ITPM 2024: pp. 232 - 249
Authors:
- Serhii Dolhopolov
- Tetyana Honcharenko
- Illia Sachenko
- Denys Gergi
1 Kyiv National University of Construction and Architecture, 31, Air Force Avenue, Kyiv, 03037, Ukraine
2 Kyiv National University of Construction and Architecture, 31, Air Force Avenue, Kyiv, 03037, Ukraine
3 Kyiv National University of Construction and Architecture, 31, Air Force Avenue, Kyiv, 03037, Ukraine
4 Kyiv National University of Construction and Architecture, 31, Air Force Avenue, Kyiv, 03037, Ukraine
Abstract
The integration of Long Range (LoRa) technology with Generative Adversarial Networks (GANs)
marks a significant breakthrough in spatial data processing, with profound implications for urban
planning and architectural design project management. Exploring the synergistic potential of
marrying LoRa’s efficient, long-range communication capabilities with the sophisticated data
processing and generative prowess of GANs, the study developed a specialized LoRa model. This
model was meticulously trained using a diverse dataset comprising 1,100 instances across
various urban and architectural layouts, facilitating the generation of detailed and dynamic 2D
site plans. Performance evaluation of the model across multiple epochs revealed a decrease in
loss from an initial 0.11 to 0.0577, illustrating a robust learning trajectory and increased accuracy
over time. Such progression highlights the model’s enhanced capability to produce progressively
sophisticated urban designs, pivotal for effective project management in urban development.
Significantly, the application of LoRa and GANs boosts the accuracy and detail of spatial
representations, thereby improving decision-making in real-time urban planning applications.
Most crucially, the integration of these technologies fosters a new paradigm in urban planning
characterized by heightened efficiency, scalability, and sustainability. These advancements equip
project managers with powerful tools to manage complex urban development projects more
effectively, ensuring that planning and implementation phases are closely aligned with project
goals.
Keywords
Project Management, LoRa Technology, Generative Adversarial Networks (GANs), Spatial Data
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