Over the last decade, there has been a rise in extreme weather events which has affected the lives and wellbeing of the community. In Australia, frequent flooding has impacted the Hawkesbury-Nepean valley consequential in the loss of lives, animals, and property. This necessitates enhanced flood risk management through innovative response and evacuation strategies. Timely evacuation of victims from disaster-prone areas reduces the number of casualties. To save a maximum number of victims from the flood-prone area by optimum utilisation of resources requires computational approaches. This study proposes an Artificial Bee Colony algorithm to evacuate age care facility residents in the Hawkesbury-Nepean Valley. The results show that the proposed model can help the response managers to make decisions within appropriate computational time. The proposed model will facilitate the decision-makers to make timely decisions based on the number of victims, available transport facilities, and optimum scheduling and routing. Index Terms— Hawkesbury-Nepean valley, aged care facilities, flood risk management, Artificial Bee Colony algorithm, evacuation response, Capacitated Vehicle Routing Problem.
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11 July 2023
INTERNATIONAL CONFERENCE ON ADVANCES IN COMMUNICATION TECHNOLOGY AND COMPUTER ENGINEERING
24–25 June 2022
Meknes, Morocco
Research Article|
July 11 2023
Metaheuristics for capacitated vehicle routing for flood victims evacuation
Hafiz Suliman Munawar;
Hafiz Suliman Munawar
a)
1
School of Built Environment, University of New South Wales
, Kensington, Sydney, NSW 2052, Australia
a)Corresponding author: [email protected]
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Ahmed W. A. Hammad;
Ahmed W. A. Hammad
b)
1
School of Built Environment, University of New South Wales
, Kensington, Sydney, NSW 2052, Australia
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S. Travis Waller;
S. Travis Waller
c)
2
Lighthouse Professor and Chair of Transport Modelling and Simulation “Friedrich List” Faculty of Transport and Traffic Sciences Technische Universität Dresden
, Dresden, Germany
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Mohammad Mojtahedi;
Mohammad Mojtahedi
d)
1
School of Built Environment, University of New South Wales
, Kensington, Sydney, NSW 2052, Australia
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Junaid Akram
Junaid Akram
e)
3
School of Computer Science, The University of Sydney
, Camperdown, Sydney, NSW 2006, Australia
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a)Corresponding author: [email protected]
AIP Conf. Proc. 2814, 030010 (2023)
Citation
Hafiz Suliman Munawar, Ahmed W. A. Hammad, S. Travis Waller, Mohammad Mojtahedi, Junaid Akram; Metaheuristics for capacitated vehicle routing for flood victims evacuation. AIP Conf. Proc. 11 July 2023; 2814 (1): 030010. https://doi.org/10.1063/5.0161183
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