Paper Title
DEVELOPMENT OF BENGALURU CITY DRIVING CYCLE FOR THREE WHEELED ELECTRIC PERSONAL MOBILITY VEHICLES

Abstract
This research paper presents the systematic development of a driving cycle tailored for three wheeled personal mobility vehicles (PMVs). Existing standardized driving cycles that are developed primarily for conventional vehicles, lack the accuracy in assessing the energy consumption and performance of PMVs. With the increasing popularity of electric and hybrid PMVs, there is a growing need for standardized driving cycles that accurately reflect the unique operating conditions of these vehicles. The proposed driving cycle aims to address this gap by taking into consideration the specific characteristics and usage pat-terns of PMVs, ensuring a more realistic representation of their energy consumption and performance. Driving data from each day of the week was used to develop the driving cycle based on micro-trip clustering method. The methodology involves data collection using VBOX 3i, which is the industry standard data logger for automotive testing and validation, statistical analysis, and using K-means clustering technique to create a comprehensive and representative driving cycle that can be utilized for testing and benchmarking PMVs. Keywords - Driving cycle, Electric vehicles, K-means clustering, Personal mobility vehicles, VBOX data logger