Gideon Daniel Philipp Alfred Aschwanden
Gideon Daniel Philipp Alfred Aschwanden
University of Melbourne
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Cited by
Cited by
City Induction: a model for formulating, generating, and evaluating urban designs
JP Duarte, JN Beirão, N Montenegro, J Gil
Digital Urban Modeling and Simulation, 73-98, 2012
City Induction: formulating, generating, and evaluating urban plans
JP Duarte, JN Beirão, N Montenegro, J Gil
Digital Urban Modelling and Simulation. Communications in Computer and …, 2011
Limits of space syntax for urban design: Axiality, scale and sinuosity
E Pafka, K Dovey, GDPA Aschwanden
Environment and Planning B: Urban Analytics and City Science 47 (3), 508-522, 2020
Real-time monitoring of driver drowsiness on mobile platforms using 3D neural networks
JS Wijnands, J Thompson, KA Nice, GDPA Aschwanden, M Stevenson
Neural Computing and Applications 32, 9731-9743, 2020
Identifying behavioural change among drivers using Long Short-Term Memory recurrent neural networks
JS Wijnands, J Thompson, GDPA Aschwanden, M Stevenson
Transportation research part F: traffic psychology and behaviour 53, 34-49, 2018
A global analysis of urban design types and road transport injury: an image processing study
J Thompson, M Stevenson, JS Wijnands, KA Nice, GDPA Aschwanden, ...
The Lancet Planetary Health 4 (1), e32-e42, 2020
Empiric design evaluation in urban planning
GDPA Aschwanden, S Haegler, F Bosché, L Van Gool, G Schmitt
Automation in construction 20 (3), 299-310, 2011
The Thermoheliodome–“Air conditioning” without conditioning the air, using radiant cooling and indirect evaporation
F Meggers, H Guo, E Teitelbaum, G Aschwanden, J Read, N Houchois, ...
Energy and Buildings 157, 11-19, 2017
Agent based evaluation of dynamic city models: A combination of human decision processes and an emission model for transportation based on acceleration and instantaneous speed
GDPA Aschwanden, T Wullschleger, H Müller, G Schmitt
Automation in Construction 22, 81-89, 2012
Estimating the potential risks of sea level rise for public and private property ownership, occupation and management
G Warren-Myers, G Aschwanden, F Fuerst, A Krause
Risks 6 (2), 37, 2018
Crowd simulation for urban planning
G Aschwanden, J Halatsch, G Schmitt
Architecture in Computro–26th eCAADe Conference Proceedings, 493-500, 2008
Urban cooling primary energy reduction potential: System losses caused by microclimates
F Meggers, G Aschwanden, E Teitelbaum, H Guo, L Salazar, ...
Sustainable cities and society 27, 315-323, 2016
Learning to walk: Modeling transportation mode choice distribution through neural networks
GDPA Aschwanden, JS Wijnands, J Thompson, KA Nice, H Zhao, ...
Environment and Planning B: Urban Analytics and City Science 48 (1), 186-199, 2021
Digital urban modeling and simulation
SM Arisona, G Aschwanden, J Halatsch, P Wonka
Springer, 2012
Evaluation of 3D city models using automatic placed urban agents
G Aschwanden, S Haegler, J Halatsch, R Jeker, G Schmitt, L Van Gool
9th International Conference on Construction Applications of Virtual Reality …, 2009
Sky pixel detection in outdoor imagery using an adaptive algorithm and machine learning
KA Nice, JS Wijnands, A Middel, J Wang, Y Qiu, N Zhao, J Thompson, ...
Urban Climate 31, 100572, 2020
Finding candidate locations for aerosol pollution monitoring at street level using a data-driven methodology
V Moosavi, G Aschwanden, E Velasco
Atmospheric Measurement Techniques 8 (9), 3563-3575, 2015
Health and Place: an analysis of the built environment’s impact on walking behavior and health
GDPA Aschwanden
ETH Zurich, 2014
Unsupervised deep learning to explore streetscape factors associated with urban cyclist safety
H Zhao, JS Wijnands, KA Nice, J Thompson, GDPA Aschwanden, ...
Smart transportation systems 2019, 155-164, 2019
Agent-based social pedestrian simulation for the validation of urban planning recommendations
GDP Aschwanden
SIGraDi 2012: Proceedings of the 16th Iberoamerican Congress of Digital …, 2012
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