A traffic accident dataset for Chattanooga, Tennessee
This dataset combines data from traffic sensors, accident data, weather data, and daylight information into a comprehensive tagged traffic accident dataset. This dataset contains …
Spatiotemporal features of traffic help reduce automatic accident detection time
Automated Incident Detection (AID) pipeline as described in the paper. After the dataset generation phase (which is described in detail in our Data in Briefpublication), we …
Pablo Moriano
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1 min read
Generating traffic-based building occupancy schedules in Chattanooga, Tennessee from a grid of traffic sensors
An overview of the methodology presented in this paper, guided by the data workflow. The left-hand side of the figure, (a)-(d), illustrates the traffic data workflow: the data is …
Continuous Emulation and Multiscale Visualization of Traffic Flow Using Stationary Roadside Sensor Data
Comparison of an animated trails visualization (used at microscopic scale) and our proposed animated strips-network for visualizing lane usage at mesoscopic scale for a section of …
Haowen Xu
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1 min read