Prediction of Route Choosing Behavior Based on Genetic Algorithm Approach
Mădălin-Dorin Pop, Octavian Proștean, Gabriela Ioana Prostean · 2018
AI (Artificial Intelligence) became one of the most used concepts in last years. This concept tries to be the foundation of standalone systems that can learn by themselves to adapt to new situations. This adaptation can come only after the system was trained how to behave in several often-encountered situations. The system will be further developed to increase its evolving capacity to deal with new situations related to the learned ones. The purpose of this paper is to show how a GA (Genetic Algorithm), part of AI concept, can be used in traffic route choosing prediction. Our proposed algorithm brings a new approach in fitness function computing, that has a significant role in individuals evaluation. The obtained results prove that our proposal gives benefits in computing the destinations volumes and providing them values with a high level of precision.