  This work presents a quantitative approach to estimate the total time spent
in the vicinity of a bus stop including the deceleration time, the boarding and
alighting time (developed in an earlier study), the acceleration time, and
re-entry time (time required to merge into the adjacent lane). Different
statistical models were used to compute the deceleration, acceleration and
merge times. Typical deceleration and acceleration levels were computed using
kinematic equations that were then used to compute both the deceleration and
acceleration times. The adopted method to estimate both the deceleration time
and the acceleration time was validated utilizing transit data from Blacksburg
Transit (BT) using the mean absolute percentage error (MAPE) and root mean
square error (RMSE). The MAPE and RMSE values were calculated to be 0.3 and
13.3 percent for the deceleration time and 0.42 and 2.72 percent for the
acceleration time, respectively. The re-entry time was estimated to be a
function of the adjacent roadway traffic density using both a multiple linear
regression and Bayesian regression approach. Both methods showed consistency in
estimating the merge-time model coefficients. The proposed models can be
integrated with transit applications to estimate transit vehicle travel times.
