IMPLEMENTING ADAPTIVE DRIVING SYSTEMS FOR INTELLIGENT VEHICLES BY USING NEURO-FUZZY NETWORKS
infrastructure - vehicle, ridership - commuting, ridership - behaviour
Vehicle navigation, Vehicle handling, Smart cars, Personality, Neuro-fuzzy networks, Motor vehicle handling, Man, Intelligent vehicles, Human beings, Human behavior, Fuzzy controllers, Driving, Behaviour, Behavior, Automated vehicles, Automated vehicle control for ground vehicles, Adaptive systems, Adaptive driving systems, Adaptive control
The application of supervised learning to train an intelligent vehicle with a neuro-fuzzy controller to mimic the driving behavior of a human driver is discussed. An initial fuzzy control system for vehicle driving was set up on the basis of general human driving experiences, and its control rules were modified to fit the driving behavior of an individual driver. This provides an effective mechanism to construct driving control systems with personality for automated intelligent vehicles.
Lin, Y, Wang, F-Y, Mirchandani, P, Wu, L, Wang, Z, Yeo, C, Do, M. (2001). IMPLEMENTING ADAPTIVE DRIVING SYSTEMS FOR INTELLIGENT VEHICLES BY USING NEURO-FUZZY NETWORKS. Transportation Research Record, Vol. 1774, p. 98-105.