Disaster Evacuation Guidance Using Opportunistic Communication: The Potential for Opportunity-Based Service

Fujihara, Atsuko; Miwa, Hiroyoshi

doi:10.1007/978-3-319-05029-4_18

Cited by 42 publications

(36 citation statements)

References 32 publications

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“…Various studies have been done for evacuation support in large-scale disasters and some of them focus on traffic congestion caused by evacuation behavior [2,3,[5][6][7][8][9]. These are mainly divided into two types: analysis of evacuation behavior based on disaster simulations and field survey [3,5], and evacuation guiding using information and communication technology [2,[6][7][8][9].…”

Section: Related Workmentioning

confidence: 99%

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Congestion-aware route selection in automatic evacuation guiding based on cooperation between evacuees and their mobile nodes

Kasai

Sasabe

Kasahara

2017

J Wireless Com Network

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When a large-scale disaster occurs, evacuees have to evacuate to safe places quickly. For this purpose, an automatic evacuation guiding scheme based on cooperation between evacuees and their mobile nodes has been proposed. The previous work adopts shortest-distance based route selection and does not consider the impact of traffic congestion caused by evacuation guiding. In this paper, we propose congestion-aware route selection in the automatic evacuation guiding. We first adopt a traffic congestion model where each evacuee's moving speed on a road is determined by the population density of the road and his/her order among evacuees traveling in the same direction. Based on this congestion model, each evacuee's mobile node estimates the cost, i.e., traveling time, of each road in the area. Each mobile node collects information about blocked road segments and positions of other evacuees through communication infrastructures or other mobile nodes. Based on the obtained information, it calculates and selects the smallest-cost route. Through simulation experiments, we show that the congestion-aware route selection can reduce both average and maximum evacuation times compared to the shortest-distance-based route selection, especially under highly congested situations. Furthermore, we show that the congestion-aware route selection can work well even under highly damaged situations where only direct wireless communication among mobile nodes is available.

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Section: Related Workmentioning

confidence: 99%

“…These are mainly divided into two types: analysis of evacuation behavior based on disaster simulations and field survey [3,5], and evacuation guiding using information and communication technology [2,[6][7][8][9].…”

Section: Related Workmentioning

confidence: 99%

Congestion-aware route selection in automatic evacuation guiding based on cooperation between evacuees and their mobile nodes

Kasai

Sasabe

Kasahara

2017

J Wireless Com Network

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“…However, a larger number of evacuees also implies an increased risk of congestions [58]. Similar work has been done by Fujihara and Miwa [66]. They considered the opportunistic communication of mobile nodes in Mobile Opportunistic Networks (MONs), and assumed also a navigation service.…”

Section: Decentralized Evacuationmentioning

confidence: 99%

Integrating Decentralized Indoor Evacuation with Information Depositories in the Field

Zhao

Winter

Tomko

2017

IJGI

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Abstract:The lonelier evacuees find themselves, the riskier become their wayfinding decisions. This research supports single evacuees in a dynamically changing environment with risk-aware guidance. It deploys the concept of decentralized evacuation, where evacuees are guided by smartphones acquiring environmental knowledge and risk information via exploration and knowledge sharing by peer-to-peer communication. Peer-to-peer communication, however, relies on the chance that people come into communication range with each other. This chance can be low. To bridge between people being not at the same time at the same places, this paper suggests information depositories at strategic locations to improve information sharing. Information depositories collect the knowledge acquired by the smartphones of evacuees passing by, maintain this information, and convey it to other passing-by evacuees. Multi-agent simulation implementing these depositories in an indoor environment shows that integrating depositories improves evacuation performance: It enhances the risk awareness and consequently increases the chance that people survive and reduces their evacuation time. For evacuating dynamic events, deploying depositories at staircases has been shown more effective than deploying them in corridors.

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“…Indeed, even though cellular network infrastructure might have been destroyed, mobile devices such as smartphones can be used for short-range based opportunistic communications and thus can offer several disaster recovery services [2], [3]. For instance, as shown in Fig.…”

Section: Introductionmentioning

confidence: 99%

“…Recent literature works [2][3][4][5][6] have proposed disaster recovery solutions that exploit opportunistic communications while some important features have been left behind. Indeed, they did not consider mobile devices equipped with multiple network technologies.…”

Section: Introductionmentioning

confidence: 99%

Opportunistic disaster recovery

Mezghani

Mitton

2018

Internet Technology Letters

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Abstract-Disaster scenarios require different recovery solutions such as evacuation guidance, to perform the right action for wounded persons and efficiency diffuse useful alert for locating trapped survivors. These latter are constrained mainly by the infrastructure-less environment caused by the disaster damage (e.g. storm, earthquake). Exploiting opportunistic communications to design recovery solutions presents a promising solution. However, several constraints are encountered, mainly, the multinetwork assortment integrated in mobile equipment and the limited and various battery powers of mobile devices. This work presents a cooperative-based solution, COPE, that exploits the multi-network feature of mobile devices and takes the various power levels into account. COPE allows the coverage of a large area for a longer time while guaranteeing an important alert delivery.

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Disaster Evacuation Guidance Using Opportunistic Communication: The Potential for Opportunity-Based Service

Cited by 42 publications

References 32 publications

Congestion-aware route selection in automatic evacuation guiding based on cooperation between evacuees and their mobile nodes

Congestion-aware route selection in automatic evacuation guiding based on cooperation between evacuees and their mobile nodes

Integrating Decentralized Indoor Evacuation with Information Depositories in the Field

Opportunistic disaster recovery

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