Research impact case studies

Our research doesn't just have an impact in the academic world. These case studies show the impact our research has in the world - from keeping planes safe to helping someone who is blind navigate "the last ten yards" to the door of their destination.

York real-time systems research selected to showcase impact

Research from York into real-time systems for automotive applications has been selected by the UK Computing Research Committee (UKCRC), Council of Professors and Heads of Computing (CPHC) and British Computer Society (BCS) Academy to showcase the impact made by UK academic Computer Science Research within the UK and worldwide.  Read the report

The world's smallest automotive real-time operating system

The world’s smallest automotive real-time operating system (RTOS) was developed based on research at York, and is used by leading automotive manufacturers and suppliers, with more than 1 billion copies deployed. 

Find out more about our RTOS.

Guaranteeing the real-time performance of in-vehicle networks

Schedulability analysis developed by researchers at York guarantees the timing performance of messages transmitted on Controller Area Network (CAN), used by Volvo and many other car manufacturers to improve the reliability of their vehicles.

Find out more about improving the reliability of in-vehicle networks.

How long does your real-time software take to run?

Knowing the longest time a software component takes to execute allows manufacturers in the aerospace and automotive industries to optimise code and add functionality to their systems without the need for expensive hardware upgrades.

Find out more about worse-case execution time.

Helping visually impaired people navigate "the last 10 yards" with a smartphone

Our researchers worked with Spiral Scratch to develop a smartphone app that will take users to the entrance, rather than an approximate location.

Find out more about the smartphone app, Optinav.

Regulating safety critical systems: a new approach to presenting safety arguments

Goal Structuring Notation (GSN) was developed at York as a new way to develop a safety case that can be understood by all key stakeholders in industries ranging from aerospace to nuclear.

Find out more about Goal Structuring Notation.

Finding the needle in a haystack: extracting information from Big Data

Novel methods have been developed at York to recognise and analyse patterns in huge collections of data that are used to detect patterns in brain injury patients and aeroplane engines, saving hours of manual scanning time,.

Find out more about analysing Big Data.