AI in transportation: DigiHaul's vision for decarbonizing the UK's road network

This case study is published under The Turing Way Practitioners Hub Cohort 1 - case study series. The Practitioners Hub is The Turing Way project that works with experts from partnering organisations to promote data science best practices. In 2023, The Turing Way team partnered with five organisations in the UK including DigiHaul.

This work is supported by Innovate UK BridgeAI. The Practitioners Hub has also received funding and support from the Ecosystem Leadership Award under the EPSRC Grant EP/X03870X/1 and The Alan Turing Institute.

We thank Dr Wenjia Tang, Head of Data at DigiHaul and an Expert in Residence for the first cohort of The Turing Way Practitioners Hub, for facilitating the development of this case study. 

The inaugural cohort of The Turing Way Practitioners Hub has been designed and led by Dr Malvika Sharan. The Research Project Manager is Alexandra Araujo Alvarez. Stuart Gillespie is the technical writer for this case study, and others in the series. Stuart and Alexandra also served as The Turing Way liaisons to the DigiHaul contributors and the writing team. Cami Rincón, previous Research Applications Officer at the Turing Institute, contributed to the development of the Case Study Framework in this project.

Led by Dr. Kirstie Whitaker, Programme Director of the Tools, Practices, and Systems research program, The Turing Way was launched in 2019. The Turing Way Practitioners Hub, established in 2023, aims to accelerate the adoption of best practices. Through a six-month cohort-based program, the Hub facilitates knowledge sharing, skill exchange, case study co-creation, and the adoption of open science practices. It also fosters a network of 'Experts in Residence' across partnering organisations.

For any comments, questions or collaboration with The Turing Way, please email: turingway@turing.ac.uk.