An emergency routing model based on fuzzy road connectivity

Author

Shi Liuhong ; Yang Bin

Author_Institution

Logistics Res. Center, Shanghai Maritime Univ., Shanghai, China

Volume

1

fYear

2011

fDate

10-12 June 2011

Firstpage

465

Lastpage

469

Abstract

In this paper we study the path choice problem of material transportation in emergency based on the analysis of fuzzy concept. The effect of fuzzy factors on road is mainly considered to obtain an optimal calculation of path choice. A routing model with random probability for emergency rescue center is proposed with utilization of the theory of uncertain programming with fuzzy probability. The uncertain fuzzy random probability simulation, Bellman-ford algorithm and relaxation technique are used to solve the model. At last an example is given to demonstrate this method.

Keywords

emergency services; fuzzy set theory; fuzzy systems; goods distribution; logistics; probability; road vehicles; transportation; Bellman-ford algorithm; emergency rescue center; emergency routing model; fuzzy factors; fuzzy road connectivity; material transportation; path choice problem; uncertain fuzzy random probability simulation; uncertain programming; Logistics; Materials; Optimization; Roads; Routing; Uncertainty; Vehicles; Emergency needs; Transportation of materials; fuzzy factors; routing;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-8727-1

Type

conf

DOI

10.1109/CSAE.2011.5953262

Filename

5953262