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This report describes a grouping of statewide permanent and key traffic counters on the basis of their geographic variations in traffic flow. Several factors were considered including the distance between clusters and urban versus rural areas. Traffic counts for a 3-year period were grouped into clusters by highway functional class for each individual parish. A computer program examines the maximum distance within a cluster and the maximum, average, and minimum distances within and between clusters. Count stations are arranged in clusters or groups of comparatively like counts. The cluster groups were examined by reviewing Louisiana parish maps that show the station locations. A computerized cluster analysis of all districts for 1977-1979 was reviewed according to highway functional classes 6, 7, and 8.
"One of the most common traffic volume parameters reported by statewide traffic monitoring programs is annual average daily traffic (AADT). Departments of Transportation (DOT) and other state agencies use a series of continuous vehicle detection devices in association with smaller more mobile short-term counts. Once the short-term counts are recorded a series of adjustment factors (time of day, day of week, month of year, or seasonal) are applied to the short-term counts. The end result is an estimated AADT for a particular segment of roadway. Traditionally, as defined in section two of the Traffic Monitoring Guide (TMG), there are three methodologies, geographic/functional assignment of roads to groups, cluster analysis and the same road application factor. In each case, there are advantages and disadvantages and currently there is not a final peer reviewed nationally suggested method. The benefits associated with this research include an improved method for estimating AADT throughout Ohio"--Technical report documentation page.
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