| Blockchain technology as a mechanism for digital railway ticketing JD Preece, JM Easton 2019 IEEE International Conference on Big Data (Big Data), 3599-3606, 2019 | 39 | 2019 |
| A Review of Prospective Applications of Blockchain Technology in the Railway Industry JD Preece, JM Easton University of Birmingham, 2018 | 30 | 2018 |
| Towards encrypting industrial data on public distributed networks JD Preece, JM Easton 2018 IEEE International Conference on Big Data (Big Data), 4540-4544, 2018 | 21 | 2018 |
| Ticket to Ride: An Investigation Into the Use Of Blockchain Technology in the Rail Industry JD Preece University of Birmingham, 2020 | 9 | 2020 |
| A video game-inspired approach for a pedestrian guidance system within a railway station JD Preece, M Samra, RJ Thomas, JM Easton 2021 IEEE International Conference on Big Data (Big Data), 2919-2924, 2021 | 6 | 2021 |
| Towards STUB 2.0: Using graph-based world states in hyperledger Besu to facilitate distributed transport ticketing JD Preece, C Morris, JM Easton 2022 IEEE International Conference on Big Data (Big Data), 3838-3844, 2022 | 3 | 2022 |
| 2019 IEEE International Conference on Big Data (Big Data) JD Preece, JM Easton IEEE, 2019 | 3 | 2019 |
| Leveraging ontochains for distributed public transit ticketing: An investigation with the system for ticketing ubiquity with blockchains JD Preece, CR Morris, JM Easton IET Blockchain, 2024 | 2 | 2024 |
| To Blockchain or Not to Blockchain, These are the Questions: A Structured Analysis of Blockchain Decision Schemes JD Preece, JM Easton Telematics and Informatics Reports 13, 100115, 2024 | 1 | 2024 |
| Sharing is Caring: Redefining the Smart Ticket to Facilitate Technical Innovation Within Smart Ticketing Infrastructures JD Preece, JM Easton World Congress on Railway Research 2022, 2022 | 1 | 2022 |
| Assessing Commuting Sentiments within the University of Birmingham Community Using TextBlob Sentiment Analysis JD Preece, E Shelley International Conference on Transportation Research 2023, 2023 | | 2023 |
| An Analysis of Track Geometry Data in Combination with Supporting Exogenous Sources Using Linear Regression Techniques JD Preece, I Dean, JM Easton Transportation Research Procedia 72, 1201-1207, 2023 | | 2023 |
| Developing a 5G-enabled crowd management and passenger navigation solution for post-COVID-19 multi-modal travel RJ Thomas, JM Easton, JD Preece, M Samra, F Nonyelu World Congress on Railway Research, 2022 | | 2022 |
John M. EastonAssociate Professor, University of BirminghamVerified email at bham.ac.uk
