Traffic Route Modelling and Assignment with Intelligent Transport System
The development of signal transmitting environment for multimodal traffic control will enhance the integration of emergency and specialized transport routing tools in usual traffic control paradigms - it is one of the opportunities offered by modern intelligent traffic control systems. The improveme...
Ausführliche Beschreibung
Autor*in: |
Kunicina Nadezhda [verfasserIn] Galkina Alina [verfasserIn] Zabasta Anatolijs [verfasserIn] Patlins Antons [verfasserIn] Kondratjevs Kaspars [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2014 |
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Schlagwörter: |
intelligent transportation systems |
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Übergeordnetes Werk: |
In: Electrical, Control and Communication Engineering - Sciendo, 2015, 7(2014), 1, Seite 34-40 |
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Übergeordnetes Werk: |
volume:7 ; year:2014 ; number:1 ; pages:34-40 |
Links: |
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DOI / URN: |
10.1515/ecce-2014-0021 |
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Katalog-ID: |
DOAJ041050797 |
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10.1515/ecce-2014-0021 doi (DE-627)DOAJ041050797 (DE-599)DOAJ90e61e793bb44b88b93c960d16e4933b DE-627 ger DE-627 rakwb eng TK1-9971 Kunicina Nadezhda verfasserin aut Traffic Route Modelling and Assignment with Intelligent Transport System 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The development of signal transmitting environment for multimodal traffic control will enhance the integration of emergency and specialized transport routing tools in usual traffic control paradigms - it is one of the opportunities offered by modern intelligent traffic control systems. The improvement of effective electric power use in public transport system is an advantage of Intelligent Transport System (ITS). The research is connected with the improvement of on-line traffic control and adaptation of special traffic lighting alternatives by ITS. The assignment of the nearest appropriate transport will be done by passenger request, but unlike information system, the transport planning is done on demand. The task can be solved with the help of modern technical methods and equipment, as well as by applying control paradigms of the distributed systems. The problem is solved with the help of calculations hyper-graph and scheduling theory. The goal of the research is to develop methods, which support scheduling of the emergency transport, using high performance computing. intelligent transportation systems communication networks communication system traffic control intelligent vehicles land transportation Electrical engineering. Electronics. Nuclear engineering Galkina Alina verfasserin aut Zabasta Anatolijs verfasserin aut Patlins Antons verfasserin aut Kondratjevs Kaspars verfasserin aut In Electrical, Control and Communication Engineering Sciendo, 2015 7(2014), 1, Seite 34-40 (DE-627)769499104 (DE-600)2736517-7 22559159 nnns volume:7 year:2014 number:1 pages:34-40 https://doi.org/10.1515/ecce-2014-0021 kostenfrei https://doaj.org/article/90e61e793bb44b88b93c960d16e4933b kostenfrei https://doi.org/10.1515/ecce-2014-0021 kostenfrei https://doaj.org/toc/2255-9159 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 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 2014 1 34-40 |
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10.1515/ecce-2014-0021 doi (DE-627)DOAJ041050797 (DE-599)DOAJ90e61e793bb44b88b93c960d16e4933b DE-627 ger DE-627 rakwb eng TK1-9971 Kunicina Nadezhda verfasserin aut Traffic Route Modelling and Assignment with Intelligent Transport System 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The development of signal transmitting environment for multimodal traffic control will enhance the integration of emergency and specialized transport routing tools in usual traffic control paradigms - it is one of the opportunities offered by modern intelligent traffic control systems. The improvement of effective electric power use in public transport system is an advantage of Intelligent Transport System (ITS). The research is connected with the improvement of on-line traffic control and adaptation of special traffic lighting alternatives by ITS. The assignment of the nearest appropriate transport will be done by passenger request, but unlike information system, the transport planning is done on demand. The task can be solved with the help of modern technical methods and equipment, as well as by applying control paradigms of the distributed systems. The problem is solved with the help of calculations hyper-graph and scheduling theory. The goal of the research is to develop methods, which support scheduling of the emergency transport, using high performance computing. intelligent transportation systems communication networks communication system traffic control intelligent vehicles land transportation Electrical engineering. Electronics. Nuclear engineering Galkina Alina verfasserin aut Zabasta Anatolijs verfasserin aut Patlins Antons verfasserin aut Kondratjevs Kaspars verfasserin aut In Electrical, Control and Communication Engineering Sciendo, 2015 7(2014), 1, Seite 34-40 (DE-627)769499104 (DE-600)2736517-7 22559159 nnns volume:7 year:2014 number:1 pages:34-40 https://doi.org/10.1515/ecce-2014-0021 kostenfrei https://doaj.org/article/90e61e793bb44b88b93c960d16e4933b kostenfrei https://doi.org/10.1515/ecce-2014-0021 kostenfrei https://doaj.org/toc/2255-9159 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 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 2014 1 34-40 |
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10.1515/ecce-2014-0021 doi (DE-627)DOAJ041050797 (DE-599)DOAJ90e61e793bb44b88b93c960d16e4933b DE-627 ger DE-627 rakwb eng TK1-9971 Kunicina Nadezhda verfasserin aut Traffic Route Modelling and Assignment with Intelligent Transport System 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The development of signal transmitting environment for multimodal traffic control will enhance the integration of emergency and specialized transport routing tools in usual traffic control paradigms - it is one of the opportunities offered by modern intelligent traffic control systems. The improvement of effective electric power use in public transport system is an advantage of Intelligent Transport System (ITS). The research is connected with the improvement of on-line traffic control and adaptation of special traffic lighting alternatives by ITS. The assignment of the nearest appropriate transport will be done by passenger request, but unlike information system, the transport planning is done on demand. The task can be solved with the help of modern technical methods and equipment, as well as by applying control paradigms of the distributed systems. The problem is solved with the help of calculations hyper-graph and scheduling theory. The goal of the research is to develop methods, which support scheduling of the emergency transport, using high performance computing. intelligent transportation systems communication networks communication system traffic control intelligent vehicles land transportation Electrical engineering. Electronics. Nuclear engineering Galkina Alina verfasserin aut Zabasta Anatolijs verfasserin aut Patlins Antons verfasserin aut Kondratjevs Kaspars verfasserin aut In Electrical, Control and Communication Engineering Sciendo, 2015 7(2014), 1, Seite 34-40 (DE-627)769499104 (DE-600)2736517-7 22559159 nnns volume:7 year:2014 number:1 pages:34-40 https://doi.org/10.1515/ecce-2014-0021 kostenfrei https://doaj.org/article/90e61e793bb44b88b93c960d16e4933b kostenfrei https://doi.org/10.1515/ecce-2014-0021 kostenfrei https://doaj.org/toc/2255-9159 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 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 2014 1 34-40 |
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10.1515/ecce-2014-0021 doi (DE-627)DOAJ041050797 (DE-599)DOAJ90e61e793bb44b88b93c960d16e4933b DE-627 ger DE-627 rakwb eng TK1-9971 Kunicina Nadezhda verfasserin aut Traffic Route Modelling and Assignment with Intelligent Transport System 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The development of signal transmitting environment for multimodal traffic control will enhance the integration of emergency and specialized transport routing tools in usual traffic control paradigms - it is one of the opportunities offered by modern intelligent traffic control systems. The improvement of effective electric power use in public transport system is an advantage of Intelligent Transport System (ITS). The research is connected with the improvement of on-line traffic control and adaptation of special traffic lighting alternatives by ITS. The assignment of the nearest appropriate transport will be done by passenger request, but unlike information system, the transport planning is done on demand. The task can be solved with the help of modern technical methods and equipment, as well as by applying control paradigms of the distributed systems. The problem is solved with the help of calculations hyper-graph and scheduling theory. The goal of the research is to develop methods, which support scheduling of the emergency transport, using high performance computing. intelligent transportation systems communication networks communication system traffic control intelligent vehicles land transportation Electrical engineering. Electronics. Nuclear engineering Galkina Alina verfasserin aut Zabasta Anatolijs verfasserin aut Patlins Antons verfasserin aut Kondratjevs Kaspars verfasserin aut In Electrical, Control and Communication Engineering Sciendo, 2015 7(2014), 1, Seite 34-40 (DE-627)769499104 (DE-600)2736517-7 22559159 nnns volume:7 year:2014 number:1 pages:34-40 https://doi.org/10.1515/ecce-2014-0021 kostenfrei https://doaj.org/article/90e61e793bb44b88b93c960d16e4933b kostenfrei https://doi.org/10.1515/ecce-2014-0021 kostenfrei https://doaj.org/toc/2255-9159 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 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 2014 1 34-40 |
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The development of signal transmitting environment for multimodal traffic control will enhance the integration of emergency and specialized transport routing tools in usual traffic control paradigms - it is one of the opportunities offered by modern intelligent traffic control systems. The improvement of effective electric power use in public transport system is an advantage of Intelligent Transport System (ITS). The research is connected with the improvement of on-line traffic control and adaptation of special traffic lighting alternatives by ITS. The assignment of the nearest appropriate transport will be done by passenger request, but unlike information system, the transport planning is done on demand. The task can be solved with the help of modern technical methods and equipment, as well as by applying control paradigms of the distributed systems. The problem is solved with the help of calculations hyper-graph and scheduling theory. The goal of the research is to develop methods, which support scheduling of the emergency transport, using high performance computing. |
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The development of signal transmitting environment for multimodal traffic control will enhance the integration of emergency and specialized transport routing tools in usual traffic control paradigms - it is one of the opportunities offered by modern intelligent traffic control systems. The improvement of effective electric power use in public transport system is an advantage of Intelligent Transport System (ITS). The research is connected with the improvement of on-line traffic control and adaptation of special traffic lighting alternatives by ITS. The assignment of the nearest appropriate transport will be done by passenger request, but unlike information system, the transport planning is done on demand. The task can be solved with the help of modern technical methods and equipment, as well as by applying control paradigms of the distributed systems. The problem is solved with the help of calculations hyper-graph and scheduling theory. The goal of the research is to develop methods, which support scheduling of the emergency transport, using high performance computing. |
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