Nov 24, 2017 · We propose a new PAth-CEntric paradigm, PACE, that targets more accurate and more efficient path cost estimation and path finding.

By assigning weights to paths, PACE avoids splitting trajectories into small fragments. We solve two fundamental problems to establish the PACE paradigm: (i) ...

Abstract With the growing volumes of vehicle trajectory data, it becomes increasingly possible to capture time-varying and uncertain travel costs, e.g., ...

A new PAth-CEntric paradigm, PACE, that targets more accurate and more efficient path cost estimation and path finding and a new stochastic path finding ...

By assigning weights to paths, PACE avoids splitting trajectories into small fragments. We solve two fundamental problems to establish the PACE paradigm: (i) ...

By assigning weights to paths, PACE avoids splitting trajectories into small fragments. We solve two fundamental problems to establish the PACE paradigm: (i) ...

By assigning weights to paths, PACE avoids splitting trajectories into small fragments. We solve two fundamental problems to establish the PACE paradigm: (i) ...

Nov 24, 2017 · Abstract With the growing volumes of vehicle trajectory data, it becomes increasingly possible to capture time-.

PACE: a PAth-CEntric paradigm for stochastic path finding ; Journal: The VLDB Journal, 2017, № 2, p. 153-178 ; Publisher: Springer Science and Business Media LLC.

PACE: a PAth-CEntric paradigm for stochastic path finding. Yang, B., Dai, J., Guo, C., Jensen, C. S., & Hu, J. VLDB J., 27(2):153–178, 2018. bibtex @article ...