运动观测器法测量城市道路交通流变量精度的统计评价

T. Al-Bahr, O. C. Puan, S. Hassan, S. Azhari, Abdulsase M Al-Sabaeei, Haydar A Mohammed
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引用次数: 1

摘要

从现场收集的交通数据的准确性是交通设施规划、设计、运营和评估的有效和可靠结果的基本要求。移动观察者法(MOM)是一种众所周知的技术,由于其成本低、易于现场应用而被广泛应用于城市道路交通数据的生成。然而,MOM采集数据的准确性对交通流需求的波动很敏感,尤其是在城市道路上。本研究旨在对城市道路上使用MOM采集的交通流进行统计评价。本研究选择了柔佛州一个具有代表性的城市道路段。所选路段有五(5)个主要的车道和交叉路口入口。在90分钟的时间内,在选定的城市路段同时使用人工(在实地观察员的帮助下)和MOM方法测量交通流量。对两种方法估计的交通流量进行了统计比较。提出的零假设是,从技术流量估计之间没有显著差异。采用z标准正态分布在90%置信水平上的统计分析证实了假设,这意味着两种方法得出的交通流量估计值之间不存在统计学上的显著差异。这一发现表明,MOM可以可靠地用于估计城市道路交通流量,并具有合理的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Statistical Evaluation of Moving Observer Method Accuracy for Measuring Traffic Flow Variables on Urban Roads
The accuracy of traffic data collected from the field is an essential requirement for effective and reliable outcomes for planning, design, operation and assessment of transportation facilities. Moving Observer Method (MOM) is one of the well-known techniques that is widely used for generation of traffic data on urban roads due to its cheapness and ease of field application. However, the accuracy of the data collected using MOM is sensitive to the fluctuation of traffic flow demand, especially, on urban road. This study aims to statistically evaluate the traffic flow collected using MOM on urban road. A representative urban road segment in Johor Bahru was chosen for this study. The chosen road section has five (5) major access points of driveways and intersections. Traffic flow was concurrently measured on the selected urban road segment using both manual (with the aid of field observers) and MOM approaches over a duration of 90 minutes. Traffic flow estimates from the two approaches were compared statistically. A null hypothesis put forth is that there is no significant difference between the traffic estimates from the techniques. A statistical analysis using Z-standard normal distribution at 90% confidence level affirmed the postulated hypothesis, which implies that there exists no statistically significant difference between the traffic flow estimates derived from the two methods. This finding suggests that MOM can reliably be applied to estimate traffic flow on urban roads with reasonable accuracy.
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