66 citations · 131 across the 4 of their papers we have counts for
4 papers · 1 filter
UniTE -- The Best of Both Worlds: Unifying Function-Fitting and Aggregation-Based Approaches to Travel Time and Travel Speed Estimation
Tobias Skovgaard Jepsen, Christian S. Jensen, Thomas Dyhre Nielsen
Travel time or speed estimation are part of many intelligent transportation applications. Existing estimation approaches rely on either function fitting or aggregation and represen…
Relational Fusion Networks: Graph Convolutional Networks for Road Networks
Tobias Skovgaard Jepsen, Christian S. Jensen, Thomas Dyhre Nielsen
The application of machine learning techniques in the setting of road networks holds the potential to facilitate many important intelligent transportation applications. Graph Convo…
On Network Embedding for Machine Learning on Road Networks: A Case Study on the Danish Road Network
Tobias Skovgaard Jepsen, Christian S. Jensen, Thomas Dyhre Nielsen
Road networks are a type of spatial network, where edges may be associated with qualitative information such as road type and speed limit. Unfortunately, such information is often…
Graph Convolutional Networks for Road Networks
Tobias Skovgaard Jepsen, Christian S. Jensen, Thomas Dyhre Nielsen
Machine learning techniques for road networks hold the potential to facilitate many important transportation applications. Graph Convolutional Networks (GCNs) are neural networks t…