Traffic Congestion Assessment of Metropolitan Areas Through Hybrid Model Ranking

Alexander S. Lee, Wei-Hua Lin
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引用次数: 1

Abstract

Many methodologies have been developed to rank entities. The goal of developing ranking methodologies is to provide a means for decision-making. The current issue with ranking is that most results in terms of ranks are based on only one method. To resolve this issue, this paper proposes a hybrid model approach in the area of transportation and traffic safety. The hybrid model consists of the Normalized Score Summation Method, Principal Component Analysis, and the similarity measure based on the Proportion Discordance Ratio. The goal of this paper is to ensure the consistency of results from the three methodologies mentioned above. Its numeric analysis shows that results based on the hybrid model are more realistic and robust than the ones solely based on only one method.
基于混合模型排序的城市交通拥堵评价
已经开发了许多方法来对实体进行排序。开发排名方法的目的是为决策提供一种手段。目前排名的问题是,大多数排名结果都只基于一种方法。为了解决这一问题,本文提出了交通与交通安全领域的混合模型方法。混合模型由归一化分数求和法、主成分分析法和基于比例不协调比的相似性度量组成。本文的目标是确保上述三种方法的结果的一致性。数值分析表明,基于混合模型的结果比单一方法的结果更真实、更稳健。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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