A team at the New Jersey Institute of Technology is leveraging artificial intelligence to dissect how crowds move, a breakthrough with wide-ranging implications for emergency management, urban planning, and more.
What Happened
New Jersey Institute of Technology (NJIT) researchers are employing machine learning and AI to gain new insights into human crowd dynamics. Under the guidance of Assistant Professor Tomer Weiss from NJIT's Ying Wu College of Computing, the team collaborates with graduate students to explore how AI can enhance their comprehension of individual and crowd movement patterns. This research stands to impact various fields, including emergency management, pedestrian traffic planning, robotics, special effects, and the gaming industry.
Why It Matters for the AECM Industry
Understanding crowd dynamics is crucial for architects and engineers who design public spaces, ensuring safety and efficiency. AI-driven insights can optimize the design of buildings and urban areas to better handle pedestrian flow, reducing congestion and enhancing safety during emergencies. For construction managers, this research can inform project planning and site management, potentially lowering costs associated with crowd control and safety measures. Additionally, manufacturers of robotics and smart city technologies can integrate these insights to improve the interaction between humans and automated systems, creating more responsive environments.
What's Next
The research is ongoing, with the NJIT team continuing to refine their AI models to capture more nuanced aspects of crowd behavior. As these models evolve, they could lead to new standards or technologies in the design of public spaces and smart cities. Industry professionals should watch for developments in AI applications for urban planning and public safety, as these could influence future regulatory standards and best practices.
Source: https://news.njit.edu/machine-learning-and-ai-help-njit-researchers-understand-human-crowd-movement. Read the original story ->
