Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/92551
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Electrical Engineering | en_US |
dc.creator | Zhang, C | en_US |
dc.creator | Sabar, NR | en_US |
dc.creator | Chung, E | en_US |
dc.creator | Bhaskar, A | en_US |
dc.creator | Guo, X | en_US |
dc.date.accessioned | 2022-04-26T06:00:35Z | - |
dc.date.available | 2022-04-26T06:00:35Z | - |
dc.identifier.issn | 0968-090X | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/92551 | - |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | © 2019 Elsevier Ltd. All rights reserved. | en_US |
dc.rights | © 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/. | en_US |
dc.rights | The following publication Zhang, C., Sabar, N. R., Chung, E., Bhaskar, A., & Guo, X. (2019). Optimisation of lane-changing advisory at the motorway lane drop bottleneck. Transportation Research Part C: Emerging Technologies, 106, 303-316 is available at https://dx.doi.org/10.1016/j.trc.2019.07.016. | en_US |
dc.subject | Cooperative intelligent transport systems | en_US |
dc.subject | Hyper-heuristic optimisation | en_US |
dc.subject | Lane drop | en_US |
dc.subject | Lane-changing advisory | en_US |
dc.subject | Lane-changing distribution | en_US |
dc.title | Optimisation of lane-changing advisory at the motorway lane drop bottleneck | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 303 | en_US |
dc.identifier.epage | 316 | en_US |
dc.identifier.volume | 106 | en_US |
dc.identifier.doi | 10.1016/j.trc.2019.07.016 | en_US |
dcterms.abstract | Reduction in the number of lanes (lane drop) is common on motorways due to road design, incidents, or road maintenance, and it can be an active bottleneck if the traffic demand is high. If congestion occurs, the lane drop capacity will decrease 10–20%. In order to avoid capacity drop, this study analysed the reason and proposed lane-changing advisory control on the merge lane to distribute lane-changing using Cooperative Intelligent Transport Systems (C-ITS) technology. Further, this study used hyper-heuristic optimisation to obtain the lane-changing advisory proportion of each segment upstream of lane drop. Conditions of different traffic demands were analysed using the microscopic traffic simulation software AIMSUN and its Application Program Interface (API) function. Results indicated that the proposed lane-changing advisory strategy could reduce traffic congestion and obviously improve traffic efficiency. This study also analysed the effects with different proportions of connected vehicles and found that if the connected vehicle ratio is less than 20%, the lane-changing advisory has little impact on the lane drop performance, and that if the penetration rate is more than 50%, the gain in performance is marginal. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Transportation research. Part C, Emerging technologies, Sept 2019, v. 106, p. 303-316 | en_US |
dcterms.isPartOf | Transportation research. Part C, Emerging technologies | en_US |
dcterms.issued | 2019-09 | - |
dc.identifier.scopus | 2-s2.0-85069825589 | - |
dc.description.validate | 202204 bcch | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | a1259, EE-0179 | - |
dc.identifier.SubFormID | 44381 | - |
dc.description.fundingSource | Self-funded | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 14485724 | - |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
EE-0179_Chung_Optimisation_Lane-Changing_Advisory.pdf | Pre-Published version | 1.35 MB | Adobe PDF | View/Open |
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