output
20202026
most citedDynamic Spatiotemporal Graph Convolutional Neural Networks for Traffic Data Imputation with Complex Missing Patterns

111 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2021Show all

5 papers · 1 filter

physics.soc-ph2021★ 23 cited

The impact of inter-city mobility on urban welfare

Sayat Mimar, David Soriano-Paños, Alec Kirkley +5

While much effort has been devoted to understand the role of intra-urban characteristics on sustainability and growth, much remains to be understood about the effect of inter-urban…

cs.LG2021★ 91 cited

Joint Demand Prediction for Multimodal Systems: A Multi-task Multi-relational Spatiotemporal Graph Neural Network Approach

Yuebing Liang, Guan Huang, Zhan Zhao

Dynamic demand prediction is crucial for the efficient operation and management of urban transportation systems. Extensive research has been conducted on single-mode demand predict…

cs.LG2021★ 111 cited

Dynamic Spatiotemporal Graph Convolutional Neural Networks for Traffic Data Imputation with Complex Missing Patterns

Yuebing Liang, Zhan Zhao, Lijun Sun

Missing data is an inevitable and ubiquitous problem for traffic data collection in intelligent transportation systems. Despite extensive research regarding traffic data imputation…

cs.LG2021★ 70 cited

NetTraj: A Network-based Vehicle Trajectory Prediction Model with Directional Representation and Spatiotemporal Attention Mechanisms

Yuebing Liang, Zhan Zhao

Trajectory prediction of vehicles in city-scale road networks is of great importance to various location-based applications such as vehicle navigation, traffic management, and loca…

q-bio.NC2021★ 98 cited

Vector-based Pedestrian Navigation in Cities

Christian Bongiorno, Yulun Zhou, Marta Kryven +5

How do pedestrians choose their paths within city street networks? Researchers have tried to shed light on this matter through strictly controlled experiments, but an ultimate answ…