Ashok Srinivasan
University of West Florida
The primary data from our project are (1) a new pedestrian dynamics model, (2) videos captured from worldwide locations showing crowd sizes, and (3) data resulting from LBS and video analysis. In addition, we will generate simulation results in numeric and image formats. Our deliverables include the following.
- New pedestrian dynamics model. We will make our implementation available through the VIPRA cyberinfrastructure.
- Visual data (images or videos) obtained from the worldwide network cameras. The data is already publicly available to anyone that can connect to the Internet.
- Results from LBS and video analysis. We will make aggregated results of the LBS and video analysis available so that other researchers can identify crowds at different locations at different times, determine pedestrian dynamics model parameters, and reproduce our results.
- Repository of simulation results, along with historical data, to validate simulations. These artifacts will include files with known input and output data, step-by-step procedures, and data, such as on disease and airplane types, against which the models can be compared.
- Educational and outreach material, including presentations, tutorials, and videos for dissemination purposes.
- We can offer assistance with fine-scaled infection spread analysis for other researchers. For example, our simulations can examine the impact of crowd management plans in built environments, such as queuing strategies, the layout of high-density common areas, etc. on the disease spread.
- We can also provide input to other researchers on the impact of COVID-19 and public health policies on human behavior through our video analysis. We can use LBS analysis to provide input to researchers on human mobility patterns. Our models can provide parameters for coarse-scale epidemic models of other research groups, such as at the scale of entire cities or regions.
- We can also collaborate on detailed infection-spread models to use with our pedestrian movement data and models.
pedestrians walking crowds location-based services network cameras images videos non-linear dynamics public policy COVID-19