PROYEKSI POLA PERGERAKAN PADA SIMPANG BERSINYAL (MAKASSAR - SELAWESI SELATAN)

Indriaty Wulansari Indri
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Abstract

MAT (Origin Destination Matrix) is a two-dimensional matrix that contains information about the magnitude of movement between locations (zones) within a specific area. If a MAT is charged to a transportation network system, it will produce a movement flow that describes the movement pattern in the area. This research is quantitative descriptive research. The purpose of this research is to project the future traffic movement pattern. Four methods have been developed to date that generally tries to overcome the shortcomings of the previous method, namely the Analog method (average, Detroit, Fratar, and Furness). These four methods guarantee that the magnitude of the pull generation in the future is the same as expected. Data collection techniques in research are in the form of direct data collection in the field using video cameras placed at several observation points. Hourly flow patterns calculate traffic volume. Based on the results of the analysis, it was found that there were differences in repetition in each analog method. The average method reached the 75th repetition, the Detroit method reached the 8th repetition, the Fratar method reached the 41st repetition, and the Furness method reached the third repetition.
指向信号交叉的移动模式预测(MAKASSAR - SELAWESI south)
MAT(原点-目的地矩阵)是一个二维矩阵,包含特定区域内位置(区域)之间移动幅度的信息。如果MAT被加载到运输网络系统中,它将产生描述该地区运动模式的运动流。本研究为定量描述性研究。本研究的目的是预测未来的交通运动模式。迄今为止,已经开发了四种方法,通常试图克服以前方法的缺点,即模拟方法(average, Detroit, Fratar和Furness)。这四种方法保证了未来产生的拉力与预期的大小相同。研究中的数据收集技术是利用放置在几个观察点的摄像机在实地直接收集数据。每小时流量模式计算交通量。根据分析结果发现,每种模拟方法在重复度上存在差异。平均法达到第75次重复,底特律法达到第8次重复,Fratar法达到第41次重复,Furness法达到第3次重复。
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