Title :
An emergency routing model based on fuzzy road connectivity
Author :
Shi Liuhong ; Yang Bin
Author_Institution :
Logistics Res. Center, Shanghai Maritime Univ., Shanghai, China
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;
Conference_Titel :
Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-8727-1
DOI :
10.1109/CSAE.2011.5953262
