Fangce Guo

11 papers Journal 5Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Heterogeneous graph neural networks with post-hoc explanations for multi-modal and explainable land use inference.
Inf. Fusion
Xuehao Zhai, Junqi Jiang, Adam Dejl, Antonio Rago, Fangce Guo, Francesca Toni, Aruna Sivakumar
2024 J jnl
An analysis of the value of optimal routing and signal timing control strategy with connected autonomous vehicles.
J. Intell. Transp. Syst.
Tang Li, Fangce Guo, Rajesh Krishnan, Aruna Sivakumar
2024 J jnl
Heterogeneous Graph Neural Networks with Post-hoc Explanations for Multi-modal and Explainable Land Use Inference.
CoRR
Xuehao Zhai, Junqi Jiang, Adam Dejl, Antonio Rago, Fangce Guo, Francesca Toni, Aruna Sivakumar
2023 J jnl
An Online Optimal Bus Signal Priority Strategy to Equalise Headway in Real-Time.
Inf.
Xuehao Zhai, Fangce Guo, Rajesh Krishnan
2021 — conf
A Domain Adaptation Framework for Short-term Traffic Prediction.
ITSC
Junyi Li, Kaihang Zhang, Loutao Shen, Zhebing Wang, Fangce Guo, Panagiotis Angeloudis, Xiqun Michael Chen, Simon Hu
2020 — conf
Short-term Traffic Prediction with Deep Neural Networks and Adaptive Transfer Learning.
ITSC
Junyi Li, Fangce Guo, Yibing Wang, Lihui Zhang, Xiaoxiang Na, Simon Hu
2019 — conf
Early Identification of Recurrent Congestion in Heterogeneous Urban Traffic.
ITSC
Lin Zhu, Rajesh Krishnan, Fangce Guo, John W. Polak, Aruna Sivakumar
2019 — conf
Traffic Monitoring and Anomaly Detection based on Simulation of Luxembourg Road Network.
ITSC
Lin Zhu, Rajesh Krishnan, Aruna Sivakumar, Fangce Guo, John W. Polak
2018 — conf
A Deep Learning Approach for Traffic Incident Detection in Urban Networks.
ITSC
Lin Zhu, Fangce Guo, Rajesh Krishnan, John W. Polak
2017 J jnl
The influence of alternative data smoothing prediction techniques on the performance of a two-stage short-term urban travel time prediction framework.
J. Intell. Transp. Syst.
Fangce Guo, Rajesh Krishnan, John W. Polak
2010 — conf
Comparison of modelling approaches for short term traffic prediction under normal and abnormal conditions.
ITSC
Fangce Guo, John W. Polak, Rajesh Krishnan