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A multi-view bidirectional spatiotemporal graph network for urban traffic flow imputation
Accurate estimation of missing traffic data is one of the essential components in intelligent
transportation systems (ITS). The non-Euclidean data structure and complex missing traffic …
transportation systems (ITS). The non-Euclidean data structure and complex missing traffic …
[HTML][HTML] Three-dimensional structure determination of grade-separated road intersections from crowdsourced trajectories
Although existing research on road intersection detection has been widely conducted using
sensor data, map** grade-separated road intersections in three-dimensions is still …
sensor data, map** grade-separated road intersections in three-dimensions is still …
Detecting interchanges in road networks using a graph convolutional network approach
M Yang, C Jiang, X Yan, T Ai, M Cao… - International Journal of …, 2022 - Taylor & Francis
Detecting interchanges in road networks benefit many applications, such as vehicle
navigation and map generalization. Traditional approaches use manually defined rules …
navigation and map generalization. Traditional approaches use manually defined rules …
Develo** novel performance measures for traffic congestion management and operational planning based on connected vehicle data
In this paper, the authors present their efforts in exploring a new type of traffic data, referred
to as internet-connected vehicle (ICV) data, for traffic congestion management and …
to as internet-connected vehicle (ICV) data, for traffic congestion management and …
A guided deep learning approach for joint road extraction and intersection detection from RS images and taxi trajectories
Y Li, L **-Zhang-14/publication/377280755_A_multi-hierarchical_method_to_extract_spatial_network_structures_from_large-scale_origin-destination_flow_data/links/674acc17f309a268c0192e60/A-multi-hierarchical-method-to-extract-spatial-network-structures-from-large-scale-origin-destination-flow-data.pdf" data-clk="hl=uk&sa=T&oi=gga&ct=gga&cd=6&d=1405135004568557337&ei=j7m_Z6aSKZqU6rQP__WW-Qw" data-clk-atid="GZfGiNcKgBMJ" target="_blank">[PDF] researchgate.net
A multi-hierarchical method to extract spatial network structures from large-scale origin-destination flow data
Extracting spatial network structure (SNS) from large-scale origin-destination flow data is an
important approach for understanding interregional association patterns and interaction …
important approach for understanding interregional association patterns and interaction …
TR2RM: An urban road network generation model based on multisource big data
Road networks are an important part of transportation infrastructure through which people
experience a city. The existing methods of vector map data generation mainly depend on a …
experience a city. The existing methods of vector map data generation mainly depend on a …
Road extraction using a dual attention dilated-LinkNet based on satellite images and floating vehicle trajectory data
Automatic extraction of road from multisource remote sensing data has always been a
challenging task. Factors such as shadow occlusion and multisource data alignment errors …
challenging task. Factors such as shadow occlusion and multisource data alignment errors …
A movement-aware measure for trajectory similarity and its application for ride-sharing path extraction in a road network
J Peng, M Deng, J Tang, Z Hu, H ** intelligent ride-sharing services. To achieve this, it …