Scheduling preference modeling of rail passengers in the Tokyo Metropolitan Area and evaluation of time-varying fare policy for a congested urban railway line
This study developed and examined a methodology of data assimilation for traffic state estimation in an urban expressway by assimilating the observed traffic data from fixed detectors. The influence of different sensor locations on the accuracy of traffic state estimation using a velocity-based cell transmission model originally developed by Work et al. (2010) and state estimation with an Ensemble Kalman Filter was studied and tested on a segment of the Tokyo Metropolitan Highway during rush hours after obtaining the optimal parameters with maximum likelihood procedure. It showed that the estimated velocity changes significantly when the interval is largely extended from the present spacing, but is acceptable at intermediate spacing.
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