Dr Robert Kukla

Member of the Centre for Information and Software Systems.

Principal investigator on:

Co-investigator on: MATSE, MAX, TDWG Core Ontology, TDWG Taxon Concept Transfer Schema

Wigan, M., Kukla, R., Benjamins, M., Grashoff, P. (2008, April). A new data, document and geospatial repository: Knowledge base and project support for a major international railway project. Paper presented at Third International Conference on Open Repositories, Southampton, United Kingdom.

Wigan, M., Kukla, R., Benjamins, M., Grashoff, P. (2007, October). RKB: A Knowledge base to support research documentation, data, gis communications and data for a major rail freight project. Paper presented at European Transport Conference, The Netherlands.

Kukla, R. (2007). A software framework for the microscopic modelling of pedestrian movement (PhD).

Kennedy, J., Gales, R., Kukla, R. (2006). Converting an Existing Taxonomic Data Resource to Employ an Ontology and LSIDs. In: Belbin, L., Rissoné, A., Weitzman, A. (Eds.) Proceedings of TDWG (2006), St Louis, MI., , () (). (pp. ). : .

Kennedy, J., Hyam, R., Kukla, R., Paterson, T. (2006). A Standard Data Model Representation for Taxonomic Information. OMICS: A Journal of Integrative Biology, 10, (2), 220-230.

Kennedy, J., Gales, R., Kukla, R., Hyam, R., Wieczorek, J., Hagedorn, G., Döring, M., Vieglais, D. (2006). Developing a Core Ontology for Taxonomic Data. In: Belbin, L., Rissoné, A., Weitzman, A. (Eds.) Proceedings of TDWG (2006), St Louis, MI, , () (). (pp. ). USA: .

Kennedy, J., Kukla, R., Paterson, T. (2005). Scientific names are ambiguous as identifiers for biological taxa: their context and definition are required for accurate data integration. In: Ludaescher, B., Raschid, L. (Eds.) Data Integration in the Life Sciences, 3615, () (). (pp. 80-95). Berlin Heidelberg: Springer-Verlag.

Willis, A., Kukla, R., Kerridge, J. (2004). Human movement behaviour in urban spaces: Implications for the design and modelling of effective pedestrian environments. Environment and Planning B: Design and Planning, 31, (6), 805-828.

Kerridge, J., Kukla, R., Willis, A., Armitage, A., Binnie, D., Lei, L. (2003). A comparison of Video and Infrared based tracking of pedestrian movements. In: Hoogendoorn, S., Luding, S., Bovy, P., Schreckenberg, M., Wolf, D. (Eds.) Traffic and Granular Flow, , () (). (pp. 383-391). Berlin Heidelberg: Springer-Verlag.

Willis, A., Kukla, R., Kerridge, J. (2002). Laying the foundations: the use of video footage to explore pedestrian dynamics in PEDFLOW. In: Schreckenberg, M., Sharma, S. (Eds.) Pedestrian and Evacuation Dynamics, , () (). (pp. 181-186). Berlin Heidelberg: Springer-Verlag.

Kukla, R., Willis, A., Kerridge, J. (2002). Application of context-mediated behavior to a multi-agent pedestrian flow model (PEDFLOW). Annual Meeting of the Transportation Research Board (TRB), , (82th), 22-222.

Kukla, R., Kerridge, J., Willis, A., Hine, J. (2001). PEDFLOW: Devlopment of an Autonomous Agent Model of Pedestrian Flow. Transportation Research Record, 1774, (), 11-17.

Willis, A., Kukla, R., Kerridge, J. (2000, September). Developing the Behavioural Rules for an Agent-based Model of Pedestrian Movement. Paper presented at 25th European Transport Congress, Cambridge, UK.

Kukla, R., Kerridge, J. (1997). Intelligent storage Devices for scalable information systems. Future Generation Computer Systems, 12, (5), 335-344.

Kukla, R., Kerridge, J. (1996). Intelligent Storage Devices for Scalable Information Management Systems. In: Liddell, H., Colbrook, A., Hertzberger, B., Sloot, P. (Eds.) High-Performance Computing and Networking, 1067, () (). (pp. 683-688). Berlin Heidelberg: Springer-Verlag.

Kerridge, J., Kukla, R. (1996). A Plug in Disk Interface for the W-SQL Data Access Controller. In: O’Neill, B. (Ed.) Parallel Processing Developments, , () (). (pp. 75-88). Amsterdam: IOS Press.

PhD (part-time): A software framework for the microscopic modelling of pedestrian movement

01-OCT-99  -  25-SEP-07

A town planner, faced with the task of designing attractive walking spaces, needs a tool that will allow different designs to be compared in terms of their attractiveness as well as their effectiveness. PEDFLOW is an attempt to create such a tool. It is an agent-based, microscopic model of pedestrian flow where virtual pedestrians navigate a virtual environment. On their way towards a goal the agents, representing pedestrians, interact with features of the environment and with other agents. The microscopic, rule-based actions result in an emergent behaviour that mimics that of real pedestrians.
Pedestrians are subjected to a multitude of influences when walking. The majority of existing models only focus on a single aspect, typically the avoidance of obstructions or other pedestrians. PEDFLOW uses an implementation of context-mediated behaviour to enable the agents to deal with multiple cause-effect relations in a well-defined and flexible yet highly efficient manner. A variety of mobile and immobile entities can be modelled by objects in an object-oriented environment. The model is informed by an empirical study of pedestrian behaviour and the parameters of the agents are derived from measures of observed pedestrian movement.
PEDFLOW’s suitability for pedestrian modelling in the described context is evaluated in both qualitative and quantitative terms. Typical macroscopic movement patterns from the real world such as "platooning" and "walking with a partner" are selected and the corresponding emergent model behaviours investigated. Measures of service (MOS) are defined end extracted from the model for comparison with real world measures. As PEDFLOW was created as an interactive tool to be used in an office environment rather than in a high performance lab, the scalability and performance limitations are explored with regards to the size of the modelled area, the number of modelled pedestrians and the complexity of the interactions between them. It is shown that PEDFLOW can be a useful tool in the urban design process.