Sentence examples for road segment data from inspiring English sources

Road segment data were provided by the Environmental Services Research Institute (ESRI).

Stage 3 involves importing the modified road segment geospatial data back into ArcGIS - this modified data represents the road segments that have sidewalks - and calculating the distance of road segments in the region of interest that contain sidewalks.

Stage 2 involves opening the extracted road segment geospatial data in Google Earth, visually examining each road segment in aerial and street view images to see if sidewalks are present on either sides of the road for each road segment, and manually deleting any road segments that do not have a sidewalk on at least one side from the road segment geospatial data.

Stage 2 involves opening the extracted road segment geospatial data in Google Earth, visually examining road segments to see if they contain sidewalks, and deleting road segments without sidewalks.

Every vehicle based on the received information and its own observations for the related road segment and frequency aggregates the data and finds the similarity function.

For road segments without traffic data, mean values were assigned to each segment on the basis of existing data for the included road types [ 22].

We discarded winter roads whenever the seasonality of a road segment was evident from the data attributes.

Thiragarajan et al. [ 35- 37] used a Hidden Markov Model (HMM) to map noisy phone location data to road segments using mobile phone data from both the GPS and the Global System for Mobile Communications (GSM) systems.

Falling Weight Deflectometer (FWD) tests were conducted on these road segments and FWD data were analyzed with appropriate temperature correction procedures to determine and monitor the structural conditions of existing, in-service pavement sections.

The LUR models included the variables vehicle miles traveled on highways, major and other roads, total lengths of major and local road segments, land use data (industrial, commercial) and satellite-derived soil brightness within circular buffers of various radii centered on the sampling sites, distance between the sampling sites and nearest truck routes, and coordinates of the sampling sites.

RSUs update the data for each road segment, frequency, and time segment.