Neural network strategy for driving behaviour and driving cycle classification. (12th November 2014)

• Record Type: Journal Article
• Authors: Vaz, Warren; Landers, Robert G.; Koylu, Umit O.
• Is Part Of: International journal of electric and hybrid vehicles. Volume 6:Number 3(2013)
• Page Start: 255
• Page End: 275
• Publication Date: 2014-11-12
• Subjects: driving behaviour classification -- driving cycle classification -- driving cycles -- electric vehicles -- EVs -- neural networks -- pattern recognition -- supervised training -- aggressive driving -- defensive driving -- highway driving -- urban driving -- accelerator positions -- brake positions; Electric vehicles -- Periodicals; 629.229305
• Languages: English
• ISSNs: 1751-4088

Abstract

The driving behaviour and the driving cycle type affect the range of an electric vehicle. A novel strategy that classifies driving behaviour as aggressive or defensive and driving cycles as highway or urban using accelerator and brake positions is proposed. A method to simulate aggressive and defensive driving behaviour using neural networks was developed and implemented. The neural network successfully differentiated between aggressive and defensive driving behaviour and highway and urban driving cycles in all 11 training cases. Furthermore, the neural network was able to properly classify the driving behaviour and the driving cycle type for four new driving cycles as well. The proposed method of classifying driving behaviour and driving cycles overcomes the limitations posed by identifying driving cycles. It provides real–time information about the driving behaviour and the driving cycle and is not limited to any particular driving cycle or group or driving cycles.