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Advancing Traffic Safety Analysis: A Novel Lightweight Rule-Based and Part-of-Speech Tagging-Based Approach for Information Extraction from Crash Reports

dc.contributor.authorLai, Jingyi
dc.contributor.authorYang, Fan
dc.contributor.authorLi, Hang
dc.contributor.authorZhang, Jiansong
dc.contributor.authorFeng, Yiheng
dc.contributor.authorHan, Tianfang
dc.contributor.authorChen, Yunfeng
dc.date.accessioned2026-08-20T21:24:46Z
dc.date.available2026-08-20T21:24:46Z
dc.date.copyright2025/09/17
dc.date.issued2026
dc.identifier.otherJCCEE5.CPENG-6634.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314410
dc.description.abstractAbstractRoad safety remains a critical issue as traffic accidents continue to rise. Analyzing crash reports is vital for understanding accident causation and implementing preventative measures. In this research, we focused on developing an information ...
dc.publisherAmerican Society of Civil Engineers
dc.titleAdvancing Traffic Safety Analysis: A Novel Lightweight Rule-Based and Part-of-Speech Tagging-Based Approach for Information Extraction from Crash Reports
dc.typeJournal Article
dc.journal.volume40
dc.journal.issue1
dc.journal.titleJournal of Computing in Civil Engineering
dc.identifier.doi10.1061/JCCEE5.CPENG-6634
dc.journal.fristpage04025105-1
dc.journal.lastpage04025105-19
dc.page19
dc.treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 001
dc.contenttypeFulltext


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