Schematic diagram of spiral update.
<div><p>As the new generation of information technology matures and improves, the functions of intelligent connected vehicles become more and more perfect, and the number of urban connected vehicles is also increasing. To provide an effective optimization scheme to the mixed traffic flow...
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2025
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| _version_ | 1852021142808690688 |
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| author | Anqi Jiang (4583380) |
| author2 | Faziawati binti Abdul Aziz (21161795) Norsidah binti Ujang (21161798) Mohd Afzan bin Mohamed (21161801) |
| author2_role | author author author |
| author_facet | Anqi Jiang (4583380) Faziawati binti Abdul Aziz (21161795) Norsidah binti Ujang (21161798) Mohd Afzan bin Mohamed (21161801) |
| author_role | author |
| dc.creator.none.fl_str_mv | Anqi Jiang (4583380) Faziawati binti Abdul Aziz (21161795) Norsidah binti Ujang (21161798) Mohd Afzan bin Mohamed (21161801) |
| dc.date.none.fl_str_mv | 2025-04-22T17:25:51Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0321540.g004 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/Schematic_diagram_of_spiral_update_/28841501 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biotechnology Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified urban connected vehicles road network ts information technology matures fairness index threshold effective optimization scheme current traffic situation 65 %, respectively research results contribute experimental results demonstrate around 30 iterations level programming model div >< p level model results showed around 10 wolfe algorithm study investigates solving algorithm operational safety new generation networked environment lane planning iris dataset convergence limit chaos strategy also increasing |
| dc.title.none.fl_str_mv | Schematic diagram of spiral update. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <div><p>As the new generation of information technology matures and improves, the functions of intelligent connected vehicles become more and more perfect, and the number of urban connected vehicles is also increasing. To provide an effective optimization scheme to the mixed traffic flow road network in the networked environment, the study investigates the lane planning for urban connected vehicles method. First, a lane planning for urban connected vehicles bi-level programming model is constructed. Then, the upper-level model is solved using improved whale optimization, and the lower-level model is solved using improved Frank-Wolfe algorithm. The results showed that the accuracy and recall of the proposed improved whale optimization algorithm on the Iris dataset were 95.27% and 92.65%, respectively, which were superior to traditional whale optimization algorithm, moth flame optimization algorithm, moth flame optimization algorithm combined with chaos strategy, and adaptive firefly optimization algorithm. The proposed improved Frank Wolfe algorithm can converge at around 30 iterations, with a convergence limit of around 10<sup>-4</sup>, which is superior to the traditional Frank Wolfe algorithm. The minimum total travel cost of the road system gradually decreases with the increase of the fairness index threshold. The experimental results demonstrate the effectiveness of the proposed urban connected vehicle lane planning model and solving algorithm. The research results contribute to improving the operational safety and efficiency of the road network TS, thereby improving the current traffic situation of the urban TS.</p></div> |
| eu_rights_str_mv | openAccess |
| id | Manara_43dded0d2dc05958d474e4ac6b4207c5 |
| identifier_str_mv | 10.1371/journal.pone.0321540.g004 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/28841501 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Schematic diagram of spiral update.Anqi Jiang (4583380)Faziawati binti Abdul Aziz (21161795)Norsidah binti Ujang (21161798)Mohd Afzan bin Mohamed (21161801)BiotechnologySpace ScienceBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedurban connected vehiclesroad network tsinformation technology maturesfairness index thresholdeffective optimization schemecurrent traffic situation65 %, respectivelyresearch results contributeexperimental results demonstratearound 30 iterationslevel programming modeldiv >< plevel modelresults showedaround 10wolfe algorithmstudy investigatessolving algorithmoperational safetynew generationnetworked environmentlane planningiris datasetconvergence limitchaos strategyalso increasing<div><p>As the new generation of information technology matures and improves, the functions of intelligent connected vehicles become more and more perfect, and the number of urban connected vehicles is also increasing. To provide an effective optimization scheme to the mixed traffic flow road network in the networked environment, the study investigates the lane planning for urban connected vehicles method. First, a lane planning for urban connected vehicles bi-level programming model is constructed. Then, the upper-level model is solved using improved whale optimization, and the lower-level model is solved using improved Frank-Wolfe algorithm. The results showed that the accuracy and recall of the proposed improved whale optimization algorithm on the Iris dataset were 95.27% and 92.65%, respectively, which were superior to traditional whale optimization algorithm, moth flame optimization algorithm, moth flame optimization algorithm combined with chaos strategy, and adaptive firefly optimization algorithm. The proposed improved Frank Wolfe algorithm can converge at around 30 iterations, with a convergence limit of around 10<sup>-4</sup>, which is superior to the traditional Frank Wolfe algorithm. The minimum total travel cost of the road system gradually decreases with the increase of the fairness index threshold. The experimental results demonstrate the effectiveness of the proposed urban connected vehicle lane planning model and solving algorithm. The research results contribute to improving the operational safety and efficiency of the road network TS, thereby improving the current traffic situation of the urban TS.</p></div>2025-04-22T17:25:51ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0321540.g004https://figshare.com/articles/figure/Schematic_diagram_of_spiral_update_/28841501CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/288415012025-04-22T17:25:51Z |
| spellingShingle | Schematic diagram of spiral update. Anqi Jiang (4583380) Biotechnology Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified urban connected vehicles road network ts information technology matures fairness index threshold effective optimization scheme current traffic situation 65 %, respectively research results contribute experimental results demonstrate around 30 iterations level programming model div >< p level model results showed around 10 wolfe algorithm study investigates solving algorithm operational safety new generation networked environment lane planning iris dataset convergence limit chaos strategy also increasing |
| status_str | publishedVersion |
| title | Schematic diagram of spiral update. |
| title_full | Schematic diagram of spiral update. |
| title_fullStr | Schematic diagram of spiral update. |
| title_full_unstemmed | Schematic diagram of spiral update. |
| title_short | Schematic diagram of spiral update. |
| title_sort | Schematic diagram of spiral update. |
| topic | Biotechnology Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified urban connected vehicles road network ts information technology matures fairness index threshold effective optimization scheme current traffic situation 65 %, respectively research results contribute experimental results demonstrate around 30 iterations level programming model div >< p level model results showed around 10 wolfe algorithm study investigates solving algorithm operational safety new generation networked environment lane planning iris dataset convergence limit chaos strategy also increasing |