City-scale traffic estimation from a roving sensor network

  title={City-scale traffic estimation from a roving sensor network},
  author={Javed A. Aslam and Sejoon Lim and Xinghao Pan and Daniela Rus},
Traffic congestion, volumes, origins, destinations, routes, and other road-network performance metrics are typically collected through survey data or via static sensors such as traffic cameras and loop detectors. This information is often out-of-date, difficult to collect and aggregate, difficult to analyze and quantify, or all of the above. In this paper we conduct a case study that demonstrates that it is possible to accurately infer traffic volume through data collected from a roving sensor… CONTINUE READING
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