Comparative Study Analysis of ANFIS and ANFIS-GA Models on Flow of Vehicles at Road Intersections

In the last two decades efficient traffic-flow prediction of vehicles has been significant in curbing traffic congestions at freeways and road intersections it is among many advantages applying intelligent transportation systems intersections. However, researchers have not focused on vehicular flow using hybrid algorithms such as adaptive neuro-fuzzy inference optimized by genetic algorithms. this research, we propose models, namely system (ANFIS) algorithm (ANFIS-GA), to model predict signalized South African public system. The data used for research were obtained via up-to-date equipment. Eight hundred fifty datasets ANFIS ANFIS-GA modelling. comprised volume (output), speed vehicles, time (inputs). We 70% training 30% testing. results showed performance (R2) 0.9709 0.8979 testing 0.9790 0.9980. show that more appropriate modelling This adds further our knowledge application