Biobjective Emergency Logistics Scheduling Model Based on Uncertain Traffic Conditions
Joint Authors
Sun, Youqiang
Ren, Yeqing
Cai, Xingjuan
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-01-25
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Emergency logistics scheduling appears more and more important in modern society because of frequent occurrence of unpredictable disasters.
Most of the existing studies consider a certain emergency logistics scheduling model, and most of them are based on an ideal scenario.
Considering the uncertain traffic condition and the real road condition, a biobjective emergency logistics scheduling model is proposed, which includes two objectives: transportation time and transportation cost.
The uncertainty of the proposed model is reflected in two aspects: the occurrence time of emergencies and the traffic volume predicted by the cloud model.
The numerical characteristics of traffic information are abstracted from the spatial-temporal trajectory data by the reverse cloud model, and the inference procedure of the one-dimension cloud model further predicts the uncertain traffic volume using the numerical characteristics.
In addition, the crossover and mutation operators of multiobjective evolutionary algorithms are modified to solve the model.
The experimental results show that the inference procedure of one-dimension cloud model can accurately predict the traffic volume at the departure time; and the proposed model is more reasonable than the existing scheduling models; at the same time, the improved NSGA-II can also provide superior schemes in different departure times and traffic conditions for decision makers.
American Psychological Association (APA)
Sun, Youqiang& Ren, Yeqing& Cai, Xingjuan. 2020. Biobjective Emergency Logistics Scheduling Model Based on Uncertain Traffic Conditions. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1194152
Modern Language Association (MLA)
Sun, Youqiang…[et al.]. Biobjective Emergency Logistics Scheduling Model Based on Uncertain Traffic Conditions. Mathematical Problems in Engineering No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1194152
American Medical Association (AMA)
Sun, Youqiang& Ren, Yeqing& Cai, Xingjuan. Biobjective Emergency Logistics Scheduling Model Based on Uncertain Traffic Conditions. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1194152
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1194152