EPICGen: An Experimental Platform for Indoor Congestion Generation and Forecasting
Summary: EPICGen is an experimental platform for indoor congestion generation and forecasting, addressing data scarcity for training models. It integrates Grid Overlayer for floor-plan modeling with a Congestion Generator, plus a map-based UI to customize parameters and visualize synthetic data. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Chrysovalantis Anastasiou (University of Southern California)
- 2. Constantinos Costa (University of Pittsburgh)
- 3. Panos K. Chrysanthis (University of Pittsburgh)
- 4. Cyrus Shahabi (University of Southern California)
BibTeX Citation
@article{anastasiou_vldb21,
title = {{EPICGen: An Experimental Platform for Indoor Congestion Generation and Forecasting}},
author = {Anastasiou, Chrysovalantis and Costa, Constantinos and Chrysanthis, Panos K. and Shahabi, Cyrus},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {12},
pages = {2803--2806},
doi = {10.14778/3476311.3476349},
url = {https://doi.org/10.14778/3476311.3476349},
year = {2021}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,218 | Vita: A Versatile Toolkit for Generating Indoor Mobility Data for Real-World Buildings | 2016 | VLDB | 5.9425753e-05 |
| 13,512 | CAPRIO: Graph-based Integration of Indoor and Outdoor Data for Path Discovery | 2019 | VLDB | - |
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