Dynamic Local Vehicular Flow Optimization Using Real-Time Traffic Conditions at Multiple Road Intersections

Dynamic management of vehicular traffic congestion to maximize throughput in urban areas has been drawing increased attention in recent years. For that purpose, a number of adaptive control algorithms have been proposed for individual traffic lights based on the in-flow rate. However, little attenti...
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Autor*in:	Sookyoung Lee [verfasserIn] Mohamed Younis [verfasserIn] Aiswarya Murali [verfasserIn] Meejeong Lee [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	Adaptive traffic light control k-commodity flow problem traffic flow maximization dynamic traffic management

Übergeordnetes Werk:	In: IEEE Access - IEEE, 2014, 7(2019), Seite 28137-28157
Übergeordnetes Werk:	volume:7 ; year:2019 ; pages:28137-28157

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1109/ACCESS.2019.2900360

Katalog-ID:	DOAJ057663785

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650		4	\|a Adaptive traffic light control
650		4	\|a k-commodity flow problem
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allfieldsGer	10.1109/ACCESS.2019.2900360 doi (DE-627)DOAJ057663785 (DE-599)DOAJ2ee98abd96564b578814ba23d844210f DE-627 ger DE-627 rakwb eng TK1-9971 Sookyoung Lee verfasserin aut Dynamic Local Vehicular Flow Optimization Using Real-Time Traffic Conditions at Multiple Road Intersections 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Dynamic management of vehicular traffic congestion to maximize throughput in urban areas has been drawing increased attention in recent years. For that purpose, a number of adaptive control algorithms have been proposed for individual traffic lights based on the in-flow rate. However, little attention has been given to the traffic throughput maximization problem considering real-time road conditions from multiple intersections. In this paper, we formulate such a problem as maximum integer multi-commodity flow by considering incoming vehicles that have different outgoing directions. Then, we propose a novel adaptive traffic light signal control algorithm which opts to maximize traffic flow through and reduce the waiting time of vehicles at an intersection. The proposed algorithm adjusts traffic light signal phases and durations depending on real-time road condition of local and neighboring intersections. Via SUMO simulation, we demonstrate the effectiveness of the proposed algorithm in terms of traffic throughput and average travel time. Adaptive traffic light control k-commodity flow problem traffic flow maximization dynamic traffic management Electrical engineering. Electronics. Nuclear engineering Mohamed Younis verfasserin aut Aiswarya Murali verfasserin aut Meejeong Lee verfasserin aut In IEEE Access IEEE, 2014 7(2019), Seite 28137-28157 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:7 year:2019 pages:28137-28157 https://doi.org/10.1109/ACCESS.2019.2900360 kostenfrei https://doaj.org/article/2ee98abd96564b578814ba23d844210f kostenfrei https://ieeexplore.ieee.org/document/8648386/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2019 28137-28157
allfieldsSound	10.1109/ACCESS.2019.2900360 doi (DE-627)DOAJ057663785 (DE-599)DOAJ2ee98abd96564b578814ba23d844210f DE-627 ger DE-627 rakwb eng TK1-9971 Sookyoung Lee verfasserin aut Dynamic Local Vehicular Flow Optimization Using Real-Time Traffic Conditions at Multiple Road Intersections 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Dynamic management of vehicular traffic congestion to maximize throughput in urban areas has been drawing increased attention in recent years. For that purpose, a number of adaptive control algorithms have been proposed for individual traffic lights based on the in-flow rate. However, little attention has been given to the traffic throughput maximization problem considering real-time road conditions from multiple intersections. In this paper, we formulate such a problem as maximum integer multi-commodity flow by considering incoming vehicles that have different outgoing directions. Then, we propose a novel adaptive traffic light signal control algorithm which opts to maximize traffic flow through and reduce the waiting time of vehicles at an intersection. The proposed algorithm adjusts traffic light signal phases and durations depending on real-time road condition of local and neighboring intersections. Via SUMO simulation, we demonstrate the effectiveness of the proposed algorithm in terms of traffic throughput and average travel time. Adaptive traffic light control k-commodity flow problem traffic flow maximization dynamic traffic management Electrical engineering. Electronics. Nuclear engineering Mohamed Younis verfasserin aut Aiswarya Murali verfasserin aut Meejeong Lee verfasserin aut In IEEE Access IEEE, 2014 7(2019), Seite 28137-28157 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:7 year:2019 pages:28137-28157 https://doi.org/10.1109/ACCESS.2019.2900360 kostenfrei https://doaj.org/article/2ee98abd96564b578814ba23d844210f kostenfrei https://ieeexplore.ieee.org/document/8648386/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2019 28137-28157
language	English
source	In IEEE Access 7(2019), Seite 28137-28157 volume:7 year:2019 pages:28137-28157
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institution	findex.gbv.de
topic_facet	Adaptive traffic light control k-commodity flow problem traffic flow maximization dynamic traffic management Electrical engineering. Electronics. Nuclear engineering
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container_title	IEEE Access
authorswithroles_txt_mv	Sookyoung Lee @@aut@@ Mohamed Younis @@aut@@ Aiswarya Murali @@aut@@ Meejeong Lee @@aut@@
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author	Sookyoung Lee
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topic_title	TK1-9971 Dynamic Local Vehicular Flow Optimization Using Real-Time Traffic Conditions at Multiple Road Intersections Adaptive traffic light control k-commodity flow problem traffic flow maximization dynamic traffic management
topic	misc TK1-9971 misc Adaptive traffic light control misc k-commodity flow problem misc traffic flow maximization misc dynamic traffic management misc Electrical engineering. Electronics. Nuclear engineering
topic_unstemmed	misc TK1-9971 misc Adaptive traffic light control misc k-commodity flow problem misc traffic flow maximization misc dynamic traffic management misc Electrical engineering. Electronics. Nuclear engineering
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title	Dynamic Local Vehicular Flow Optimization Using Real-Time Traffic Conditions at Multiple Road Intersections
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title_sort	dynamic local vehicular flow optimization using real-time traffic conditions at multiple road intersections
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title_auth	Dynamic Local Vehicular Flow Optimization Using Real-Time Traffic Conditions at Multiple Road Intersections
abstract	Dynamic management of vehicular traffic congestion to maximize throughput in urban areas has been drawing increased attention in recent years. For that purpose, a number of adaptive control algorithms have been proposed for individual traffic lights based on the in-flow rate. However, little attention has been given to the traffic throughput maximization problem considering real-time road conditions from multiple intersections. In this paper, we formulate such a problem as maximum integer multi-commodity flow by considering incoming vehicles that have different outgoing directions. Then, we propose a novel adaptive traffic light signal control algorithm which opts to maximize traffic flow through and reduce the waiting time of vehicles at an intersection. The proposed algorithm adjusts traffic light signal phases and durations depending on real-time road condition of local and neighboring intersections. Via SUMO simulation, we demonstrate the effectiveness of the proposed algorithm in terms of traffic throughput and average travel time.
abstractGer	Dynamic management of vehicular traffic congestion to maximize throughput in urban areas has been drawing increased attention in recent years. For that purpose, a number of adaptive control algorithms have been proposed for individual traffic lights based on the in-flow rate. However, little attention has been given to the traffic throughput maximization problem considering real-time road conditions from multiple intersections. In this paper, we formulate such a problem as maximum integer multi-commodity flow by considering incoming vehicles that have different outgoing directions. Then, we propose a novel adaptive traffic light signal control algorithm which opts to maximize traffic flow through and reduce the waiting time of vehicles at an intersection. The proposed algorithm adjusts traffic light signal phases and durations depending on real-time road condition of local and neighboring intersections. Via SUMO simulation, we demonstrate the effectiveness of the proposed algorithm in terms of traffic throughput and average travel time.
abstract_unstemmed	Dynamic management of vehicular traffic congestion to maximize throughput in urban areas has been drawing increased attention in recent years. For that purpose, a number of adaptive control algorithms have been proposed for individual traffic lights based on the in-flow rate. However, little attention has been given to the traffic throughput maximization problem considering real-time road conditions from multiple intersections. In this paper, we formulate such a problem as maximum integer multi-commodity flow by considering incoming vehicles that have different outgoing directions. Then, we propose a novel adaptive traffic light signal control algorithm which opts to maximize traffic flow through and reduce the waiting time of vehicles at an intersection. The proposed algorithm adjusts traffic light signal phases and durations depending on real-time road condition of local and neighboring intersections. Via SUMO simulation, we demonstrate the effectiveness of the proposed algorithm in terms of traffic throughput and average travel time.
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title_short	Dynamic Local Vehicular Flow Optimization Using Real-Time Traffic Conditions at Multiple Road Intersections
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Dynamic Local Vehicular Flow Optimization Using Real-Time Traffic Conditions at Multiple Road Intersections

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