Title :
Making applications more intelligent: A case study of optimizing route selection for emergency vehicles
Author :
Sandi Pohorec;Mateja Verlic;Milan Zorman
Author_Institution :
Laboratory for system design, Faculty of electrical engineering and computer science, University of Maribor, Slovenia
Abstract :
We present the results of a data mining research on the use of GPS positions and speed of travel of vehicles in urban areas to determine optimal travel routes for emergency vehicles. A new approach using predictive programming is presented. The approach focuses on using data mining of existing data as the key factor in the application logic where various decisions are to be made. The main appeal of such an approach is that the application logic evolves over time according to the application data. As the data changes the decisions soon follow. This gives the impression of intelligent behavior of the application.
Keywords :
"Intelligent vehicles","Global Positioning System","Data mining","Mobile handsets","Poles and towers","Logic programming","Satellite navigation systems","Roads","Velocity measurement","Earth"
Conference_Titel :
Computer-Based Medical Systems, 2009. CBMS 2009. 22nd IEEE International Symposium on
Print_ISBN :
978-1-4244-4879-1
DOI :
10.1109/CBMS.2009.5255334