Traffic modeling for wildland-urban interface fire evacuation

Paolo Intini, Enrico Ronchi, Steven Gwynne, Adam Pel

Research output: Contribution to journalArticleScientificpeer-review

10 Citations (Scopus)
93 Downloads (Pure)

Abstract

Several traffic modeling tools are currently available for evacuation planning and real-time decision support during emergencies. This paper reviews potential traffic-modeling approaches in the context of wildland-urban interface (WUI) fire-evacuation applications. Existing modeling approaches and features are evaluated pertaining to fire-related, spatial, and demographic factors; intended application (planning or decision support); and temporal issues. This systematic review shows the importance of the following modeling approaches: dynamic modeling structures, considering behavioral variability and route choice; activity-based models for short-notice evacuation planning; and macroscopic traffic simulation for real-time evacuation management. Subsequently, the modeling features of 22 traffic models and applications currently available in practice and the literature are reviewed and matched with the benchmark features identified for WUI fire applications. Based on this review analysis, recommendations are made for developing traffic models specifically applicable to WUI fire evacuation, including possible integrations with wildfire and pedestrian models.
Original languageEnglish
Article number04019002
Pages (from-to)1-15
Number of pages15
JournalJournal of Transportation Engineering Part A: Systems
Volume145
Issue number3
DOIs
Publication statusPublished - 2019

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