Crowdmap and Ushahidi: to obtain and visualize traffic congestion information in Mexico City

  • Authors:
  • Karla Ivon López Guillén;Uriel Flores Mendoza;Larissa Welti Santos

  • Affiliations:
  • Inttelmex it, Uruguay, México, D. F.;Inttelmex it, Uruguay, México, D. F.;Inttelmex it, Uruguay, México, D. F.

  • Venue:
  • Proceedings of the 4th ACM SIGSPATIAL International Workshop on Computational Transportation Science
  • Year:
  • 2011

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Abstract

Our research group is creating a tool that uses information technology and geographic information systems to map spatial information in order to assist people with decision-making related to the traffic congestion problem in Mexico City. We are creating a novel application that focuses on improving vehicular mobility through the Crowdmap platform and we are asking for participation from Mexico City's society. This application will not provide users with a dynamic shortest path, but will help them with information to take an alternative route to their destination. We will present the most important challenges and results of our in-progress research, the solution approach to visualize traffic flow in real-time based on Crowdmap and Ushahidi, and the most important next steps to be taken in our research. We are looking forward to the adoption of this application to evaluate what kind of impact it has in Mexico City's society.