長短時距車流巨觀特性及容量分析

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题名:	長短時距車流巨觀特性及容量分析
作者:	洪嫦禧;Hung,Chang-Hsi
贡献者:	土木工程學系
关键词:	車流特性;高速公路幾何特性;時距;容量分析;traffic flow characteristics;freeway geometrical characteristics;time interval;capacity analysis
日期:	2016-07-18
上传时间:	2016-10-13 12:07:00 (UTC+8)
出版者:	國立中央大學
摘要:	由於以往高速公路偵測器資料取得不易，在分析車流時，通常使用5分鐘的流量去推估流率、容量，再依此進行號誌控制以解決道路壅塞問題或是預測，但使用5分鐘推算小時流率，容易高估實際流率。高速公路局資料開放後，資料取得較容易，也使資料可以量化，可以使用實際1小時去推算其容量，可以得到較符合實際高速公路車流之狀況。本研究以國道1號北區路段基隆端－新竹交流道之主線路段為研究對象，以第2車道為主，並分析北區路段之幾何特性，再利用車流巨觀模式做不同時距之容量分析，本研究目的為探討高速公路不同坡度及曲率半徑之容量關係，以及不同時距間之容量關係。本研究分析結果顯示，在不同時距容量不一樣，且有一定關係，隨著時距增加，容量相對減少。在高速公路第2車道上，直線路段不同坡度之容量分析，其結果顯示，在上坡路段之容量值較無坡度路段及下坡路段低，下坡路段之容量值也比上坡路段及無坡度路段高。而對無坡度路段之不同曲率半徑做容量分析，其結果顯示，在直線路段其容量值較曲率半徑為1000 m < R < 3000 m時高。 ;It was hard to gain detector data of freeway in the past, in traffic flow analysis, 5-minute flow and capacity were usually used, to control number to solve blocking of traffic, however, it was easy to evaluate the actual flow to be high through estimate on 1-hour flow via 5-minute flow. It is easy to gain data after Freeway Bureau’s data is open. What’s more, the data can be quantified. Through estimate on flow through 1-hour flow, the traffic flow more conforming to the actual traffic flow can be gained. The research is based on the Keelung-Hsinchu Section of National Freeway No.1 in southern section and focuses on Lane 2, to analyze geometric characteristics of the southern section, and utilize Macroscopic traffic flow mode to make analysis of different time intervals. The research aims to discuss capacity relationship between gradient and radius of curvature of freeway, as well as capacity relationship between different time intervals. The analysis results of the research show that capacities are different in different time intervals and have certain relationship. Capacity reduces as increase of distance. In term of capacity analysis of different gradients on the straight line section in Lane 2 of the freeway, the results show that the capacity in the climbing section is lower than that of no-gradient section and downgrade section, and capacity of the downgrade section is higher than that of no-gradient section. In term of capacity analysis of radius of curvature in sections of different gradients, the results show that the capacity in straight line section is higher than that in the section with radius of curvature of 1000 m < R < 3000 m.
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