A Resilient Agent-Based Re-Organizing Traffic Network for Urban Evacuations

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dc.contributor.ORCID0000-0002-2062-6794 (Zalila-Wenkstern, R)
dc.contributor.VIAF2863148574264724430006 (Zalila-Wenkstern, R)
dc.contributor.authorAl-Zinati, M.
dc.contributor.authorZalila-Wenkstern, Rym
dc.contributor.utdAuthorZalila-Wenkstern, Rym
dc.date.accessioned2019-06-05T22:38:44Z
dc.date.available2019-06-05T22:38:44Z
dc.date.created2018-06-20
dc.descriptionFull text access from Treasures at UT Dallas is restricted to current UTD affiliates.
dc.descriptionIncludes supplementary material
dc.description.abstractImplementing effective traffic road reversals is a complex problem: it requires clearing roads from traffic before implementing safe road reversal operations and often results in anomalies in the network topology. Road reversals are further complicated when, due to unexpected events (e.g., torrential rains), roads are suddenly closed. Current traffic road reversal approaches are based on the execution of mathematical models which identify upfront, optimal reversal configurations for the entire traffic network. These approaches assume that the traffic network structure is static, and as such do not allow for dynamic road closures. In this paper, we present a resilient agent-based re-organizing traffic model for urban evacuations. Resilience refers to the traffic network’s ability to regain its evacuation function quickly and efficiently after severe perturbations. The proposed model integrates road reversal and zoning strategies. Experimental results show that: (a) the model improves the evacuation effort, and (b) the evacuation function is able to cope quickly and effectively with dynamic road closures.
dc.description.departmentErik Jonsson School of Engineering and Computer Science
dc.identifier.bibliographicCitationAl-Zinati, M., and R. Zalila-Wenkstern. 2018. "A resilient agent-based re-organizing traffic network for urban evacuations." Lecture Notes In Computer Science 10978: 42-58, doi:10.1007/978-3-319-94580-4_4
dc.identifier.issn0302-9743
dc.identifier.urihttps://hdl.handle.net/10735.1/6562
dc.identifier.volume10978
dc.language.isoen
dc.publisherSpringer Verlag
dc.relationLecture Notes In Computer Science
dc.relation.urihttp://dx.doi.org/10.1007/978-3-319-94580-4_4
dc.rights©2018, Springer International Publishing AG, part of Springer Nature.
dc.subjectSimulation methods
dc.subjectResilience (Personality trait)
dc.subjectTraffic engineering
dc.subjectFinancial statements--Data processing
dc.subjectElectric network topology
dc.subjectMultiagent systems
dc.titleA Resilient Agent-Based Re-Organizing Traffic Network for Urban Evacuations
dc.type.genrearticle

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