文章基本信息

标题：Accident Emergency Response And Routing Software (AERARS) using Genetic Algorithm
本地全文：下载
作者：Naveen Ramachandran ; G.Devi
期刊名称：International Journal on Computer Science and Engineering
印刷版ISSN：2229-5631
电子版ISSN：0975-3397
出版年度：2011
卷号：3
期号：7
页码：2835-2845
出版社：Engg Journals Publications
摘要：AERARS is a response and routing software for accident emergency requirement. A method has been proposed in this project for using a genetic algorithm to find the shortest route between a source and adestination. It make use of genetic algorithms ability to search the opt solution from the population helping to solve spatially addressed problem. The numbers of accident spots are plotted in ArcGISenvironment and ten major accident spots are identified. The software package is designed with closest facility estimation and shortest route generation along with other basic software facilities in Visual Basic environment. Genetic algorithm provided a great optimality to the solutions. The closest facility tool helps to estimate the nearest hospital, ambulance, police station and fire station. The shortest route estimation tool generates shortest path between a locations to the hospital or ambulance spot. The various risk zonesare assessed and more safety measures can be taken to reduce the frequency of accident. The software efficiency can be further increased by incorporating GPS and satellite technology.
关键词：Genetic Algorithm; Mutation; Crossover; Fitness factor; Dijkstra�s algorithm.