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ESTIMATION OF LINK PERFORMANCE FUNCTIONS FROM INCOMPLETE FLOW DATA

机译:从不完整的流量数据估计链接性能功能

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摘要

Despite the pivotal importance of link performance functions to models of transport systems, relatively little work has been done on practical aspects of estimating these functions from observed data. Furthermore it is difficult to find any examples in the literature of estimated urban link performance functions faithfully reproducing theoretical travel time-flow relationships. One reason for the paucity of research in this area is the difficulty and expense of obtaining the requisite data. The increase in automatic collection of traffic flow data goes part way to resolving this problem, but matching such flows to manually recorded travel times can present considerable statistical difficulties in the estimation procedure. This paper considers the estimation of link performance functions from a combination of automatically recorded traffic counts and travel collected by hand, using a non-standard statistical methodology. The study is motivated by a set of data of precisely this type, from the UK city of Leicester.
机译:尽管将链接性能功能对运输系统的模型具有至关重要的意义,但是在从观察到的数据估算这些功能的实践方面,所做的工作相对较少。此外,很难在文献中找到忠实地再现理论旅行时间-流量关系的估计城市联系性能函数的任何例子。该领域缺乏研究的一个原因是获得必要数据的难度和费用。交通流量数据自动收集的增加部分解决了这个问题,但是将此类流量与手动记录的行驶时间进行匹配可能会在估算过程中带来相当大的统计困难。本文考虑使用非标准统计方法,结合自动记录的流量计数和手工收集的行程估算链路性能。这项研究的动机是来自英国莱斯特市的一组此类数据。

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