TY - GEN
T1 - Pedestrian dynamic behaviour modeling
AU - Karoji, Gen
AU - Hotta, Kensuke
AU - Hotta, Akito
AU - Ikeda, Yasushi
PY - 2019/1/1
Y1 - 2019/1/1
N2 - The research of developing and improving pedestrian simulation model is essential in the process of analysing, evaluating and generating the architectural spaces that can not only satisfy circulation design condition but also promote sales by attracting customers. In terms of programming the simulation for commercial environment, current study attempts to use shortest-path algorithm generally and these results suggested that the model can reproduce approximate real trajectory within given environment. However, these studies also mentioned about necessity of considering shopper internal state and visual field. In this paper, in order to further incorporate the dynamic internal state (memory) into simulation model, we propose using iterative algorithm based on recurrent neural network (RNN) framework which allow it to exhibit temporal dynamic behaviour for a time sequence. Finally, we demonstrate the effectiveness of these algorithms we introduce and assess the combination of multiple algorithms and calibration of probability by comparing with trajectories of the experiment.
AB - The research of developing and improving pedestrian simulation model is essential in the process of analysing, evaluating and generating the architectural spaces that can not only satisfy circulation design condition but also promote sales by attracting customers. In terms of programming the simulation for commercial environment, current study attempts to use shortest-path algorithm generally and these results suggested that the model can reproduce approximate real trajectory within given environment. However, these studies also mentioned about necessity of considering shopper internal state and visual field. In this paper, in order to further incorporate the dynamic internal state (memory) into simulation model, we propose using iterative algorithm based on recurrent neural network (RNN) framework which allow it to exhibit temporal dynamic behaviour for a time sequence. Finally, we demonstrate the effectiveness of these algorithms we introduce and assess the combination of multiple algorithms and calibration of probability by comparing with trajectories of the experiment.
KW - Algorithm
KW - Commercial environment
KW - Pedestrian simulation
KW - RNN
UR - http://www.scopus.com/inward/record.url?scp=85068373467&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85068373467&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85068373467
T3 - Intelligent and Informed - Proceedings of the 24th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2019
SP - 281
EP - 290
BT - Intelligent and Informed - Proceedings of the 24th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2019
A2 - Haeusler, Matthias Hank
A2 - Schnabel, Marc Aurel
A2 - Fukuda, Tomohiro
PB - The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA)
T2 - 24th International Conference on Computer-Aided Architectural Design Research in Asia: Intelligent and Informed, CAADRIA 2019
Y2 - 15 April 2019 through 18 April 2019
ER -