Daniel Hambleton is a mathematician working in the AEC industry: a role he hopes will continue to push the boundaries of current design practice. In 2009 he helped start the Studio for Progressive Modelling (SPM), a service provided by Halcrow Yolles that combines expertise in structural engineering, mathematics, and computation, to solve complex problems in architecture.
Since the official launch of the SPM, Daniel has worked on projects both locally and abroad, collaborated with established and emerging architects, organized an interdisciplinary discussion series, lectured at the University of Toronto, presented at international conferences, written technical papers, and generally been incorrigibly interested in the interaction between mathematics, engineering, and architecture.
Contact: daniel*dot*hambleton*at*halcrowyolles*dot*com
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Daniel, I’ve not done work with crowd flow simulations so I don’t know how your approach compares with something like SMART Move. Is your approach more efficient? Less computationally intense? More accurate? It looks really interesting and would be very helpful in a neighbourhood or streetscape application on the planning side of things as well.
Hi Milton,
We’re in the process of testing our method against some existing ones. In general, our approach was to build the agent AI up from basic principles of Ecological Psychology. This way, we know there is solid link between the navigation algorithms and human behaviour. In particular, there is no preprocessing of the world or building geometry – just drop the agents in.
Daniel
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