The travel impedance skim matrix is one of the most essential intermediate Wooden Stacking products within transportation forecasting models and is a fundamental input for activity-based transportation forecasting models.It reflects interzonal travel time, travel time reliability, travel costs, etc.by time of day.The traditional method to obtain skim matrices is to execute multiple times of time-dependent, shortest-path calculations.However, the computational and memory use burden can easily increase to an intractable level when dealing with mega-scale networks, such as those with thousands of traffic-analysis zones.
This research proposes two new approaches to extract the interzonal travel impedance Sticker Pack information from the already existing vehicle trajectory data.Vehicle trajectories store travel impedance information in a more compact format when compared to time-dependent link performance profiles.The numerical experiments highlight huge potential advantages of the proposed approaches in terms of saving both memory and CPU time.