Design and Implementation of an Instrumented Motorcycle for a Naturalistic Driving Study in Indonesia

Indonesia, a Southeast Asian country with a significant number of motorcycles, faces a high rate of motorcycle accidents, predominantly attributed to rider behavior. Various methods are available to study driver behavior, with the Naturalistic Driving Study (NDS) being one of the most advanced approaches. This study employed a vehicle-based NDS method, utilizing an instrumented motorcycle equipped with sensors and cameras to capture detailed riding activities. These sensors recorded data such as speed, throttle position, brake and horn activation, turn signal usage, and motorcycle tilt. These data provided insights into rider behavior in response to surrounding traffic conditions. The purpose of this research was to transform an electric motorcycle into an instrumented motorcycle and designing experiments to collect relevant data. This innovative approach enabled detailed observation and analysis of motorcyclist behavior in Indonesia, contributing valuable insights for developing strategies to reduce motorcycle accidents.