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缓解高速公路瓶颈处因通行能力下降导致的延误:车联网影响区。

Mitigating delay due to capacity drop near freeway bottlenecks: Zones of influence of connected vehicles.

机构信息

Department of Mechanical Engineering, University of Massachusetts, Lowell, MA, United States of America.

Department of Civil and Environmental Engineering, The Pennsylvania State University, State College, PA, United States of America.

出版信息

PLoS One. 2024 Jun 5;19(6):e0301188. doi: 10.1371/journal.pone.0301188. eCollection 2024.

DOI:10.1371/journal.pone.0301188
PMID:38837982
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11152315/
Abstract

We present a novel perspective on how connected vehicles can reduce total vehicular delay arising due to the capacity drop phenomenon observed at fixed freeway bottlenecks. We analytically determine spatial regions upstream of the bottleneck, called zones of influence, where a pair of connected vehicles can use an event-triggered control policy to positively influence a measurable traffic macrostate, e.g., the total vehicular delay at bottlenecks. These analytical expressions are also able to determine the boundaries (called null and event horizons) of these spatial extents, outside of which a connected vehicle cannot positively influence the traffic macrostate. These concepts can help ensure that information is disseminated to connected vehicles in only those spatial regions where it can be used to positively impact traffic macrostates. Some scenarios examined in this study indicate that communication between connected vehicles may be required over a span of several kilometers to positively impact traffic flow and mitigate delays arising due to the capacity drop phenomenon.

摘要

我们提出了一种新的观点,即联网车辆如何减少由于固定高速公路瓶颈处观察到的容量下降现象而导致的总车辆延误。我们通过分析确定了瓶颈上游的空间区域,称为影响区域,在这些区域中,一对联网车辆可以使用事件触发控制策略对可测量的交通宏观状态产生积极影响,例如瓶颈处的总车辆延误。这些分析表达式还能够确定这些空间范围的边界(称为零和事件视界),超出这些边界,联网车辆就无法对交通宏观状态产生积极影响。这些概念可以帮助确保仅在可以使用信息来积极影响交通宏观状态的空间区域内向联网车辆传播信息。本研究中的一些场景表明,可能需要在几公里的范围内进行联网车辆之间的通信,以积极影响交通流量并减轻由于容量下降现象而导致的延误。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7382/11152315/9c1182c57326/pone.0301188.g010.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7382/11152315/5c8fdcfd9485/pone.0301188.g005.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7382/11152315/203806d1594d/pone.0301188.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7382/11152315/6dcf67bc4131/pone.0301188.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7382/11152315/a2630213711f/pone.0301188.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7382/11152315/9c1182c57326/pone.0301188.g010.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7382/11152315/1e5a1a132df9/pone.0301188.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7382/11152315/1556149b3093/pone.0301188.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7382/11152315/5c8fdcfd9485/pone.0301188.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7382/11152315/8f6dd283a50c/pone.0301188.g006.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7382/11152315/6dcf67bc4131/pone.0301188.g008.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7382/11152315/9c1182c57326/pone.0301188.g010.jpg

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