Improvement of microscopic traffic simulation with driver's parameter variation using travel time estimation

The purpose of this research is to simulate realistic traffic flow with adequate high reproduction rate as to be able to evaluate ITS technologies and policies with various criteria. To do this, a method to calibrate driver model parameters with consideration of vehicle generation distribution is proposed implementing the travel time estimation method, adding to calibration of traffic volume and average speeds observed by traffic detectors. In the previous study with our microscopic traffic simulator KAKUMO, the parameters were calibrated and evaluated macroscopically by the traffic volume and average speed in each lane obtained from traffic detector data. Using the travel time estimation method, the reproduction of simulated traffic is considered to be evaluated in multiple viewpoints with travel time along a section calculated from detector data at certain points on the assumption with an appropriate vehicle generated distribution.