本文選題：控規(guī) + 容積率　； 參考：《長(zhǎng)安大學(xué)》2016年碩士論文

【摘要】：路網(wǎng)容量用于衡量路網(wǎng)的承載能力。通常以高峰小時(shí)通行能力水平作為容量測(cè)度標(biāo)準(zhǔn),為考慮不同時(shí)刻路網(wǎng)交通負(fù)荷的波動(dòng)差別,使得計(jì)算結(jié)果存在與路網(wǎng)運(yùn)行臨界狀態(tài)不一致的可能性。本文引入了動(dòng)態(tài)仿真模型及采用歐拉公式設(shè)計(jì)PA遞增方法,旨在描述狀態(tài)路網(wǎng)在高峰時(shí)刻的動(dòng)態(tài)變化特點(diǎn)及從不同PA下的路網(wǎng)狀態(tài)變化結(jié)果中,判斷出路網(wǎng)臨界狀態(tài),并以此作為測(cè)度標(biāo)準(zhǔn),推導(dǎo)PA的極大值。分析動(dòng)態(tài)仿真過(guò)程中路徑獲取及車輛包瞬時(shí)位置確定,設(shè)計(jì)了占有率和車速標(biāo)準(zhǔn)差指標(biāo);在PA遞增方法及動(dòng)態(tài)模型的基礎(chǔ)上構(gòu)建了PA遞增模型,獲得5組不同PA值下路網(wǎng)狀態(tài)結(jié)果,在路網(wǎng)結(jié)果特征分析中發(fā)現(xiàn)高峰內(nèi)瞬時(shí)段占有率介于0.2與0.3之間或平均行程車速約等于10km/h時(shí),路網(wǎng)占有率、車速、車速標(biāo)準(zhǔn)差及延誤多個(gè)指標(biāo)抵達(dá)臨界值且可在高峰結(jié)束后恢復(fù)至初始態(tài),獲取路網(wǎng)運(yùn)行臨界條件;在該條件約束下,基于雙層規(guī)劃法構(gòu)建了PA反推模型,計(jì)算出PA極大值結(jié)果—路網(wǎng)容量;采用高峰小時(shí)交通出行生成模型計(jì)算出與容量對(duì)應(yīng)的容積率。研究表明,新的PA遞增方法解決了遞增固定值后導(dǎo)致相鄰兩個(gè)路網(wǎng)狀態(tài)間差異大、不連貫的問(wèn)題;動(dòng)態(tài)仿真中占有率和車速標(biāo)準(zhǔn)差等指標(biāo)可用于分析PA遞增過(guò)程中路網(wǎng)狀態(tài)間的連續(xù)變化及高峰內(nèi)的動(dòng)態(tài)變化,說(shuō)明動(dòng)態(tài)仿真可表征路網(wǎng)負(fù)荷的動(dòng)態(tài)變化;以路網(wǎng)運(yùn)行臨界狀態(tài)為約束條件的PA反推模型計(jì)算出的極大值結(jié)果與HCM2000標(biāo)準(zhǔn)的評(píng)價(jià)結(jié)果一致,說(shuō)明模型具備一定的科學(xué)性。本文提出的研究方法提高了路網(wǎng)容量的求解精度,將其用于輔助控規(guī)階段容積率制定,為解決城市土地使用與交通出行供需平衡提供了參考。
[Abstract]:Network capacity is used to measure the bearing capacity of a network. Usually, the peak hour capacity level is taken as the standard of capacity measurement. In order to consider the fluctuation of traffic load at different times, it is possible that the calculation results are inconsistent with the critical state of road network operation. In this paper, the dynamic simulation model and Euler formula are introduced to design PA increment method. The purpose of this paper is to describe the dynamic change characteristics of the state road network at the peak time and to judge the critical state of the road network from the results of the road network state changes under different PA conditions. The maximum value of PA is deduced by using it as a measure standard. After analyzing the path acquisition and the instantaneous position determination of the vehicle package in the dynamic simulation process, the occupation rate and the speed standard deviation index are designed, and the PA increment model is constructed on the basis of PA incremental method and dynamic model. Five groups of road network status results under different PA values were obtained. In the analysis of road network results, it was found that when the instantaneous occupation rate of the peak was between 0. 2 and 0. 3 or the average travel speed was about equal to 10km/h, the road network occupancy rate and the speed of the road network were increased. The speed standard deviation and the delay of several indexes reach the critical value and can be restored to the initial state after the peak, and the critical condition of the road network operation is obtained. Under the constraint of the critical condition, the PA backstepping model is constructed based on the bilevel programming method. The maximum value of PA, the capacity of the road network, is calculated, and the volume ratio corresponding to the capacity is calculated by using the peak hour traffic trip generation model. The research shows that the new PA incremental method solves the problem that the difference between the two adjacent road network states is big and inconsistent after increasing the fixed value. The index of occupation and speed standard deviation in dynamic simulation can be used to analyze the continuous change of road network state and the dynamic change in peak in the process of PA increasing, which shows that dynamic simulation can represent the dynamic change of road network load. The maximum value calculated by PA backstepping model with critical condition of road network operation is consistent with that of HCM2000 standard, which shows that the model is scientific. The research method proposed in this paper improves the accuracy of solving the capacity of the road network, and applies it to the formulation of the volume ratio in the auxiliary planning stage, which provides a reference for solving the balance between the demand and supply of urban land use and traffic travel.
【學(xué)位授予單位】：長(zhǎng)安大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類號(hào)】：U491

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 于善初;傅白白;李昀軒;;基于交通供需平衡的控規(guī)土地開(kāi)發(fā)強(qiáng)度控制研究[J];山東建筑大學(xué)學(xué)報(bào);2014年04期

2 王建;鄧衛(wèi);;基于交叉口多相位信號(hào)控制的路網(wǎng)容量[J];東南大學(xué)學(xué)報(bào)(自然科學(xué)版);2013年04期

3 全永q，

本文編號(hào)：2054620