نبذة مختصرة : As a part of the feasibility analysis of electric truck roadways for some of the major corridors near Los Angles, California, this paper aims to introduce and investigate a new method for microsimulation model calibration. The model of I-710 southbound was developed in VISSIM software and calibrated through two sets of data: O-D demand from planning models and field data which was consist of traffic flow and speed. Due to the lack of proper count data for on-ramps/off-ramps, the O-D demand was estimated via path flow estimator. After determining the calibration parameters, in an attempt to avoid unnecessary VISSIM’s time-consuming runs, a statistical model was developed to evaluate the impacts of different values of these parameters on microsimulation results. This model was used to partially evaluate the initial population of a genetic algorithm which was used to calibrate the parameters. The results indicate that, even with a lack of proper data, the outputs of the calibrated model can mimic the field data closely in every 5-minute intervals for every station along the studied corridor.
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