基于可靠性分析的最先进空间车头距评估模型

S. Ghasemi, M. Jalayer, Mahdi Pour-Rouholamin, A. Nowak, Huaguo Zhou
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引用次数: 19

摘要

摘要规定车头间距是交通工程中的关键问题。虽然考虑较大的车头时距可以使交通更安全,但考虑较小的车头时距可以服务于更多的交通量,这从经济角度来看是很重要的。然而,实施较小的车头时距可能会导致尾随现象(两辆车之间的距离很短),这被认为是麻烦和危险的。对车头距的评估为了解安全与交通方面的运营效益提供了一个合理的方法。使用概率分析来解释不确定性可能是最适用的方法之一,因为车头时距数据不是确定性的,被视为随机变量。更具体地说,通过强调可靠性分析,确定合适的间距是可行的。本文的目的是提出一种最先进的方法来评估车头距的统计参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
State-of-the-Art Model to Evaluate Space Headway Based on Reliability Analysis
AbstractStipulating a space headway is a pivotal concern in traffic engineering. Although consideration of a larger headway leads to safer traffic movement, consideration for a smaller headway can serve more traffic volume, which is significant from an economic standpoint. Implementation of a smaller headway, however, could lead to the tailgating phenomenon (short distances between two vehicles), which is perceived as troublesome and dangerous. Evaluating the space headway provides a reasonable approach to understanding the operational benefit for safety and traffic concerns. Using probabilistic analysis to account for uncertainty can be one of the best applicable methods because the headway data are not deterministic and are treated as random variables. More specifically, by emphasizing the reliability analysis, it is feasible to determine the appropriate space headway. The objective of this paper is to present a state-of-the-art approach for the evaluation of the statistical parameters of the headway by...
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