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MTSA is a Metropolitan Travel Survey Archive to store, preserve, and make publicly available, via the internet, travel surveys conducted by metropolitan areas, states and localities. As a result of cooperation from several agencies, we now have been able to post databases along with relevant documentation for many regions in the archive http://www.surveyarchive.org/archive.html . The databases and the documentation can be obtained from this website. In addition to making these databases publicly available, we are also in the process of converting all the databases to a common format to enhance the readability and usability of each survey, so many surveys can be used online, see analyze http://www.surveyarchive.org/analyze.html. The results from the first year of the project, along with issues related to archiving travel survey data are provided in our reports page http://www.surveyarchive.org/reports.html . Papers written by Yacov Zahavi, an instrumental figure in the development of travel surveys, are also provided here.
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This data archive of experiments studying the dynamics of pedestrians is build up by the Institute for Advanced Simulation 7:Civil Safety Research of Forschungszentrum Jülich. This web page provides our own data of experiments. Data of research colleagues can be found here: https://ped.fz-juelich.de/db/doku.php?id=extdb For most of the experiments, the video recordings, as well as the resulting trajectories of single pedestrians, are available. The experiments were performed under laboratory conditions to focus on the influence of a single variable. You are very welcome to use our data for further research, as long as you name the source of the data. If you have further questions feel free to contact Armin Seyfried or Maik Boltes. For most of the experiments, the video recordings, as well as the resulting trajectories of single pedestrians, are available. The experiments were performed under laboratory conditions to focus on the influence of a single variable.
To help flattening the COVID-19 curve public health systems need better information on whether preventive measures are working and how the virus may spread. Facebook Data for Good offer maps on population movement that researchers and nonprofits are already using to understand the coronavirus crisis, using aggregated data to protect people’s privacy.