Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/110639
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dc.contributorSchool of Hotel and Tourism Management-
dc.creatorHu, Y-
dc.creatorLong, H-
dc.creatorChen, M-
dc.date.accessioned2024-12-27T06:27:22Z-
dc.date.available2024-12-27T06:27:22Z-
dc.identifier.urihttp://hdl.handle.net/10397/110639-
dc.language.isoenen_US
dc.publisherNature Publishing Groupen_US
dc.rightsThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.en_US
dc.rights© The Author(s) 2024en_US
dc.rightsThe following publication Hu, Y., Long, H. & Chen, M. The analysis of pedestrian flow in the smart city by improved DWA with robot assistance. Sci Rep 14, 11456 (2024) is available at https://doi.org/10.1038/s41598-024-62134-8.en_US
dc.subjectDynamic window approachen_US
dc.subjectPedestrian traffic flowen_US
dc.subjectRegulation of pedestrian flowen_US
dc.subjectSimulation experimenten_US
dc.subjectSmart cityen_US
dc.titleThe analysis of pedestrian flow in the smart city by improved DWA with robot assistanceen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume14-
dc.identifier.doi10.1038/s41598-024-62134-8-
dcterms.abstractWith the acceleration of urbanization in China, the urban population continues to grow, leading to frequent occurrences of crowded public spaces, which in turn trigger traffic congestion and even safety accidents. In order to more effectively control pedestrian flow, enhance the efficiency and safety of public spaces, this experiment conducts in-depth research and improvement on the traditional Dynamic Window Approach (DWA), and applies it to the fine control of pedestrian flow. Specifically, this study comprehensively reviews and analyzes the characteristics of pedestrian traffic flow and the working principles of traditional DWA. Based on this, the shortcomings of traditional DWA in dealing with complex pedestrian flow scenarios are identified, and targeted improvement solutions are proposed. The core of this improvement scheme lies in the introduction of a new evaluation function, enabling DWA to more accurately balance various factors in the decision-making process, including pedestrian movement speed, direction, and spatial distribution. Subsequently, the improved DWA is validated through simulation experiments. The experimental scenario is set in an area of 18 m*18 m, and compared with traditional DWA, the improved DWA shows significant advantages in trajectory length and travel time. Specifically, the trajectory length of the traditional DWA robot is 19.4 m, with a required time of 34.8 s, while the trajectory length of the improved DWA robot is shortened to 18.7 m, and the time is reduced to 18.6 s. This result fully demonstrates the effectiveness of the improved DWA in optimizing pedestrian flow control. The improved DWA proposed in this study not only has strong scientific validity but also demonstrates high efficiency in practical applications. This study has important reference value for improving the safety of urban public spaces and improving pedestrian traffic flow conditions, and provides new ideas for the further development of pedestrian flow control technology in the future.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationScientific reports, 2024, v. 14, 11456-
dcterms.isPartOfScientific reports-
dcterms.issued2024-
dc.identifier.scopus2-s2.0-85193489802-
dc.identifier.pmid38769113-
dc.identifier.eissn2045-2322-
dc.identifier.artn11456-
dc.description.validate202412 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextHubei Province Higher Education Advantageous and Characteristic Discipline Group in 14th fiveyear plan-“Modern service industry and information technology”; Project of “Study on the security risk warning mechanism of the cross-border flow of sensitive data of enterprises in Zhejiang in the era of digital economy” (2024 Philosophy and Social Science Project of Zhejiang Province); Wenzhou University’s New Liberal Arts Crossf ield Research Project in 2023 (General topic) for the project name of “Research on the Construction of Sudden Social Public Trust and Information Supervision Mechanism Driven by Data”en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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