John Nightingale

Prioritising Active Travel through next generation data. – John Chapman & Eliza Moyse – ngenius.ai & Alex Cliff – Norfolk County Council

ngenius.ai are a start-up based in Norwich (at the University of East Anglia/Norwich Research Park) deploying cutting-edge AI which uses existing CCTV infrastructure to provide local authorities and highways authorities meaningful, accurate, real-time data to measure the way that the transport network operates. As well as their 24/7 connected camera…
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Is my signal design reasonable? Using different model outputs to enhance scheme designs. – Adam Greenland & Lucy Beeston – TfL

Since 2016 TfL and London boroughs have, collectively, added 250km of new cycle routes. As we know, designing additional protected facilities for vulnerable users at signalised junctions is often difficult and complex as introducing additional conflicting phases reduces the capacity of junctions for other modes. Last year at JCT, TfL…
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Using Cloud-Based Software, leveraging high fidelity GPS ‘Trajectory’ Data to identify and understand signal performance network wide – Martin Rodgers & Dominic Paulo – INRIX

This paper and presentation highlights how cloud-based software, using GPS trajectory data can be used to discern which locations are operating “normally” and to identify areas of concern to begin troubleshooting for optimal performance in the context of current policy, be those issues with current timing plans, maintenance-based activities, etc.…
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