Improving the Safety of Motorcycle Users in Crashes at Jakarta, Indonesia

Abstract

Indonesia has one of the largest motorcycle populations globally, with approximately 130 million registered units. This high density is coupled with a significant number of injuries and fatalities from motorcycle crashes, highlighting an urgent need for effective protective measures. This study aims to evaluate the effectiveness of existing and proposed protective technologies in enhancing the safety of motorcycle users in Jakarta, Indonesia, both in preventing accidents and mitigating injury severity during collisions. The research analyzes various Intelligent Transport Systems (ITS) implemented worldwide and assesses several prototypes developed by Indonesian researchers. The efficacy of these technologies, including an IoT-based smart system, Adaptive Cruise Control, and a Motorcycle Child Safety Seat, is examined through data from simulations and test runs. The findings demonstrate that the evaluated technologies are effective in reducing the risk of accidents and minimizing injuries. The IoT-based smart system showed high accuracy in helmet detection (100%), drowsiness detection (87%), and accident detection (90%). The Adaptive Cruise Control prototype exhibited a low percentage error (1.53%) in maintaining safe distances, while the Child Safety Seat design framework provided a structured approach to enhancing child passenger safety. The integration of advanced safety technologies, such as the prototypes developed locally, holds significant potential to improve motorcycle safety in Jakarta. Widespread adoption of these systems can substantially reduce accident rates and injury severity, thereby saving lives and reducing the public health burden associated with motorcycle crashes.