Leveraging spatial abstraction in traffic analysis and forecasting with visual analytics

ng Spatial Abstraction in Traffic Analysis and Forecasting with Visual Analytics Natalia Andrienko1 , Gennady Andrienko1 , and Salvatore Rinzivillo2 — A spatially abstracted transportation network is a graph where nodes are territory compartments n geographic space) and edges, or links, are abstract constructs, each link representing all possible paths between two neighboring areas. By applying visual analytics techniques to vehicle traffic data from different territories, we discovered that the traffic intensity (a.k.a. traffic flow or traffic flux) and the mean velocity are ated in a spatially abstracted transportation network in the same way as at the level of street segments. , these relationships are consistent across different levels of spatial abstraction of a physical tation network. Graphical representations of the flux-velocity interdependencies for abstracted links have the same shape as the fundamental diagram of traffic flow through a physical street segment, which is kn...

• Type: Journal
• Year: 2016
• Where: IS
• Authors: Natalia V. Andrienko, Gennady L. Andrienko, Salvatore Rinzivillo
• Keywords: Artificial Intelligence, IS 2016