Staff profile

• Transport Systems, Railway Systems
• Modelling and Simulation, Data Analysis
• Energy Efficiency, Operations and Optimisation

Chapter in book

• Steele, H., & Roberts, C. (2022). Towards a sustainable digital railway. In S. Blainey, & J. Preston (Eds.), Sustainable Railway Engineering and Operations (Transport and Sustainability) (239-263). https://doi.org/10.1108/S2044-994120220000014014

Conference Paper

• Hoodbhoy, N., Nicholson, G., Steele, H., Sturm, I., & Sohlke, A. (2025, April). Obtaining a fit-for-purpose train planning process for a sustainable railway: Perspectives from Great Britain and Germany. Paper presented at RailDresden2025, Dresden, Germany
• Steele, H., Blumenfeld, M., & Plummer, P. (2024, September). Analyses of finance trends for transport infrastructure in LICs and LMICs against future climate targets. Presented at European Transport Conference 2024, Antwerp
• Hamid, H. A., Nicholson, G. L., Douglas, H., Zhao, N., & Roberts, C. (2016, August). Investigation into train positioning systems for saving energy with optimised train trajectories. Presented at 2016 IEEE International Conference on Intelligent Rail Transportation, ICIRT 2016, Birmingham
• Douglas, H., Schmid, F., Roberts, C., & Hillmansen, S. (2016, August). Evaluation of Permanent Magnet Motor energy saving technology for different types of railways. Presented at 2016 IEEE International Conference on Intelligent Rail Transportation, ICIRT 2016, Birmingham
• Douglas, H., Roberts, C., & Hillmansen, S. (2016, May). Optimising energy saving in metro systems through characteristic evaluation. Presented at International Conference on Railway Engineering (ICRE 2016), Brussels

Journal Article

• Steele, H., Blumenfeld, M., & Plummer, P. (2024). Determining future high speed rail review topics through bibliometric analysis. High-speed Railway, 2(1), 17-29. https://doi.org/10.1016/j.hspr.2024.01.005
• Peinado Gonzalo, A., Horridge, R., Steele, H., Stewart, E., & Entezami, M. (2022). Review of Data Analytics for Condition Monitoring of Railway Track Geometry. IEEE Transactions on Intelligent Transportation Systems, 23(12), 22737-22754. https://doi.org/10.1109/TITS.2022.3214121
• Steele, H., & Jack, A. (2022). Editorial for the journal of rail and rapid transit high speed rail: Education interchange conference special edition. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 236(2), 137-138. https://doi.org/10.1177/09544097211065864
• Steele, H., Noda, S., Yamamoto, S., & Korenaga, M. (2020). Improved epicentral distance estimations for railway earthquake early warning. Quarterly Report of RTRI, 61(3), 222-227. https://doi.org/10.2219/rtriqr.61.3_222
• Steele, H., Roberts, C., & Hillmansen, S. (2019). Railway smart grids: Drivers, benefits and challenges. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 233(5), 526-536. https://doi.org/10.1177/0954409718800523
• Douglas, H., Weston, P., Kirkwood, D., Hillmansen, S., & Roberts, C. (2017). Method for validating the train motion equations used for passenger rail vehicle simulation. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 231(4), 455-469. https://doi.org/10.1177/0954409716631784
• Douglas, H., Roberts, C., & Hillmansen, S. (2016). Method to evaluate solutions for complex systems: Rail energy. Transport, 169(5), 283-297. https://doi.org/10.1680/jtran.16.00017
• Douglas, H., Roberts, C., Hillmansen, S., & Schmid, F. (2015). An assessment of available measures to reduce traction energy use in railway networks. Energy Conversion and Management, 106, 1149-1165. https://doi.org/10.1016/j.enconman.2015.10.053