Driving Performance Indicators of Electric Bus Driving Technique: Naturalistic Driving Data Multicriterial Analysis

The issue of electric energy saving in public transport is becoming the key area of interest. By improving of driving techniques and the implementation of eco-driving, it is possible to save electric energy. Systems that help to decrease energy consumption and to reduce fuel emissions are becoming popular in vehicles powered by diesel engines. However, these methods have not yet gained popularity in electric vehicles. Therefore, determining the impact of individual parameters on energy consumption is a very important task. This paper presents a novel method of analysis and optimization of electric bus driving parameters based on measurements and the MCDA method. I present data analysis of vehicle data logger recordings using the most important PCA extracted factors. The influence of several factors was estimated.