Pedestrian Dynamic Behaviour

To maximize each retail sales, we developed a simulation of pedestrian behaviour which incorporated RNN framework with long-standing random walk.

Press.

 
press_02.jpg

from ML Scientist.

The author, Hao Zheng is a Ph.D. candidate at the University of Pennsylvania. He is a programmer and design researcher, specializing in machine learning, robotic technology, mixed reality, and generative design.

 
press_03.jpg

on Keio archive.

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design

  • Computer Vision and Pattern Recognition

  • Software

 

Our full paper is available on CumInCAD which is a Cumulative Index about publications in Computer Aided Architectural Design Research supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD, and CAAD futures.

Visit the Site →

 

Agent Simulation
Isovist
RNN

Next
Next

02-2. Study on accommodating association rules and calculate convergence.