研究成果的基礎(chǔ)上，分析信號(hào)交叉口配時(shí)研究的內(nèi)涵和意義，選取車輛在信號(hào)交叉口的延誤、通行能力和CO排放量作為綜合評(píng)價(jià)交叉口效率和進(jìn)行信號(hào)配時(shí)的基礎(chǔ)，將模糊折中規(guī)劃多目標(biāo)理論引入到信號(hào)配時(shí)模型構(gòu)建中，并通過(guò)構(gòu)造模糊偏好矩陣計(jì)算三個(gè)隸屬度函數(shù)的權(quán)重，將其轉(zhuǎn)為無(wú)量綱的單目標(biāo)函數(shù)，建立了基于低碳交通的信號(hào)交叉口優(yōu)化控制模型。將改進(jìn)的粒子群算法和基于低碳交通的信號(hào)交叉口優(yōu)化控制模型相結(jié)合，設(shè)計(jì)了模型的求解步驟。在實(shí)地調(diào)查交通數(shù)據(jù)的基礎(chǔ)上，選取清遠(yuǎn)市典型交叉口進(jìn)行配時(shí)模型的案例分析，采用動(dòng)態(tài)加速常數(shù)協(xié)同慣性權(quán)重粒子群優(yōu)化算法（WCPSO）對(duì)單目標(biāo)函數(shù)進(jìn)行求解，分別得到了單目標(biāo)函數(shù)在p=1、p=2、p=+∞三種情況下的各相位的有效綠燈時(shí)間，并通過(guò)已構(gòu)建的信號(hào)配時(shí)模型獲取交叉口的延誤、通行能力和CO排放量數(shù)值，同時(shí)基于上述三個(gè)影響因素分析比較得出最佳的信號(hào)配時(shí)方案。 本研究運(yùn)用美國(guó)微觀交通仿真軟件TSIS對(duì)案例交叉口進(jìn)行交通仿真以驗(yàn)證優(yōu)化模型的有效性。仿真結(jié)果表明，，優(yōu)化配時(shí)方案后的交叉口的每車延誤比現(xiàn)狀配時(shí)下的延誤減少了9.7%，排隊(duì)長(zhǎng)度減少了15%，CO排放量減少10%，平均車速提高5.8%，交叉口服務(wù)水平得到顯著提高。優(yōu)化方案縮短了信號(hào)周期時(shí)間，重新分配了綠信比，使得車輛在交叉口的等待時(shí)間相應(yīng)縮短，避免了原來(lái)所形成的沖突點(diǎn)，使車輛運(yùn)行狀態(tài)有所改善，整個(gè)交叉口的交通運(yùn)行狀況得到極大的提高。
[Abstract]:With the rapid increase in the number of private cars in urban areas, the traffic congestion on the roads is becoming more and more serious. More and more people pay attention to the problem of environmental pollution. The traffic efficiency of signalized intersections plays an important role in the operation of the whole traffic system. The problem of emission reduction is rarely taken into account, so it is of great theoretical significance and practical value to propose a method of intersection signal optimization which takes traffic flow and exhaust emission into account. On the basis of the existing research results, this paper analyzes the connotation and significance of the timing research at signalized intersections, and selects the delay of vehicles at signalized intersections. Traffic capacity and CO emissions are the basis of comprehensive evaluation of intersection efficiency and signal timing. Fuzzy compromise planning multi-objective theory is introduced into signal timing model construction. The weight of three membership functions is calculated by constructing fuzzy preference matrix, which is transformed into a dimensionless single-objective function. The optimal control model of signalized intersection based on low carbon traffic is established, and the improved particle swarm optimization algorithm is combined with the optimal control model of signalized intersection based on low carbon traffic. Based on the field investigation of traffic data, the typical intersection in Qingyuan City is selected to carry out the case study of time matching model. The dynamic acceleration constant cooperative inertial weight particle swarm optimization (WCPSO) algorithm is used to solve the single objective function. The effective green time of each phase of the single objective function is obtained in the case of p1 / p1 / 2 / 2 ~ (2) p = 鈭

本文編號(hào)：1642330