Predicting Crowd Egress and Environment Relationships to Support Building Design Optimization
Friday, February 04, 2022, 04:00pm - 05:00pm
Speaker: Kaidong Hu
Location : Via Zoom
Event Type: Qualifying Exam
Abstract: During the building plan conceptual design process, the crowd behavior of pedestrians is considered an important evaluation factor. The pedestrian crowd simulation models are generally adapted for contemporary built environment design and evaluation. However, in most cases, the processing time is limited by the computation resources. To optimize calculation, we developed a new methodology revealing the relationship between crowd egress and the built environment utilizing the neural network approach. With the proposed crowd simulating methodology, the computing precision and simulation speed is optimized significantly. A novel layout optimization method based on the neural network approach was tested in a case study at Metropolitan Museum. The automatically generated building plan, focusing on a safe evacuation plan, presented a professionally reasonable result, which also achieves comparable performance to the expert design result.
Rutgers University School of Arts and Sciences
Contact Mubbasir Kapadia