Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/115950
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Building Environment and Energy Engineering | - |
| dc.creator | Wong, HY | - |
| dc.creator | Wang, M | - |
| dc.creator | Zhang, X | - |
| dc.creator | Zhang, Y | - |
| dc.creator | Wong, MC | - |
| dc.creator | Huang, X | - |
| dc.date.accessioned | 2025-11-18T06:48:26Z | - |
| dc.date.available | 2025-11-18T06:48:26Z | - |
| dc.identifier.issn | 2096-7527 | - |
| dc.identifier.uri | http://hdl.handle.net/10397/115950 | - |
| dc.language.iso | en | en_US |
| dc.publisher | KeAi Publishing Communications Ltd. | en_US |
| dc.rights | © 2025 China Science Publishing & Media Ltd. Publishing Services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). | en_US |
| dc.rights | The following publication Wong, H. Y., Wang, M., Zhang, X., Zhang, Y., Wong, M. C., & Huang, X. (2025). Safe evacuation framework with intelligent dynamic exit sign system and demonstration in tunnel fire. Journal of Safety Science and Resilience, 6(3), 100183 is available at https://doi.org/10.1016/j.jnlssr.2024.12.001. | en_US |
| dc.subject | Dynamic patterns | en_US |
| dc.subject | Intelligent firefighting | en_US |
| dc.subject | Internet of Things | en_US |
| dc.subject | Safe egress | en_US |
| dc.subject | Smart evacuation | en_US |
| dc.subject | Tunnel model | en_US |
| dc.title | Safe evacuation framework with intelligent dynamic exit sign system and demonstration in tunnel fire | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.volume | 6 | - |
| dc.identifier.issue | 3 | - |
| dc.identifier.doi | 10.1016/j.jnlssr.2024.12.001 | - |
| dcterms.abstract | Emergency exit sign systems guide occupants to safety, but they may fail in fires when smoke blocks routes. This study introduces an Intelligent Dynamic Exit Sign (IDES) system, integrating a fire-detection sensor network with dynamic sign patterns, which could enhance evacuation safety by always guiding occupants away from hazards. The system's operation framework and design rules ensure effective implementation. To address ethical concerns in complex scenarios, IDES includes a reversion mechanism that switches dynamic signs back to conventional static signs when necessary. The system's effectiveness is demonstrated through prototyping in a lab-scale tunnel model, assessing both the dynamic patterns and hardware reliability. Results show the potential of IDES to automatically optimize evacuation procedures and occupant safety during emergencies. Furthermore, the study delves into challenges associated with real-world implementation and offers insights for future applications of this innovative safety solution in more complex built environments. | - |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | Journal of safety science and resilience, Sept 2025, v. 6, no. 3, 100183 | - |
| dcterms.isPartOf | Journal of safety science and resilience | - |
| dcterms.issued | 2025-09 | - |
| dc.identifier.scopus | 2-s2.0-105008551495 | - |
| dc.identifier.eissn | 2666-4496, | - |
| dc.identifier.artn | 100183 | - |
| dc.description.validate | 202511 bcch | - |
| dc.description.oa | Version of Record | en_US |
| dc.identifier.FolderNumber | OA_Scopus/WOS | en_US |
| dc.description.fundingSource | RGC | en_US |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | This work is funded by the Hong Kong Research Grants Council Theme-based Research Scheme (T22–505/19-N), the National Natural Science Foundation of China (52204232), and the MTR Research Funding Scheme (PTU-23005). | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.description.oaCategory | CC | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 1-s2.0-S2666449625000015-main.pdf | 6.17 MB | Adobe PDF | View/Open |
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