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Welcome to Durham Research Online (DRO)

Durham Research Online (DRO) is the University’s Open Access repository for publications. The primary purpose of DRO is to provide open access to publications authored by staff and students affiliated with Durham University.

See our Policies page for further information.



Latest Additions

The Advantages and Disadvantages of Important Datasets in the Field of Comparative Employment Relations (2024)
Book Chapter
Brandl, B. (2024). The Advantages and Disadvantages of Important Datasets in the Field of Comparative Employment Relations. In J. Parker, N. Donnelly, S. Ressia, & M. Gavin (Eds.), Field Guide to Researching Employment and Industrial Relations (161-174). Edward Elgar Publishing. https://doi.org/10.4337/9781035313891

The availability of data with which to perform statistical analyses has always been the Achilles’ heel of empirical research in the field of comparative employment relations (ER). While data availability is challenging for almost all country comparat... Read More about The Advantages and Disadvantages of Important Datasets in the Field of Comparative Employment Relations.

International Round-Robin Test of Critical Current of Superconducting Cable Sample (2024)
Journal Article
Matsushita, T., Kiuchi, M., Masuda, T., Mukoyama, S., Funaki, K., Cho, J., Lu, J., Raine, M. J., Quéval, L., Trillaud, F., Zhang, G., Song, M., Zheng, J., Chen, Z., & Li, J. (2024). International Round-Robin Test of Critical Current of Superconducting Cable Sample. IEEE Transactions on Applied Superconductivity, 34(7), 1-6. https://doi.org/10.1109/tasc.2024.3438251

Ten institutes from six countries participated in an international round-robin test to evaluate the critical current of a superconducting power cable made of Bi-2223 tapes. The cable design featured a two-layer inner core conductor and a single-layer... Read More about International Round-Robin Test of Critical Current of Superconducting Cable Sample.

Fast Collision-Free Multi-Vehicle Lane Change Motion Planning and Control Framework in Uncertain Environments (2024)
Journal Article
Liu, T., Chai, R., Chai, S., Arvin, F., Zhang, J., & Lennox, B. (2024). Fast Collision-Free Multi-Vehicle Lane Change Motion Planning and Control Framework in Uncertain Environments. IEEE Transactions on Industrial Electronics, 71(12), 16602-16613. https://doi.org/10.1109/tie.2024.3398674

In this article, we focus on the design, test and validation of a hierarchical control framework capable of optimizing lane change trajectories and steering the motion of multiple automated guided vehicles (AGVs) in an uncertain environment. In the u... Read More about Fast Collision-Free Multi-Vehicle Lane Change Motion Planning and Control Framework in Uncertain Environments.