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

【摘要】：路網容量用于衡量路網的承載能力。通常以高峰小時通行能力水平作為容量測度標準,為考慮不同時刻路網交通負荷的波動差別,使得計算結果存在與路網運行臨界狀態(tài)不一致的可能性。本文引入了動態(tài)仿真模型及采用歐拉公式設計PA遞增方法,旨在描述狀態(tài)路網在高峰時刻的動態(tài)變化特點及從不同PA下的路網狀態(tài)變化結果中,判斷出路網臨界狀態(tài),并以此作為測度標準,推導PA的極大值。分析動態(tài)仿真過程中路徑獲取及車輛包瞬時位置確定,設計了占有率和車速標準差指標;在PA遞增方法及動態(tài)模型的基礎上構建了PA遞增模型,獲得5組不同PA值下路網狀態(tài)結果,在路網結果特征分析中發(fā)現高峰內瞬時段占有率介于0.2與0.3之間或平均行程車速約等于10km/h時,路網占有率、車速、車速標準差及延誤多個指標抵達臨界值且可在高峰結束后恢復至初始態(tài),獲取路網運行臨界條件;在該條件約束下,基于雙層規(guī)劃法構建了PA反推模型,計算出PA極大值結果—路網容量;采用高峰小時交通出行生成模型計算出與容量對應的容積率。研究表明,新的PA遞增方法解決了遞增固定值后導致相鄰兩個路網狀態(tài)間差異大、不連貫的問題;動態(tài)仿真中占有率和車速標準差等指標可用于分析PA遞增過程中路網狀態(tài)間的連續(xù)變化及高峰內的動態(tài)變化,說明動態(tài)仿真可表征路網負荷的動態(tài)變化;以路網運行臨界狀態(tài)為約束條件的PA反推模型計算出的極大值結果與HCM2000標準的評價結果一致,說明模型具備一定的科學性。本文提出的研究方法提高了路網容量的求解精度,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.
【學位授予單位】：長安大學
【學位級別】：碩士
【學位授予年份】：2016
【分類號】：U491

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本文編號：2054620