Optimisation of variable speed limits at the freeway lane drop bottleneck
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105991146. Available under License Creative Commons Attribution Non-commercial 4.0. |
Description
The primary objectives of this study were to use variable speed limits (VSL) upstream of freeway lane drop to maintain capacity and reduce congestion. As driving behaviours are the main reasons leading to capacity drop and the microscopic simulation can reflect driving behaviours precisely, microscopic simulations were first used to test lane drop scenarios. The objective function and constraints determined according to traffic engineering practice were optimised using a modified genetic algorithm (GA) based on microscopic simulation to get the optimal speed limit combination. The modified GA can guarantee the solution diversity and optimal results. Then, the cell transmission model, a macroscopic flow model, was used to crosscheck the simulated results. Both microscopic and macroscopic analysis results demonstrated that VSL could only improve lane drop traffic efficiency if speed limits were set appropriately. This study provided a new process from microscopic to macroscopic aspects for analysing traffic problems.
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ID Code: | 228550 | ||
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Item Type: | Contribution to Journal (Journal Article) | ||
Refereed: | Yes | ||
ORCID iD: |
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Additional Information: | Funding: The first author was a visiting student (October 2016 to November 2017) at Smart Transport Research Centre at Queensland University of Technology sponsored by China Scholarship Council [grant number 201606090148]. Besides, the research was partially sponsored Hebei Education Department [grant number QN2020134]. | ||
Measurements or Duration: | 23 pages | ||
DOI: | 10.1080/23249935.2022.2033878 | ||
ISSN: | 2324-9935 | ||
Pure ID: | 105991146 | ||
Divisions: | Current > Research Centres > Centre for Data Science Current > Research Centres > Centre for Future Mobility/CARRSQ Current > QUT Faculties and Divisions > Faculty of Science Current > QUT Faculties and Divisions > Faculty of Engineering Current > Schools > School of Civil & Environmental Engineering Current > QUT Faculties and Divisions > Faculty of Health |
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Copyright Owner: | 2022 Hong Kong Society for Transportation Studies Limited | ||
Copyright Statement: | This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au | ||
Deposited On: | 25 Feb 2022 03:25 | ||
Last Modified: | 07 Jun 2024 18:49 |
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