pedestrian behaviour ()


To build and infra-red detector system that can count people as they move around the urban environment. In particular we wish to evaluate measures for the vitality and viability of urban areas.
The PEDFLOW (PEDestrian FLOW) project is concerned with the development of a microscopic model of pedestrian movement in a congested urban environment. Autonomous agent technology is utilised to represent each pedestrian as an agent capable of making its own decisions based upon a part of the...


Sarah Clayton
Research Student
+44 131 455
Jon Kerridge
+44 131 455 2777


Clayton, S., Urquhart, N., Kerridge, J. (2009). Application of CoSMoS Parallel Design Patterns to a Pedestrian Simulation. In: Wyrzykowski, R., Dongarra, J., Karczewski, K., Wasniewski, J. (Eds.) Parallel Processing and Applied Mathematics, 2, () ( ed.). (pp. 505-512). Berlin Heidelberg: . Springer Verlag.

Walczyk, R., Armitage, A., Binnie, D. (2009, June). An Embedded Real-Time Pedestrian Detection System Using an Infrared Camera. Paper presented at IET Irish Systems & Signals Conference, Dublin.

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

Chamberlain, T., Armitage, A., Rutter, M., Binnie, D. (2006). Pedestrian sensing with feature extraction. In: (Ed.) ITS World Congress, , () ( ed.). (pp. ). London: . .

Chamberlain, T., Armitage, A., Binnie, D., Rutter, M. (2006). Working towards identifiable feature extraction from a pedestrian's gait. In: (Ed.) 37th UTSG conference, , () ( ed.). (pp. ). Dublin: . .

Armitage, A., Binnie, D., Chamberlain, T., Rutter, M. (2005). Tracking pedestrians using visible and infrared systems. In: (Ed.) Universities Transport Study Group conference, 37, () (37 ed.). (pp. ). Bristol: . .

Kerridge, J., Chamberlain, T. (2005). Collecting Pedestrian Trajectory Data In Real-time. Proceedings of PED2005, , (), .

Kerridge, J., Chamberlain, T. (2005). Collecting, Processing and Calculating Pedestrian Flow Data in Real-time. In: (Ed.) Transportation Research Board Annual Meeting, 84th Annual Meeting, () (84th Annual Meeting ed.). (pp. ). : . US National Academies of Science.

Binnie, D., Armitage, A. (2004). Pedestrian detection using low-resolution thermal imager versus visual imager. PREP 2004, , (), 156-157.

Chamberlain, T., Armitage, A., Rutter, M., Binnie, D. (2004). Using low-resolution thermal sensors in stereo to measure pedestrian movement. PREP 2004, , (), 251-252.

Kerridge, J., Armitage, A., Binnie, D., Lei, L. (2004). Monitoring the Movement of Pedestrians Using Low-cost Infrared Detectors: Initial Findings. Transportation Research Record, 1878, (), 11-18.

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.

Armitage, A., Binnie, D., Kerridge, J., Lei, L. (2003). Measuring pedestrian trajectories using a pyroelectric differential infrared detector. In: (Ed.) Sensors and their Applications, 12, () ( ed.). (pp. ). Limerick, Ireland: . .

Armitage, A., Binnie, D., Kerridge, J., Lei, L. (2003). Measuring Pedestrian Trajectories with Low Cost Infrared Detectors: Preliminary Results. In: Galea, E. (Ed.) Pedestrian and Evacuation Dynamics 2003, , () ( ed.). (pp. 101-110). Greenwich: . CMS Press London.

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, Serge P., Luding, S., Bovy, Piet H. L., Schreckenberg, M., Wolf, Dietrich E. (Eds.) Traffic and Granular Flow, , () ( ed.). (pp. 383-391). 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.

Willis, A., Kukla, R., Kerridge, J., Hine, 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, , () ( ed.). (pp. 181-186). Berlin Heidelberg: . Springer-Verlag.

Kerridge, J., Hine, J. (2001). Agent based modelling of pedestrian movements:. Environment and Planning B: Planning and Design, 28, (), 327-341.

Kukla, R., Kerridge, J., Willis, A., Hine, J. (2001). PEDFLOW: Development 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.

Kerridge, J., McNair, N. (1999). PEDFLOW - A system for modelling pedestrian movement using occam. In: Cook, B. (Ed.) Architectures, Languages and Techniques for Concurrent Systems, , () ( ed.). (pp. 1-17). : . IOS Press.