A finite mixture model of vehicle-to-vehicle and day-to-day variability of traffic network travel times
Separates vehicle-to-vehicle vs. day-to-day variability of travel time. Recognizes multiple possible regimes in traffic flow. Model derived mathematically and calibrated with actual and simulated data. Clustering technique used to identify input scenarios (e.g. weather). Can help assess and evaluate impact of different intervention scenarios on reliability.
finite mixture model travel time reliability travel time variability gammagamma distribution expectationmaximization algorithm