Understanding changes in traffic conditions during the Tokyo 2020 Olympic and Paralympic Games

IF 3.3 Q3 TRANSPORTATION
Takao Dantsuji , Hiromichi Yamaguchi
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引用次数: 0

Abstract

We investigate changes in traffic conditions during the Tokyo 2020 Olympic and Paralympic Games. Given the network topological advantages of the Tokyo Metropolitan area, where most tolled expressways and highways are parallel, the expressways were primarily used for transporting the Olympic families by implementing TDM strategies during the Games. According to Tokyo Metropolitan Government (2021), the daily total trips on the Tokyo Metropolitan expressways decreased by approximately 12 % compared to one week before the Games. However, the temporal changes on traffic conditions have not been fully investigated. To address this gap, we evaluate temporal patterns using the Macroscopic Fundamental Diagram (MFD), estimated from multiple data sources. Additionally, we develop an anomaly detection approach to identify and analyze changes in highway traffic congestion resulting from the TDM strategies implemented during the Games. We find that the expressway traffic conditions were moderately managed at the aggregate level. Moreover, highway traffic congestion patterns did not change significantly during the Games, but several unusual patterns are identified by the anomaly detection approach. We discuss potential reasons for these observations, including the possibility that expressway congestion induced by the TDM strategies contributed to speed reductions on the highways.
了解2020年东京奥运会和残奥会期间交通状况的变化
我们调查了2020年东京奥运会和残奥会期间交通状况的变化。考虑到东京大都市区的网络拓扑优势,其中大多数收费高速公路和高速公路是平行的,高速公路主要用于在奥运会期间通过实施TDM战略运送奥运家庭。根据东京都政府(2021年)的数据,与奥运会前一周相比,东京都高速公路的每日总客流量减少了约12%。然而,交通状况的时间变化尚未得到充分的研究。为了解决这一差距,我们使用从多个数据源估计的宏观基本图(MFD)来评估时间模式。此外,我们开发了一种异常检测方法来识别和分析由于奥运会期间实施的TDM策略而导致的高速公路交通拥堵的变化。研究发现,高速公路的交通状况在总体上得到了适度的管理。此外,公路交通拥堵模式在奥运会期间没有明显变化,但一些异常模式被异常检测方法识别出来。我们讨论了这些观察结果的潜在原因,包括由TDM策略引起的高速公路拥堵导致高速公路速度降低的可能性。
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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来源期刊
CiteScore
5.00
自引率
12.00%
发文量
222
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