Towards Zero Accidents: Innovative Safety Strategies in Last Mile Vehicle Engineering

This study presents pioneering safety strategies in last-mile vehicle engineering, focusing on autonomous delivery vehicles (ADV s). It delves into the integration of advanced sensor technologies, predictive algorithms, and vehicle design optimizations aimed at mitigating the inherent risks associated with urban delivery systems. The research encompasses the development of neural network-based models for dynamic risk prediction and the application of Hardware-in-the-Loop (HIL) testing for enhanced safety evaluation. The findings demonstrate significant potential in reducing accidents, contributing to safer urban environments, and paving the way for future advancements in the realm of autonomous vehicle safety. The study emphasizes the importance of a holistic approach to vehicle engineering, where safety is considered at every stage of design and operation, underscoring our commitment to the ambitious goal of achieving ‘zero accidents’ in urban delivery scenarios.