A-RESCUE: An Agent based Regional Evacuation Simulator Coupled with User Enriched Behavior

Household behavior and dynamic traffic flows are the two most important aspects of hurricane evacuations. However, current evacuation models largely overlook the complexity of household behavior leading to oversimplified traffic assignments and, as a result, inaccurate evacuation clearance times in...

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Veröffentlicht in:	Networks and spatial economics Jg. 17; H. 1; S. 197 - 223
Hauptverfasser:	Ukkusuri, Satish V., Hasan, Samiul, Luong, Binh, Doan, Kien, Zhan, Xianyuan, Murray-Tuite, Pamela, Yin, Weihao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.03.2017 Springer Nature B.V
Schlagworte:	Behavior Civil Engineering Computer simulation Decision making Decisions Economics Economics and Finance Evacuation Evacuation routing Evacuations & rescues Households Hurricanes Mathematical analysis Networks Operations Research/Decision Theory Regional/Spatial Science Roads & highways Route choice Routing Simulation Studies Traffic assignment Traffic congestion Traffic flow Traffic models Traffic simulation Hurricane evacuation Dynamic routing Agent based modeling Discrete choice model
ISSN:	1566-113X, 1572-9427
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Abstract	Household behavior and dynamic traffic flows are the two most important aspects of hurricane evacuations. However, current evacuation models largely overlook the complexity of household behavior leading to oversimplified traffic assignments and, as a result, inaccurate evacuation clearance times in the network. In this paper, we present a high fidelity multi-agent simulation model called A-RESCUE (Agent-based Regional Evacuation Simulator Coupled with User Enriched behavior) that integrates the rich activity behavior of the evacuating households with the network level assignment to predict and evaluate evacuation clearance times. The simulator can generate evacuation demand on the fly, truly capturing the dynamic nature of a hurricane evacuation. The simulator consists of two major components: household decision-making module and traffic flow module. In the simulation, each household is an agent making various evacuation related decisions based on advanced behavioral models. From household decisions, a number of vehicles are generated and entered in the evacuation transportation network at different time intervals. An adaptive routing strategy that can achieve efficient network-wide traffic measurements is proposed. Computational results are presented based on simulations over the Miami-Dade network with detailed representation of the road network geometry. The simulation results demonstrate the evolution of traffic congestion as a function of the household decision-making, the variance of the congestion across different areas relative to the storm path and the most congested O-D pairs in the network. The simulation tool can be used as a planning tool to make decisions related to how traffic information should be communicated and in the design of traffic management policies such as contra-flow strategies during evacuations.
AbstractList	Household behavior and dynamic traffic flows are the two most important aspects of hurricane evacuations. However, current evacuation models largely overlook the complexity of household behavior leading to oversimplified traffic assignments and, as a result, inaccurate evacuation clearance times in the network. In this paper, we present a high fidelity multi-agent simulation model called A-RESCUE (Agent-based Regional Evacuation Simulator Coupled with User Enriched behavior) that integrates the rich activity behavior of the evacuating households with the network level assignment to predict and evaluate evacuation clearance times. The simulator can generate evacuation demand on the fly, truly capturing the dynamic nature of a hurricane evacuation. The simulator consists of two major components: household decision-making module and traffic flow module. In the simulation, each household is an agent making various evacuation related decisions based on advanced behavioral models. From household decisions, a number of vehicles are generated and entered in the evacuation transportation network at different time intervals. An adaptive routing strategy that can achieve efficient network-wide traffic measurements is proposed. Computational results are presented based on simulations over the Miami-Dade network with detailed representation of the road network geometry. The simulation results demonstrate the evolution of traffic congestion as a function of the household decision-making, the variance of the congestion across different areas relative to the storm path and the most congested O-D pairs in the network. The simulation tool can be used as a planning tool to make decisions related to how traffic information should be communicated and in the design of traffic management policies such as contra-flow strategies during evacuations.
Author	Zhan, Xianyuan Hasan, Samiul Murray-Tuite, Pamela Yin, Weihao Luong, Binh Doan, Kien Ukkusuri, Satish V.
Author_xml	– sequence: 1 givenname: Satish V. surname: Ukkusuri fullname: Ukkusuri, Satish V. email: sukkusur@purdue.edu organization: Lyles School of Civil Engineering, Purdue University – sequence: 2 givenname: Samiul surname: Hasan fullname: Hasan, Samiul organization: CSIRO, Cities Program, Land & Water Flagship – sequence: 3 givenname: Binh surname: Luong fullname: Luong, Binh organization: Lyles School of Civil Engineering, Purdue University – sequence: 4 givenname: Kien surname: Doan fullname: Doan, Kien organization: Urban-Civil Works Construction Investment Management Authority of Ho Chi Minh City – sequence: 5 givenname: Xianyuan surname: Zhan fullname: Zhan, Xianyuan organization: Lyles School of Civil Engineering, Purdue University – sequence: 6 givenname: Pamela surname: Murray-Tuite fullname: Murray-Tuite, Pamela organization: Department of Civil and Environmental Engineering, Virginia Tech – sequence: 7 givenname: Weihao surname: Yin fullname: Yin, Weihao organization: Department of Civil and Environmental Engineering, Virginia Tech
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Keywords	Traffic simulation Hurricane evacuation Dynamic routing Agent based modeling Discrete choice model
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SubjectTerms	Behavior Civil Engineering Computer simulation Decision making Decisions Economics Economics and Finance Evacuation Evacuation routing Evacuations & rescues Households Hurricanes Mathematical analysis Networks Operations Research/Decision Theory Regional/Spatial Science Roads & highways Route choice Routing Simulation Studies Traffic assignment Traffic congestion Traffic flow Traffic models
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Title	A-RESCUE: An Agent based Regional Evacuation Simulator Coupled with User Enriched Behavior
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