Enhanced motorway capacity estimation considering the impact of vehicle length on the fundamental diagram
Abstract The ability to understand the underlying fundamentals of traffic flow behaviour facilitates improved planning and decision‐making for road operators. This paper presents an overview of the various models which can be used to describe the interaction between the different parameters governin...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2024-12-01
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| Series: | IET Intelligent Transport Systems |
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| Online Access: | https://doi.org/10.1049/itr2.12547 |
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| _version_ | 1846118170175209472 |
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| author | Erik Giesen Loo Robert Corbally Lewis Feely Andrew O'Sullivan |
| author_facet | Erik Giesen Loo Robert Corbally Lewis Feely Andrew O'Sullivan |
| author_sort | Erik Giesen Loo |
| collection | DOAJ |
| description | Abstract The ability to understand the underlying fundamentals of traffic flow behaviour facilitates improved planning and decision‐making for road operators. This paper presents an overview of the various models which can be used to describe the interaction between the different parameters governing traffic flows. 5‐years of measured data from Ireland's M50 motorway are used to demonstrate the application of traffic flow theory using real data, and a detailed investigation of factors affecting the fundamental traffic behaviour is presented. The road capacity is shown to be impacted by different traffic behaviour during morning and evening‐peak periods, during dry vs. wet weather conditions and between lanes on the approach to junctions. It is demonstrated that the mean vehicle length is an important factor to consider when using traffic flow models. A novel 3‐dimensional fundamental diagram model linking mean vehicle speed, mean vehicle length, and density is introduced which enhances capacity estimation and illustrates the importance of considering vehicle length when using the fundamental diagram to interpret traffic flows and estimate the capacity of the motorway. |
| format | Article |
| id | doaj-art-01c6dfdcedb643c6890dba009a41d261 |
| institution | Kabale University |
| issn | 1751-956X 1751-9578 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Intelligent Transport Systems |
| spelling | doaj-art-01c6dfdcedb643c6890dba009a41d2612024-12-18T04:38:04ZengWileyIET Intelligent Transport Systems1751-956X1751-95782024-12-0118S12995301210.1049/itr2.12547Enhanced motorway capacity estimation considering the impact of vehicle length on the fundamental diagramErik Giesen Loo0Robert Corbally1Lewis Feely2Andrew O'Sullivan3Research & Innovation ROD‐IS Roughan & O'Donovan Dublin IrelandResearch & Innovation ROD‐IS Roughan & O'Donovan Dublin IrelandResearch & Innovation ROD‐IS Roughan & O'Donovan Dublin IrelandNetwork Operations Transport Infrastructure Ireland Dublin IrelandAbstract The ability to understand the underlying fundamentals of traffic flow behaviour facilitates improved planning and decision‐making for road operators. This paper presents an overview of the various models which can be used to describe the interaction between the different parameters governing traffic flows. 5‐years of measured data from Ireland's M50 motorway are used to demonstrate the application of traffic flow theory using real data, and a detailed investigation of factors affecting the fundamental traffic behaviour is presented. The road capacity is shown to be impacted by different traffic behaviour during morning and evening‐peak periods, during dry vs. wet weather conditions and between lanes on the approach to junctions. It is demonstrated that the mean vehicle length is an important factor to consider when using traffic flow models. A novel 3‐dimensional fundamental diagram model linking mean vehicle speed, mean vehicle length, and density is introduced which enhances capacity estimation and illustrates the importance of considering vehicle length when using the fundamental diagram to interpret traffic flows and estimate the capacity of the motorway.https://doi.org/10.1049/itr2.12547management and controltraffictraffic engineering computingtraffic modelling |
| spellingShingle | Erik Giesen Loo Robert Corbally Lewis Feely Andrew O'Sullivan Enhanced motorway capacity estimation considering the impact of vehicle length on the fundamental diagram IET Intelligent Transport Systems management and control traffic traffic engineering computing traffic modelling |
| title | Enhanced motorway capacity estimation considering the impact of vehicle length on the fundamental diagram |
| title_full | Enhanced motorway capacity estimation considering the impact of vehicle length on the fundamental diagram |
| title_fullStr | Enhanced motorway capacity estimation considering the impact of vehicle length on the fundamental diagram |
| title_full_unstemmed | Enhanced motorway capacity estimation considering the impact of vehicle length on the fundamental diagram |
| title_short | Enhanced motorway capacity estimation considering the impact of vehicle length on the fundamental diagram |
| title_sort | enhanced motorway capacity estimation considering the impact of vehicle length on the fundamental diagram |
| topic | management and control traffic traffic engineering computing traffic modelling |
| url | https://doi.org/10.1049/itr2.12547 |
| work_keys_str_mv | AT erikgiesenloo enhancedmotorwaycapacityestimationconsideringtheimpactofvehiclelengthonthefundamentaldiagram AT robertcorbally enhancedmotorwaycapacityestimationconsideringtheimpactofvehiclelengthonthefundamentaldiagram AT lewisfeely enhancedmotorwaycapacityestimationconsideringtheimpactofvehiclelengthonthefundamentaldiagram AT andrewosullivan enhancedmotorwaycapacityestimationconsideringtheimpactofvehiclelengthonthefundamentaldiagram |