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

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Title: A Resilient Agent-Based Re-Organizing Traffic Network for Urban Evacuations
Authors: Al-Zinati, M., Zalila-Wenkstern, Rym
Contributors: Zalila-Wenkstern, Rym, 2863148574264724430006 (Zalila-Wenkstern, R), 0000-0002-2062-6794 (Zalila-Wenkstern, R)
Publisher Information: Springer Verlag
Publication Year: 2018
Subject Terms: Simulation methods, Resilience (Personality trait), Traffic engineering, Financial statements--Data processing, Electric network topology, Multiagent systems
Description: Full text access from Treasures at UT Dallas is restricted to current UTD affiliates. ; Includes supplementary material ; Implementing 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. ; Erik Jonsson School of Engineering and Computer Science
Document Type: article in journal/newspaper
File Description: application/pdf
Language: English
Relation: Lecture Notes In Computer Science; http://dx.doi.org/10.1007/978-3-319-94580-4_4; https://hdl.handle.net/10735.1/6562; 10978
Availability: https://hdl.handle.net/10735.1/6562
Rights: ©2018, Springer International Publishing AG, part of Springer Nature.
Accession Number: edsbas.AC02FD1E
Database: BASE
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  – Url: https://hdl.handle.net/10735.1/6562#
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  Data: A Resilient Agent-Based Re-Organizing Traffic Network for Urban Evacuations
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  Data: <searchLink fieldCode="AR" term="%22Al-Zinati%2C+M%2E%22">Al-Zinati, M.</searchLink><br /><searchLink fieldCode="AR" term="%22Zalila-Wenkstern%2C+Rym%22">Zalila-Wenkstern, Rym</searchLink>
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  Data: Zalila-Wenkstern, Rym<br />2863148574264724430006 (Zalila-Wenkstern, R)<br />0000-0002-2062-6794 (Zalila-Wenkstern, R)
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  Data: Springer Verlag
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  Label: Publication Year
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  Data: 2018
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  Data: <searchLink fieldCode="DE" term="%22Simulation+methods%22">Simulation methods</searchLink><br /><searchLink fieldCode="DE" term="%22Resilience+%28Personality+trait%29%22">Resilience (Personality trait)</searchLink><br /><searchLink fieldCode="DE" term="%22Traffic+engineering%22">Traffic engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Financial+statements--Data+processing%22">Financial statements--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+network+topology%22">Electric network topology</searchLink><br /><searchLink fieldCode="DE" term="%22Multiagent+systems%22">Multiagent systems</searchLink>
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  Label: Description
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  Data: Full text access from Treasures at UT Dallas is restricted to current UTD affiliates. ; Includes supplementary material ; Implementing 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. ; Erik Jonsson School of Engineering and Computer Science
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  Data: Lecture Notes In Computer Science; http://dx.doi.org/10.1007/978-3-319-94580-4_4; https://hdl.handle.net/10735.1/6562; 10978
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      – SubjectFull: Resilience (Personality trait)
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