Abstract
Incident managers assigning wildfire response vehicles to provide protection to community assets may experience disruptions to their plans arising from factors such as changes in weather, vehicle breakdowns or road closures. We develop an approach to rerouting wildfire response vehicles once a disruption has occurred. The aim is to maximise the total value of assets protected while minimising changes to the original vehicle assignments. A number of functions to measure deviations from the original plans are proposed. The approach is demonstrated using a realistic fire scenario impacting South Hobart, Tasmania, Australia. Computational testing shows that realistic sized problems can be solved within a reasonable time using a commercial solver.
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Notes
If \(\mathcal {L}\) is the set of all possible location pairs, then for each \(p \in {\mathcal {P}}\), \((i,j) \in {\mathcal {E}}_p\) if and only if \({(i,j)} \in \mathcal {L}\) and \(o_i + a_i+ t_{ijp} \le c_j\).
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Acknowledgements
We would like to thank Damien Killalea and Chris Collins from the Tasmania Fire Service for valuable discussions and information provided on the problems faced in wildfire incident management. This work was supported by the Bushfire CRC in the form of scholarship funding to Martijn van der Merwe. Melih Ozlen is supported by the Australian Research Council under the Discovery Projects funding scheme (project DP140104246). Computational testing was carried out on Trifid, a high performance computer cluster belonging to V3 Alliance.
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van der Merwe, M., Ozlen, M., Hearne, J.W. et al. Dynamic rerouting of vehicles during cooperative wildfire response operations. Ann Oper Res 254, 467–480 (2017). https://doi.org/10.1007/s10479-017-2473-8
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DOI: https://doi.org/10.1007/s10479-017-2473-8