While mapping spatiotemporal data has remained a challenge, increasingly we are seeing tools that are available on common open source platforms (e.g., R statistical package and QGIS) or commercial platforms such as ArcGIS.
Recent developments in GIS and analytical applications have demonstrated that predicting road conditions, and thus preventing traffic accidents and possibly even traffic in the first place, is possible.
Hankui Zhang, from South Dakota State University, has developed a new classification technique that used a large number of images from MODIS, which has 500-meter resolution, and Landsat (30-meter) resolution together.
Density mapping is simply a way to show where points or lines may be concentrated in a given area. Common GIS tools such as ArcGIS and QGIS have point density analyses that provide a quantitative value and visual display capability that shows concentration of points.