Improving Seasonal Adjustment Factors for Better AADT Estimation using Network Interpolation Techniques
Annual average daily traffic (AADT) values play an important role in transportation design, operation, and planning. Each year, transportation agencies spend a significant amount of resources collecting this information. However, AADT values are mostly rough estimates based on the closest short-period traffic counts, factored up using adjustment factors derived from permanent continuous count stations.

