An analytical model for a tandem of two traffic-light intersections under semi-actuated and fixed control

With increasing congestion in urban areas, it is important to characterise existing traffic control policies in terms of their performance and their optimal settings. In this paper, we propose a queueing model for traffic-light networks under fixed and semi-actuated control. In our model, we explici...
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Autor*in:	A. Oblakova [verfasserIn] A. Al Hanbali [verfasserIn] R.J. Boucherie [verfasserIn] J.C.W. van Ommeren [verfasserIn] W.H.M. Zijm [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	Queueing model Fixed control Semi-actuated control

Übergeordnetes Werk:	In: Transportation Research Interdisciplinary Perspectives - Elsevier, 2020, 16(2022), Seite 100715-
Übergeordnetes Werk:	volume:16 ; year:2022 ; pages:100715-

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1016/j.trip.2022.100715

Katalog-ID:	DOAJ025206354

Internformat


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520			\|a With increasing congestion in urban areas, it is important to characterise existing traffic control policies in terms of their performance and their optimal settings. In this paper, we propose a queueing model for traffic-light networks under fixed and semi-actuated control. In our model, we explicitly consider slow-departing vehicles in the beginning of a green period and the offsets between intersections. Our approach proves to be both accurate and fast compared to traffic microsimulation, allowing us to optimise the traffic-light settings and offsets.By analysing our model for two intersections in tandem, we show the important differences between semi-actuated and fixed controls. We observe that semi-actuated control is better for the average delay in comparison to fixed control when the main road has the same or a higher load than the crossing roads. If the loads are similar, the results of both types of control are close, and it may be advisable to use fixed control to avoid additional costs. The optimal traffic-light settings are shown to heavily depend on the type of control. For example, the effect of offsets in case of semi-actuated control is minor when the loads are relatively low, while the performance of fixed control may significantly vary depending on the offset between the intersections for any load.
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allfields	10.1016/j.trip.2022.100715 doi (DE-627)DOAJ025206354 (DE-599)DOAJ84b2fe799b104ebe9c038d240fd22ea7 DE-627 ger DE-627 rakwb eng HE1-9990 A. Oblakova verfasserin aut An analytical model for a tandem of two traffic-light intersections under semi-actuated and fixed control 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier With increasing congestion in urban areas, it is important to characterise existing traffic control policies in terms of their performance and their optimal settings. In this paper, we propose a queueing model for traffic-light networks under fixed and semi-actuated control. In our model, we explicitly consider slow-departing vehicles in the beginning of a green period and the offsets between intersections. Our approach proves to be both accurate and fast compared to traffic microsimulation, allowing us to optimise the traffic-light settings and offsets.By analysing our model for two intersections in tandem, we show the important differences between semi-actuated and fixed controls. We observe that semi-actuated control is better for the average delay in comparison to fixed control when the main road has the same or a higher load than the crossing roads. If the loads are similar, the results of both types of control are close, and it may be advisable to use fixed control to avoid additional costs. The optimal traffic-light settings are shown to heavily depend on the type of control. For example, the effect of offsets in case of semi-actuated control is minor when the loads are relatively low, while the performance of fixed control may significantly vary depending on the offset between the intersections for any load. Queueing model Fixed control Semi-actuated control Transportation and communications A. Al Hanbali verfasserin aut R.J. Boucherie verfasserin aut J.C.W. van Ommeren verfasserin aut W.H.M. Zijm verfasserin aut In Transportation Research Interdisciplinary Perspectives Elsevier, 2020 16(2022), Seite 100715- (DE-627)1690634936 25901982 nnns volume:16 year:2022 pages:100715- https://doi.org/10.1016/j.trip.2022.100715 kostenfrei https://doaj.org/article/84b2fe799b104ebe9c038d240fd22ea7 kostenfrei http://www.sciencedirect.com/science/article/pii/S2590198222001750 kostenfrei https://doaj.org/toc/2590-1982 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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 AR 16 2022 100715-
spelling	10.1016/j.trip.2022.100715 doi (DE-627)DOAJ025206354 (DE-599)DOAJ84b2fe799b104ebe9c038d240fd22ea7 DE-627 ger DE-627 rakwb eng HE1-9990 A. Oblakova verfasserin aut An analytical model for a tandem of two traffic-light intersections under semi-actuated and fixed control 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier With increasing congestion in urban areas, it is important to characterise existing traffic control policies in terms of their performance and their optimal settings. In this paper, we propose a queueing model for traffic-light networks under fixed and semi-actuated control. In our model, we explicitly consider slow-departing vehicles in the beginning of a green period and the offsets between intersections. Our approach proves to be both accurate and fast compared to traffic microsimulation, allowing us to optimise the traffic-light settings and offsets.By analysing our model for two intersections in tandem, we show the important differences between semi-actuated and fixed controls. We observe that semi-actuated control is better for the average delay in comparison to fixed control when the main road has the same or a higher load than the crossing roads. If the loads are similar, the results of both types of control are close, and it may be advisable to use fixed control to avoid additional costs. The optimal traffic-light settings are shown to heavily depend on the type of control. For example, the effect of offsets in case of semi-actuated control is minor when the loads are relatively low, while the performance of fixed control may significantly vary depending on the offset between the intersections for any load. Queueing model Fixed control Semi-actuated control Transportation and communications A. Al Hanbali verfasserin aut R.J. Boucherie verfasserin aut J.C.W. van Ommeren verfasserin aut W.H.M. Zijm verfasserin aut In Transportation Research Interdisciplinary Perspectives Elsevier, 2020 16(2022), Seite 100715- (DE-627)1690634936 25901982 nnns volume:16 year:2022 pages:100715- https://doi.org/10.1016/j.trip.2022.100715 kostenfrei https://doaj.org/article/84b2fe799b104ebe9c038d240fd22ea7 kostenfrei http://www.sciencedirect.com/science/article/pii/S2590198222001750 kostenfrei https://doaj.org/toc/2590-1982 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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 AR 16 2022 100715-
allfields_unstemmed	10.1016/j.trip.2022.100715 doi (DE-627)DOAJ025206354 (DE-599)DOAJ84b2fe799b104ebe9c038d240fd22ea7 DE-627 ger DE-627 rakwb eng HE1-9990 A. Oblakova verfasserin aut An analytical model for a tandem of two traffic-light intersections under semi-actuated and fixed control 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier With increasing congestion in urban areas, it is important to characterise existing traffic control policies in terms of their performance and their optimal settings. In this paper, we propose a queueing model for traffic-light networks under fixed and semi-actuated control. In our model, we explicitly consider slow-departing vehicles in the beginning of a green period and the offsets between intersections. Our approach proves to be both accurate and fast compared to traffic microsimulation, allowing us to optimise the traffic-light settings and offsets.By analysing our model for two intersections in tandem, we show the important differences between semi-actuated and fixed controls. We observe that semi-actuated control is better for the average delay in comparison to fixed control when the main road has the same or a higher load than the crossing roads. If the loads are similar, the results of both types of control are close, and it may be advisable to use fixed control to avoid additional costs. The optimal traffic-light settings are shown to heavily depend on the type of control. For example, the effect of offsets in case of semi-actuated control is minor when the loads are relatively low, while the performance of fixed control may significantly vary depending on the offset between the intersections for any load. Queueing model Fixed control Semi-actuated control Transportation and communications A. Al Hanbali verfasserin aut R.J. Boucherie verfasserin aut J.C.W. van Ommeren verfasserin aut W.H.M. Zijm verfasserin aut In Transportation Research Interdisciplinary Perspectives Elsevier, 2020 16(2022), Seite 100715- (DE-627)1690634936 25901982 nnns volume:16 year:2022 pages:100715- https://doi.org/10.1016/j.trip.2022.100715 kostenfrei https://doaj.org/article/84b2fe799b104ebe9c038d240fd22ea7 kostenfrei http://www.sciencedirect.com/science/article/pii/S2590198222001750 kostenfrei https://doaj.org/toc/2590-1982 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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 AR 16 2022 100715-
allfieldsGer	10.1016/j.trip.2022.100715 doi (DE-627)DOAJ025206354 (DE-599)DOAJ84b2fe799b104ebe9c038d240fd22ea7 DE-627 ger DE-627 rakwb eng HE1-9990 A. Oblakova verfasserin aut An analytical model for a tandem of two traffic-light intersections under semi-actuated and fixed control 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier With increasing congestion in urban areas, it is important to characterise existing traffic control policies in terms of their performance and their optimal settings. In this paper, we propose a queueing model for traffic-light networks under fixed and semi-actuated control. In our model, we explicitly consider slow-departing vehicles in the beginning of a green period and the offsets between intersections. Our approach proves to be both accurate and fast compared to traffic microsimulation, allowing us to optimise the traffic-light settings and offsets.By analysing our model for two intersections in tandem, we show the important differences between semi-actuated and fixed controls. We observe that semi-actuated control is better for the average delay in comparison to fixed control when the main road has the same or a higher load than the crossing roads. If the loads are similar, the results of both types of control are close, and it may be advisable to use fixed control to avoid additional costs. The optimal traffic-light settings are shown to heavily depend on the type of control. For example, the effect of offsets in case of semi-actuated control is minor when the loads are relatively low, while the performance of fixed control may significantly vary depending on the offset between the intersections for any load. Queueing model Fixed control Semi-actuated control Transportation and communications A. Al Hanbali verfasserin aut R.J. Boucherie verfasserin aut J.C.W. van Ommeren verfasserin aut W.H.M. Zijm verfasserin aut In Transportation Research Interdisciplinary Perspectives Elsevier, 2020 16(2022), Seite 100715- (DE-627)1690634936 25901982 nnns volume:16 year:2022 pages:100715- https://doi.org/10.1016/j.trip.2022.100715 kostenfrei https://doaj.org/article/84b2fe799b104ebe9c038d240fd22ea7 kostenfrei http://www.sciencedirect.com/science/article/pii/S2590198222001750 kostenfrei https://doaj.org/toc/2590-1982 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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 AR 16 2022 100715-
allfieldsSound	10.1016/j.trip.2022.100715 doi (DE-627)DOAJ025206354 (DE-599)DOAJ84b2fe799b104ebe9c038d240fd22ea7 DE-627 ger DE-627 rakwb eng HE1-9990 A. Oblakova verfasserin aut An analytical model for a tandem of two traffic-light intersections under semi-actuated and fixed control 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier With increasing congestion in urban areas, it is important to characterise existing traffic control policies in terms of their performance and their optimal settings. In this paper, we propose a queueing model for traffic-light networks under fixed and semi-actuated control. In our model, we explicitly consider slow-departing vehicles in the beginning of a green period and the offsets between intersections. Our approach proves to be both accurate and fast compared to traffic microsimulation, allowing us to optimise the traffic-light settings and offsets.By analysing our model for two intersections in tandem, we show the important differences between semi-actuated and fixed controls. We observe that semi-actuated control is better for the average delay in comparison to fixed control when the main road has the same or a higher load than the crossing roads. If the loads are similar, the results of both types of control are close, and it may be advisable to use fixed control to avoid additional costs. The optimal traffic-light settings are shown to heavily depend on the type of control. For example, the effect of offsets in case of semi-actuated control is minor when the loads are relatively low, while the performance of fixed control may significantly vary depending on the offset between the intersections for any load. Queueing model Fixed control Semi-actuated control Transportation and communications A. Al Hanbali verfasserin aut R.J. Boucherie verfasserin aut J.C.W. van Ommeren verfasserin aut W.H.M. Zijm verfasserin aut In Transportation Research Interdisciplinary Perspectives Elsevier, 2020 16(2022), Seite 100715- (DE-627)1690634936 25901982 nnns volume:16 year:2022 pages:100715- https://doi.org/10.1016/j.trip.2022.100715 kostenfrei https://doaj.org/article/84b2fe799b104ebe9c038d240fd22ea7 kostenfrei http://www.sciencedirect.com/science/article/pii/S2590198222001750 kostenfrei https://doaj.org/toc/2590-1982 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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 AR 16 2022 100715-
language	English
source	In Transportation Research Interdisciplinary Perspectives 16(2022), Seite 100715- volume:16 year:2022 pages:100715-
sourceStr	In Transportation Research Interdisciplinary Perspectives 16(2022), Seite 100715- volume:16 year:2022 pages:100715-
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Queueing model Fixed control Semi-actuated control Transportation and communications
isfreeaccess_bool	true
container_title	Transportation Research Interdisciplinary Perspectives
authorswithroles_txt_mv	A. Oblakova @@aut@@ A. Al Hanbali @@aut@@ R.J. Boucherie @@aut@@ J.C.W. van Ommeren @@aut@@ W.H.M. Zijm @@aut@@
publishDateDaySort_date	2022-01-01T00:00:00Z
hierarchy_top_id	1690634936
id	DOAJ025206354
language_de	englisch
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callnumber-first	H - Social Science
author	A. Oblakova
spellingShingle	A. Oblakova misc HE1-9990 misc Queueing model misc Fixed control misc Semi-actuated control misc Transportation and communications An analytical model for a tandem of two traffic-light intersections under semi-actuated and fixed control
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topic_title	HE1-9990 An analytical model for a tandem of two traffic-light intersections under semi-actuated and fixed control Queueing model Fixed control Semi-actuated control
topic	misc HE1-9990 misc Queueing model misc Fixed control misc Semi-actuated control misc Transportation and communications
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title	An analytical model for a tandem of two traffic-light intersections under semi-actuated and fixed control
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title_full	An analytical model for a tandem of two traffic-light intersections under semi-actuated and fixed control
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title_sort	analytical model for a tandem of two traffic-light intersections under semi-actuated and fixed control
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title_auth	An analytical model for a tandem of two traffic-light intersections under semi-actuated and fixed control
abstract	With increasing congestion in urban areas, it is important to characterise existing traffic control policies in terms of their performance and their optimal settings. In this paper, we propose a queueing model for traffic-light networks under fixed and semi-actuated control. In our model, we explicitly consider slow-departing vehicles in the beginning of a green period and the offsets between intersections. Our approach proves to be both accurate and fast compared to traffic microsimulation, allowing us to optimise the traffic-light settings and offsets.By analysing our model for two intersections in tandem, we show the important differences between semi-actuated and fixed controls. We observe that semi-actuated control is better for the average delay in comparison to fixed control when the main road has the same or a higher load than the crossing roads. If the loads are similar, the results of both types of control are close, and it may be advisable to use fixed control to avoid additional costs. The optimal traffic-light settings are shown to heavily depend on the type of control. For example, the effect of offsets in case of semi-actuated control is minor when the loads are relatively low, while the performance of fixed control may significantly vary depending on the offset between the intersections for any load.
abstractGer	With increasing congestion in urban areas, it is important to characterise existing traffic control policies in terms of their performance and their optimal settings. In this paper, we propose a queueing model for traffic-light networks under fixed and semi-actuated control. In our model, we explicitly consider slow-departing vehicles in the beginning of a green period and the offsets between intersections. Our approach proves to be both accurate and fast compared to traffic microsimulation, allowing us to optimise the traffic-light settings and offsets.By analysing our model for two intersections in tandem, we show the important differences between semi-actuated and fixed controls. We observe that semi-actuated control is better for the average delay in comparison to fixed control when the main road has the same or a higher load than the crossing roads. If the loads are similar, the results of both types of control are close, and it may be advisable to use fixed control to avoid additional costs. The optimal traffic-light settings are shown to heavily depend on the type of control. For example, the effect of offsets in case of semi-actuated control is minor when the loads are relatively low, while the performance of fixed control may significantly vary depending on the offset between the intersections for any load.
abstract_unstemmed	With increasing congestion in urban areas, it is important to characterise existing traffic control policies in terms of their performance and their optimal settings. In this paper, we propose a queueing model for traffic-light networks under fixed and semi-actuated control. In our model, we explicitly consider slow-departing vehicles in the beginning of a green period and the offsets between intersections. Our approach proves to be both accurate and fast compared to traffic microsimulation, allowing us to optimise the traffic-light settings and offsets.By analysing our model for two intersections in tandem, we show the important differences between semi-actuated and fixed controls. We observe that semi-actuated control is better for the average delay in comparison to fixed control when the main road has the same or a higher load than the crossing roads. If the loads are similar, the results of both types of control are close, and it may be advisable to use fixed control to avoid additional costs. The optimal traffic-light settings are shown to heavily depend on the type of control. For example, the effect of offsets in case of semi-actuated control is minor when the loads are relatively low, while the performance of fixed control may significantly vary depending on the offset between the intersections for any load.
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title_short	An analytical model for a tandem of two traffic-light intersections under semi-actuated and fixed control
url	https://doi.org/10.1016/j.trip.2022.100715 https://doaj.org/article/84b2fe799b104ebe9c038d240fd22ea7 http://www.sciencedirect.com/science/article/pii/S2590198222001750 https://doaj.org/toc/2590-1982
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An analytical model for a tandem of two traffic-light intersections under semi-actuated and fixed control

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