This paper discusses the exponential regression model, which is the simplest but very important in the family of Bayesian accelerated failure-time model.

This paper developed an alternative approach that can incorporate both traffic count and link attributes through an exponential regression model in estimating volume and VMT.

The model which combined Cobb-Douglas production function, multiple regression model and exponential smoothing model can improve the accuracy of fix and forecast by proper weighs.