Assigning Traffic Volume Data through Spatial Interpolation
Track: Highways and Roads
Authors: Petya Maneva
The paper describes MAG's methodology to automatically transfer data between the traffic counts and the transportation network databases using proximity analysis. Roadway segments without counts get directional volumes through spatial interpolation alongside routes. An ArcObjects and Python tool is deployed for data transfer and interpolation. Agency staff can quickly validate the results of the regional travel demand model. A web-based mapping service for the general public is being developed.