We introduce road network-based bridgelets, which are spatiotemporal probability clouds that model the location uncertainty between two endpoints, and we ...
We introduce road network-based bridgelets, which are spatiotemporal probability clouds that model the location uncertainty between two endpoints, and we ...
We introduce road network-based bridgelets, which are spatiotemporal probability clouds that model the location uncertainty between two endpoints.
Our method considers the spatial features and restrictions imposed by the road network to represent the uncertainty in location more realistically. Additionally ...
The ROADENG system was used for determining the Jezerná forest road design with use of projection above the digital elevation model of terrain. Particular ...
In this paper, we proposed a vehicle travel trajectory completion algorithm based on license plate recognition data. Firstly, a processing method for redundant ...
Sep 30, 2024 · This study proposes a novel method for assessing the time-variant reliability of bridge structures by combining deep learning and regular vine (R-vine) copula ...
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Time-variant road network-based bridgelets. C Anastasiou, J Krumm, C Shahabi. 2023 24th IEEE International Conference on Mobile Data Management (MDM), 265-273 ...
Co-authors ; Time-variant road network-based bridgelets. C Anastasiou, J Krumm, C Shahabi. 2023 24th IEEE International Conference on Mobile Data Management (MDM) ...
This paper presents a new method to extract the time-varying characteristics of the bridge under the passage of vehicles.