At the Centre for Automotive Safety Research (CASR) we seek to understand the many factors contributing to road crashes, with the ultimate goal of eliminating harm from our road system.
CASR is internationally recognised as a leading independent research organisation in road safety, and has been at the forefront of this field for over 30 years. Our experienced, multidisciplinary team conducts high-quality research with significant real-world impact, enabling informed decision-making in the development and implementation of road safety countermeasures and policies.
At CASR we are constantly developing our advanced vehicle testing capability. With a current focus on pedestrian crash testing and advanced driver-assistance system (ADAS) assessment, from mid-2019 we will also be able to test ADASs against EU/ANCAP protocols. CASR has much to contribute to the understanding of emerging automotive technologies, including autonomous vehicles.
Our in-depth crash investigation program has been a core activity since the 1970s. CASR investigators attend road crashes in metropolitan and rural areas to identify what infrastructure, vehicle or human behaviour-based countermeasures may have prevented the crash, or reduced its severity. We work collaboratively with the emergency services on-site while maintaining our independent scientific investigations.
Freight trains already passing through level crossings in rural areas at night can be difficult for approaching motorists to see. Crashes can occur if the crossing has ‘passive’ controls (Give way/Stop signs) and motorists fail to stop. Retroreflective screens on the far side of the crossing to moto...
Objective: This study evaluated the effectiveness and potential safety benefits of a Rural Junction Active Warning System (RJAWS), which uses variable speed limit signs (VSLSs) to temporarily impose a reduced speed limit along the major road when another vehicle is approaching on the minor road or t...
High lights: Cyclist-vehicle passing distance data collected from 23 cyclists over a 4-week period in a naturalistic study. • Over 16,000 passing events detected. • All events associated with speed limit, presence of bike lane, and road type classification. •Regression analyses explored fa...