Accident Emergency Response And Routing Software (AERARS) using Genetic Algorithm
Journal Title: International Journal on Computer Science and Engineering - Year 2011, Vol 3, Issue 7
Abstract
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 a destination. 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 ArcGIS environment 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 zones are 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.
Authors and Affiliations
Naveen Ramachandran, , G. Devi,
Keywords
Related Articles
- EP ID EP97418
- DOI -
- Views 151
- Downloads 0
MEASURING THE QUALITY OF OBJECT ORIENTED SOFTWARE MODULARIZATION DEFINING METRICS AND ALGORITHM
We proposed a System to measure the quality of modularization of object-oriented software system. Our work is proposed in three Parts as follows: MODULE 1: DEFINING METRICS FOR OBJECT ORIENTED SOFTWARE AND ALGORITHM M...
An Algorithm for Better Decision Tree
The present paper aims at constructing the decision tree for a given database which adopts an improved ID3 decision tree algorithm to implement data mining in order to predict the output. The database is generated using...
Fractals Based Clustering for CBIR
Fractal based CBIR is based on the self similarity fundamentals of fractals. Mathematical and natural fractals are the shapes whose roughness and fragmentation neither tend to vanish, nor fluctuate, but remain essentiall...
Classification of Breast cancer by comparing Back propagation training algorithms
Breast cancer diagnosis has been approached by various machine learning techniques for many years. This paper presents a study on classification of Breast cancer using Feed Forward Artificial Neural Networks. Back propag...
ENABLING EXPERT SYSTEMS USING DISTRIBUTED INFORMATION
The algorithms method to the World Wide Web is defined not only by the investigation of the look aside buffer, but also by the compelling need for rasterization. In fact, few statisticians would disagree with the investi...