The Australian naturalistic driving study: innovation in road safety research and policy. A revolutionary new approach, the naturalistic driving study, will investigate what people actually do when they drive, in normal and safety-critical situations. It will provide Australia with answers to some intractable, high priority, road safety problems that cannot be answered using current methods, thereby saving hundreds of lives.
Predictive Analytics and Real-time Traffic Control for Urban Corridors. This project aims to develop predictive data analytics and real-time traffic control and safety models for multimodal management of urban corridors, serving two salient objectives: (1) optimising person-throughput of multimodal traffic; while (2) minimising safety risks for all modes. The outcome will be an automated, sensor-based platform to monitor traffic flows from all modes and make proactive and coordinated control dec ....Predictive Analytics and Real-time Traffic Control for Urban Corridors. This project aims to develop predictive data analytics and real-time traffic control and safety models for multimodal management of urban corridors, serving two salient objectives: (1) optimising person-throughput of multimodal traffic; while (2) minimising safety risks for all modes. The outcome will be an automated, sensor-based platform to monitor traffic flows from all modes and make proactive and coordinated control decisions in real-time. The expected benefits are profound; the developed algorithms and platform will significantly reduce traffic congestion, travel delays and safety risks for all modes of transport, especially for vulnerable road users (e.g. pedestrians and cyclists).Read moreRead less
A safety-preserving ecosystem for autonomous driving. In this project, Macquarie University will collaborate with UTS and SilverQuest to develop an innovative safety-preserving ecosystem for autonomous driving. This system will not only be adopted by SilverQuest’s customers (automotive companies) to secure their latest autonomous driving models, but also be commercialised as a toolset that can be plugged into existing autonomous vehicles to detect and prevent malicious attacks on autonomous driv ....A safety-preserving ecosystem for autonomous driving. In this project, Macquarie University will collaborate with UTS and SilverQuest to develop an innovative safety-preserving ecosystem for autonomous driving. This system will not only be adopted by SilverQuest’s customers (automotive companies) to secure their latest autonomous driving models, but also be commercialised as a toolset that can be plugged into existing autonomous vehicles to detect and prevent malicious attacks on autonomous driving models. The project will lead to two innovations: in theory design an attack detection and prevention ecosystem for autonomous driving and in application implement a safety analysis toolset for industry-scale autonomous systems.Read moreRead less
Dynamic Rollover Occupant Protection (DROP): evaluation and regulation. This projects seeks to establish which occupant crashworthiness attributes a vehicle must possess to prevent injury in a rollover crash. The results will assist regulators, industry and consumer groups understand which critical factors need to be considered to develop rollover crashworthiness regulations, consumer tests and vehicle purchase policy.
Effects of feedback and incentive-based insurance on driving behaviours. This project aims to examine the extent to which direct-feedback and incentive-based insurance modify a drivers’ behaviour. The project plans to apply in-vehicle telematics and to link information obtained from the technology directly to personalised safety messaging. The project then plans to assess the impact of this by calculating individual personal injury and the potential reduction to property damage insurance premium ....Effects of feedback and incentive-based insurance on driving behaviours. This project aims to examine the extent to which direct-feedback and incentive-based insurance modify a drivers’ behaviour. The project plans to apply in-vehicle telematics and to link information obtained from the technology directly to personalised safety messaging. The project then plans to assess the impact of this by calculating individual personal injury and the potential reduction to property damage insurance premiums. The study has the potential to profoundly influence not only the insurance industry by reducing individual risk and insurance scheme liability, but also deliver reductions in road trauma among the target population namely, young drivers.Read moreRead less