An Innovation Approach for Optimal Resource Allocation in Emergency Management

Abstract

In metropolitan regions, emergency events with different severity levels usually require multiple resources that have appropriate functionalities, money expenditure, moving velocities, etc. These resources could distribute over an extensive area with different ownerships. Solving the resource allocation problem for such an event involves complicated collaboration of multiple emergency departments under strict time constraints. Traditional resource allocation approaches usually have difficulties to efficiently find out the best resource assignment within the time limits by considering the large number of possibilities, which result in a considerable increase in fatalities. In this paper, a multiagent-based decentralised resource allocation approach using the domain transportation theory is proposed to handle a multi-task emergency event. The proposed approach is designed to effectively select appropriate resources without the global information and to concurrently generate the resource deployment plans for multiple tasks by considering the severity level of an emergency event. In the experiments, the proposed approach is tested along with other related approaches, and the experimental results indicate that the proposed approach can efficiently generate the optimal solution in terms of resource allocation time and money expenditure.

Dynamic Resource Scheduling in Emergency Environment

“…For example, the approaches proposed by Chou et al [Chou, Tsai, Chen et al (2014)], Widener et al [Hawe, Coates, Wilson et al (2015); Widener, Horner et al (2015)] were designed to optimize the resource allocation for largescale emergency events with global information. In Zhang et al [Zhang, Zhang, Ren et al (2016)], Zhang et al proposed a distributed resource allocation method based on multiagent, which used the domain transmission theory to deal with emergencies, and effectively solved the problem of deploying the corresponding planning arrangement in the absence of appropriate resources with global information by considering the time severity level. In Liu et al [Liu, Zeng, Duan et al (2014)], Liu et al proposed a method based on E-net, which is a formal model based on Petri Net for emergency response process constrained by resources and uncertain duration.…”

Graph-Theoretic Models of Resource Distribution for Cyber-Physical Systems of Disaster-Affected Regions

“…Under rapidly changing conditions the Management Team must base their decisions on the most up to date knowledge of the disasteraffected region to have quality decisions regarding the available resources allocation [8]. On the other hand, still most activities and task associated with resource allocation are operated manually, which pose inefficiency in most cases [9].…”

Random Regret-Minimization Model for Emergency Resource Preallocation at Freeway Accident Black Spots

“…He presented a two-stage stochastic mixed 2 Journal of Advanced Transportation integer program before the disasters [6]. Zhang developed a multiagent-based decentralized resource allocation approach for different emergency events based on the domain transportation theory [7].…”