Context-Aware Design of Cyber-Physical Human Systems (CPHS)

no code implementations • 7 Jan 2020 • Supratik Mukhopadhyay, Qun Liu, Edward Collier, Yimin Zhu, Ravindra Gudishala, Chanachok Chokwitthaya, Robert DiBiano, Alimire Nabijiang, Sanaz Saeidi, Subhajit Sidhanta, Arnab Ganguly

The impacts of context factors driving human system interaction are challenging and are difficult to capture and replicate in existing design models.

Decision Making

Improving Prediction Accuracy in Building Performance Models Using Generative Adversarial Networks (GANs)

no code implementations • 13 Jun 2019 • Chanachok Chokwitthaya, Edward Collier, Yimin Zhu, Supratik Mukhopadhyay

To potentially reduce the discrepancies and improve the prediction accuracy of BPMs, this paper proposes a computational framework for learning mixture models by using Generative Adversarial Networks (GANs) that appropriately combining existing BPMs with knowledge on occupant behaviors to contextual factors in new designs.

Improving Route Choice Models by Incorporating Contextual Factors via Knowledge Distillation

no code implementations • 27 Mar 2019 • Qun Liu, Supratik Mukhopadhyay, Yimin Zhu, Ravindra Gudishala, Sanaz Saeidi, Alimire Nabijiang

High fidelity route choice models are required to predict traffic levels with higher accuracy.

Knowledge Distillation Management