本文選題：關鍵通道 + 山地城市�。� 參考：《重慶交通大學》2015年碩士論文

【摘要】：山地城市受地形地貌條件的限制,形成了與平原城市風格迥異的路網(wǎng)結構特征和交通出行特征。在山地城市中,由于山體、水體的自然分割和用地條件的制約,連接兩個區(qū)域的狹窄通道時常成為路網(wǎng)中的交通瓶頸,對區(qū)域間的交通出行具有限制約束作用,成為區(qū)域間交通聯(lián)系的關鍵通道。關鍵通道的約束對山地城市的交通出行分布具有顯著影響,而現(xiàn)有交通模型對此尚未充分體現(xiàn),模型尚需完善。基于此,本文就關鍵通道約束的出行分布模型的優(yōu)化開展了相關工作。本文從分析關鍵通道對山地城市交通的影響入手,結合交通出行分布的原理和方法,重點就關鍵通道約束對交通出行空間分布、時間分布的影響進行了深入分析,分別指出了現(xiàn)有模型的問題并提出了模型優(yōu)化的思路;對關鍵通道約束的高峰小時模型進行了深入研究,提出以關鍵通道路網(wǎng)高峰小時交通量為邊界條件確定高峰小時模型中高峰小時系數(shù)的方法,優(yōu)化了高峰小時系數(shù)的確定;采用分區(qū)域高峰小時系數(shù)的方法,對高峰小時出行分布模型進行了優(yōu)化。主要內容有以下幾個方面:①分析了關鍵通道對山地城市交通的影響�？偨Y闡述了山地城市的相關概念,詳細分析了山地城市的交通特征和路網(wǎng)結構特征,在此基礎上分析了關鍵通道約束對山地城市交通特征的影響。②對交通出行分布模型進行了深入分析。在闡述交通模型和四階段法的基礎上,對比分析了傳統(tǒng)交通出行分布模型的基本原理、優(yōu)缺點和適用性,進而從時間分布、空間分布兩方面詳細分析了交通出行分布特征。③重點研究了關鍵通道約束對山地城市交通出行分布模型的影響及優(yōu)化。首先闡述了交通需求的特性,詳細分析了關鍵通道約束對交通出行空間分布、時間分布的影響,分別指出了現(xiàn)有模型的問題,提出了模型優(yōu)化的思路。在深入分析高峰小時出行分布模型問題的基礎上,研究了關鍵通道約束對高峰小時出行分布的影響,提出以關鍵通道路網(wǎng)高峰小時交通量作為高峰小時系數(shù)確定的邊界條件,優(yōu)化了高峰小時系數(shù)的確定;采用分區(qū)域確定高峰小時系數(shù)的方法,對高峰小時出行分布模型進行了優(yōu)化。④最后以重慶市主城區(qū)為例開展了實例分析。結合重慶的地域特點和交通模型現(xiàn)狀,驗證了關鍵通道約束對交通出行空間分布和時間分布具有顯著影響,本文提出的高峰小時出行分布模型優(yōu)化方法具有科學性和實用性。
[Abstract]:The mountainous cities are restricted by topographic and geomorphological conditions and form different road network structure and traffic travel characteristics from plain cities. In mountainous cities, because of the natural segmentation of mountain body, water body and the restriction of land use condition, the narrow passage connecting the two regions often becomes the traffic bottleneck in the road network, which has the restriction function to the traffic travel between the regions. Become a key link between the transport links between the region. The constraint of the critical passage has a significant influence on the traffic travel distribution in mountainous cities, but the existing traffic model has not been fully reflected, and the model needs to be improved. Based on this, the optimization of trip distribution model with critical channel constraints is studied in this paper. Based on the analysis of the influence of key channels on the traffic in mountainous cities and the principle and method of traffic travel distribution, this paper focuses on the analysis of the influence of key channel constraints on the distribution of traffic travel space and time. The problems of the existing models are pointed out and the ideas of model optimization are put forward, and the peak-hour model with critical channel constraints is deeply studied. The method of determining the peak hour coefficient in the peak hour model with the peak hour traffic volume of the critical road network as the boundary condition is put forward, and the determination of the peak hour coefficient is optimized, and the method of peak hour coefficient in different regions is adopted. The peak hour travel distribution model is optimized. The main contents are as follows: 1 analyzes the influence of the key passage to the mountain city traffic. This paper summarizes and expounds the related concepts of mountainous cities, and analyzes in detail the traffic characteristics and road network structure characteristics of mountain cities. On this basis, the influence of key channel constraints on the traffic characteristics of mountainous cities is analyzed. 2. The traffic travel distribution model is deeply analyzed. On the basis of expounding the traffic model and the four-stage method, the basic principle, advantages and disadvantages and applicability of the traditional traffic travel distribution model are compared and analyzed, and then from the time distribution, In this paper, the characteristics of traffic travel distribution in two aspects are analyzed in detail. 3. The influence and optimization of the key channel constraints on the traffic travel distribution model in mountainous cities are studied in detail. Firstly, the characteristics of traffic demand are expounded, the influence of key channel constraints on traffic travel space distribution and time distribution is analyzed in detail, the problems of existing models are pointed out, and the train of thought of model optimization is put forward. On the basis of deeply analyzing the problem of peak hour travel distribution model, this paper studies the influence of critical channel constraints on peak hour travel distribution, and proposes that the peak hour traffic volume of the critical channel network is taken as the boundary condition to determine the peak hour coefficient. The peak-hour coefficient is optimized, and the peak-hour travel distribution model is optimized by using the method of determining peak-hour coefficient by region. Finally, taking the main urban area of Chongqing as an example, an example analysis is carried out. Combined with the regional characteristics of Chongqing and the current situation of traffic model, it is verified that the key channel constraints have a significant impact on the distribution of traffic travel space and time. The optimization method of peak hour travel distribution model proposed in this paper is scientific and practical.
【學位授予單位】：重慶交通大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：U491.12

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