Path Selection Algorithms for Emergency Logistics Based Time Expectation

Chen, Liwei; Tang, Quanhua

doi:10.1061/41139(387)511

Cited by 2 publications

(1 citation statement)

References 3 publications

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“…The results show that it is a variable influenced by a large number of uncertainties, including emergency evolution dynamics, human behaviors under emergency conditions, and environments. Chen and Tang [4], by considering the probability of a road being destroyed as an important element when roads are not stable, solved the emergency logistics path selection problem with multiple demand points and multiple service points based on the combined time expectation. In [5], the time consumed by a vehicle to arrive at an emergency center is assumed to be subject to a Gaussian distribution and supply loading time consumption is subject to an exponential distribution.…”

Section: A Time Managementmentioning

confidence: 99%

E-Net Modeling and Analysis of Emergency Response Processes Constrained by Resources and Uncertain Durations

Liu

Zeng

Duan

et al. 2015

IEEE Trans. Syst. Man Cybern, Syst.

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Time and resource management and optimization are two important challenges for an emergency response process, by which all individuals and groups manage hazards in an effort to avoid or ameliorate the impact of disasters. Compared with a traditional business process, an emergency response process has its own features. To our best knowledge, there is no formal method to model and analyze emergency response processes by taking uncertain activity execution duration, resource quantity, and resource preparation duration into account. This paper presents such a method based on an E-Net that is a Petri net-based formal model for an emergency response process constrained by resources and uncertain durations. According to the number of available resources, execution of an E-Net is classified into the worst, delayed, and best cases. Based on a priority-activity-first strategy and corresponding algorithms, this paper finds the duration to execute each activity for the delayed case. By experiments, we prove that the proposed strategy can ensure shorter execution duration of the whole process than a conventional one. A running case of a chlorine tank explosion is given to validate the proposed method.

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Section: A Time Managementmentioning

confidence: 99%

E-Net Modeling and Analysis of Emergency Response Processes Constrained by Resources and Uncertain Durations

Liu

Zeng

Duan

et al. 2015

IEEE Trans. Syst. Man Cybern, Syst.

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Building Damage Level According to Distance Image Contrast.

Chen¹

2015

Proceedings of the 2015 Conference on Informatization in Education, Management and Business

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Estimation method of building damage level was introduced for the accurate and effective estimation of damage extent and relief goods demand according to long-distance image contrast. In order to obtain completion degree of building edge extracted from longdistance images before and after disaster, the concentration ratio was analyzed with Hough transformation. Based on the maximum posterior probability, estimation method of affected population was designed to accurately estimate victim population, which can be directly reflected by fugitive population.Moreover, on basis of escape route and fugitive population, demand assignment algorithm by backward calculation was designed to improve rescue efficiency.

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Path Selection Algorithms for Emergency Logistics Based Time Expectation

Cited by 2 publications

References 3 publications

E-Net Modeling and Analysis of Emergency Response Processes Constrained by Resources and Uncertain Durations

E-Net Modeling and Analysis of Emergency Response Processes Constrained by Resources and Uncertain Durations

Building Damage Level According to Distance Image Contrast.

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