Utilising Human Crash Tolerance to Design an Interim and Ultimate Safe System for Road Safety

Abstract

Many jurisdictions globally have adopted a zero road trauma target by 2050 and an interim target of a 50% reduction by 2030. The objective of this study was to investigate what the road system will need to look like in order to achieve these respective targets. Utilising human tolerance to injury as the key design factor, this study defined the combination of vehicle, infrastructure, and travel speed requirements to manage crash energy in order to: (1) prevent all fatalities and serious injuries by 2050 in an Ultimate Safe System scenario; and (2) significantly reduce fatalities and severe injuries by 2030 in an Interim Safe System scenario. Victoria, Australia and its Movement and Place (M&P) framework was employed as a case study. With the vehicle and infrastructure countermeasures currently available coupled with appropriate travel speeds it is possible to construct an Ultimate Safe System that can manage crash forces to achieve zero trauma and an Interim Safe System that can significantly reduce the most severe injuries in Victoria. This study has demonstrated a potential pathway from the current situation to 2030 and then 2050 that can achieve safety targets while meeting the core objectives of the transport system.

Harnessing sensor fusion and AI for accurate accident detection and classification in the safety of smart cities

“…Furthermore, most devices designed to identify and report RTA are costly and only available in luxury automobiles. The existing systems have a limitation in distinguishing between different types of accidents, such as collisions, rollovers, or fall-off events [7]. Simply stating the accident incident hinders emergency rescue professionals from offering the victims appropriate rescue assistance and medical help.…”