Relieving the Congestion around a School via Automatic Vehicle Identification Technology-Based Traffic Measures

Recently, many parents drive their children to and from schools, leading to serious road congestion around the school gate. The school-related congestion is a special type of congestion caused by periodic impulsive aggregation of specific travellers for certain events. In this study, the individual...

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Autores principales: Bo Li, Zhi Yu, Weiwei Sun, Kaiying Chen, Teng Zhang
Formato: article
Lenguaje:EN
Publicado: Hindawi-Wiley 2021
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Acceso en línea:https://doaj.org/article/332290d110cf4763ac0aec2338e52223
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spelling oai:doaj.org-article:332290d110cf4763ac0aec2338e522232021-11-22T01:10:58ZRelieving the Congestion around a School via Automatic Vehicle Identification Technology-Based Traffic Measures2042-319510.1155/2021/5525580https://doaj.org/article/332290d110cf4763ac0aec2338e522232021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/5525580https://doaj.org/toc/2042-3195Recently, many parents drive their children to and from schools, leading to serious road congestion around the school gate. The school-related congestion is a special type of congestion caused by periodic impulsive aggregation of specific travellers for certain events. In this study, the individual long short-term traffic behaviours were reconstructed based on automatic vehicle identification (AVI) technologies. The cause and countermeasure of congestion around the service centers were identified through the individual behavioural properties. The vehicles that were primarily responsible for periodic impulsive aggregation congestion (PIAC) around the school gate were precisely targeted via a proposed vehicle grading clustering framework. The road management objectives were updated in the AVI data environment and it was found that only 3%–5% of the total number of vehicles passing by the school gate require specific management such as traffic enforcement activities. A series of traffic measures were formulated based on the results of vehicle grading clustering and achieved positive effects in a periodic impulsive aggregation area. It is an effective way to solve the PIAC by formulating management with different activity levels and resolutions for specific travellers. The methodologies and experience presented in this study may provide a useful tool for relieving such special type of congestion around other service centers faced with similar scenarios.Bo LiZhi YuWeiwei SunKaiying ChenTeng ZhangHindawi-WileyarticleTransportation engineeringTA1001-1280Transportation and communicationsHE1-9990ENJournal of Advanced Transportation, Vol 2021 (2021)
institution DOAJ
collection DOAJ
language EN
topic Transportation engineering
TA1001-1280
Transportation and communications
HE1-9990
spellingShingle Transportation engineering
TA1001-1280
Transportation and communications
HE1-9990
Bo Li
Zhi Yu
Weiwei Sun
Kaiying Chen
Teng Zhang
Relieving the Congestion around a School via Automatic Vehicle Identification Technology-Based Traffic Measures
description Recently, many parents drive their children to and from schools, leading to serious road congestion around the school gate. The school-related congestion is a special type of congestion caused by periodic impulsive aggregation of specific travellers for certain events. In this study, the individual long short-term traffic behaviours were reconstructed based on automatic vehicle identification (AVI) technologies. The cause and countermeasure of congestion around the service centers were identified through the individual behavioural properties. The vehicles that were primarily responsible for periodic impulsive aggregation congestion (PIAC) around the school gate were precisely targeted via a proposed vehicle grading clustering framework. The road management objectives were updated in the AVI data environment and it was found that only 3%–5% of the total number of vehicles passing by the school gate require specific management such as traffic enforcement activities. A series of traffic measures were formulated based on the results of vehicle grading clustering and achieved positive effects in a periodic impulsive aggregation area. It is an effective way to solve the PIAC by formulating management with different activity levels and resolutions for specific travellers. The methodologies and experience presented in this study may provide a useful tool for relieving such special type of congestion around other service centers faced with similar scenarios.
format article
author Bo Li
Zhi Yu
Weiwei Sun
Kaiying Chen
Teng Zhang
author_facet Bo Li
Zhi Yu
Weiwei Sun
Kaiying Chen
Teng Zhang
author_sort Bo Li
title Relieving the Congestion around a School via Automatic Vehicle Identification Technology-Based Traffic Measures
title_short Relieving the Congestion around a School via Automatic Vehicle Identification Technology-Based Traffic Measures
title_full Relieving the Congestion around a School via Automatic Vehicle Identification Technology-Based Traffic Measures
title_fullStr Relieving the Congestion around a School via Automatic Vehicle Identification Technology-Based Traffic Measures
title_full_unstemmed Relieving the Congestion around a School via Automatic Vehicle Identification Technology-Based Traffic Measures
title_sort relieving the congestion around a school via automatic vehicle identification technology-based traffic measures
publisher Hindawi-Wiley
publishDate 2021
url https://doaj.org/article/332290d110cf4763ac0aec2338e52223
work_keys_str_mv AT boli relievingthecongestionaroundaschoolviaautomaticvehicleidentificationtechnologybasedtrafficmeasures
AT zhiyu relievingthecongestionaroundaschoolviaautomaticvehicleidentificationtechnologybasedtrafficmeasures
AT weiweisun relievingthecongestionaroundaschoolviaautomaticvehicleidentificationtechnologybasedtrafficmeasures
AT kaiyingchen relievingthecongestionaroundaschoolviaautomaticvehicleidentificationtechnologybasedtrafficmeasures
AT tengzhang relievingthecongestionaroundaschoolviaautomaticvehicleidentificationtechnologybasedtrafficmeasures
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