2018
DOI: 10.1007/s12652-018-0826-z
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Geographical risk analysis based path selection for automatic, speedy, and reliable evacuation guiding using evacuees’ mobile devices

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Cited by 10 publications
(21 citation statements)
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“…low) level of the fire safety. There are several studies on earthquake emergencies in Italy and Japan [20,32,37]. Bernardini et al, considered multiple safety factors for evacuees (e.g., street vulnerability, street blockages probability, and crowding conditions along paths) and proposed a dynamic guidance tool based on Dijkstra's algorithm with the integrated safety index [37].…”
Section: Geographical Risk Analysis and Path Selectionmentioning
confidence: 99%
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“…low) level of the fire safety. There are several studies on earthquake emergencies in Italy and Japan [20,32,37]. Bernardini et al, considered multiple safety factors for evacuees (e.g., street vulnerability, street blockages probability, and crowding conditions along paths) and proposed a dynamic guidance tool based on Dijkstra's algorithm with the integrated safety index [37].…”
Section: Geographical Risk Analysis and Path Selectionmentioning
confidence: 99%
“…The detailed definition will be given in Appendix A. In [20], Hara et al proposed a geographical risk analysis-based path selection scheme that provides a speedy and safe route for each evacuee with the help of the road blockage probability.…”
Section: Geographical Risk Analysis and Path Selectionmentioning
confidence: 99%
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