Recent publications
Article
Fu, Q, Easton, J, Burrow, M & Sweeney, J 2023, 'The Development of an Integrated Computing Platform for Measuring, Predicting and Analyzing Profile-specific Fixity of Railway Tracks', Transportation Research Record.
Alzahrani, R, Herko, S & Easton, J 2021, 'Blockchain-hosted data access agreements for remote condition monitoring in rail', Journal of the British Blockchain Association, vol. 4, no. 2, 3. https://doi.org/10.31585/jbba-4-2-(3)2021
Ikpobe, O & Easton, J 2021, 'Can blockchain take smartphones out of contact tracing?', Journal of the British Blockchain Association, vol. 5, no. 1, 30993. https://doi.org/10.31585/jbba-5-1-(1)2022
Conference contribution
Easton, J 2023, Digitalization and the Transport Industry: Are we Ready? in 2022 IEEE International Conference on Big Data (Big Data). IEEE International Conference on Big Data, IEEE, pp. 3814-3820, 2022 IEEE International Conference on Big Data, Osaka, Japan, 17/12/22. https://doi.org/10.1109/BigData55660.2022.10020210
Preece, J & Easton, J 2023, Sharing is caring: redefining the smart ticket to facilitate technical innovation within smart ticketing infrastructures. in World Congress on Railway Research. World Congress on Railway Research 2022, Birmingham, United Kingdom, 6/06/22.
Preece, J, Morris, C & Easton, J 2023, Towards STUB 2.0: Using Graph-Based World States in Hyperledger Besu to Facilitate Distributed Transport Ticketing. in 2022 IEEE International Conference on Big Data (Big Data). IEEE International Conference on Big Data, IEEE, pp. 3838-3844, 2022 IEEE International Conference on Big Data (Big Data), Osaka, Japan, 17/12/22. https://doi.org/10.1109/BigData55660.2022.10020309
Preece, J, Samra, M, Thomas, RJ & Easton, J 2022, A video game-inspired approach for a pedestrian guidance system within a railway station. in Y Chen, H Ludwig, Y Tu, U Fayyad, X Zhu, X Hu, S Byna, X Liu, J Zhang, S Pan, V Papalexakis, J Wang, A Cuzzocrea & C Ordonez (eds), 2021 IEEE International Conference on Big Data (Big Data)., 9671420, IEEE International Conference on Big Data, IEEE, pp. 2919-2924, 2021 IEEE International Conference on Big Data (Big Data), 15/12/21. https://doi.org/10.1109/BigData52589.2021.9671420
Thomas, RJ, Easton, J, Preece, J, Samra, M & Nonyelu, F 2022, Developing a 5G-enabled crowd management and passenger navigation solution for post-COVID-19 multi-modal travel. in World Congress on Railway Research. World Congress on Railway Research 2022, Birmingham, United Kingdom, 6/06/22.
Alzahrani, R, Herko, S & Easton, J 2021, Blockchain application in remote condition monitoring. in X Wu, C Jermaine, L Xiong, XT Hu, O Kotevska, S Lu, W Xu, S Aluru, C Zhai, E Al-Masri, Z Chen & J Saltz (eds), 2020 IEEE International Conference on Big Data (Big Data)., 9377895, IEEE International Conference on Big Data, pp. 2385-2394, 2020 IEEE International Conference on Big Data (Big Data), 10/12/20. https://doi.org/10.1109/BigData50022.2020.9377895
Preece, J & Easton, J 2020, Blockchain technology as a mechanism for digital railway ticketing. in 2019 IEEE International Conference on Big Data (Big Data)., 9006293, IEEE Xplore, pp. 3599-3606, 2019 IEEE International Conference on Big Data (Big Data), Los Angeles, California, United States, 9/12/19. https://doi.org/10.1109/BigData47090.2019.9006293
Armstrong, J, Rempelos, G, Wei, J, Preston, J, Blainey, S, Easton, J & Roberts, C 2020, DEVELOPING A GENERALISED ASSESSMENT FRAMEWORK FOR RAILWAY INTERVENTIONS. in G Passerini, JM Mera & R Takagi (eds), Computers in Railways XVII: Proceedings of the 17th International Conference on Railway Engineering Design and Operation (COMPRAIL 2020). WIT Transactions on the Built Environment, vol. 199, WIT Press, pp. 127-138. https://doi.org/10.2495/CR200121
Jaroszweski, D, Fu, Q & Easton, J 2019, A data model for heat-related rail buckling: implications for operations, maintenance and long-term adaptation. in Proceedings of the 12th World Congress on Railway Research. World Congress on Railway Research, Tokyo, Japan, 28/10/19.
Preece, J & Easton, J 2019, Towards encrypting industrial data on public distributed networks. in 2018 IEEE International Conference on Big Data (Big Data)., 8622246, IEEE Press / Wiley, pp. 4540-4544, 2018 IEEE International Conference on Big Data (Big Data), Seattle, Washington, United States, 10/12/18. https://doi.org/10.1109/BigData.2018.8622246
Fu, Q, Jaroszweski, D & Easton, J 2018, A prototype model for understanding heat-related rail incidents: a case study on the Anglia area in Great Britain. in Proceedings of the 8th International Conference on Railway Engineering (ICRE 2018). Institution of Engineering and Technology, 8th International Conference on Railway Engineering (ICRE 2018), London, United Kingdom, 16/05/18. https://doi.org/10.1049/cp.2018.0071
Paper
Fu, Q & Easton, J 2018, 'A data model for prediction of weather-related rail incidents: a case-study example of wind-related incidents on the rail network in Great Britain', Paper presented at 50th Annual Conference of the Universities’ Transport Study Group, London, United Kingdom, 3/01/18 - 5/01/18.
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