Fangce Guo

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 9

Top Topics

Transfer Learning

Traffic Monitoring

Top Venues

J. Intell. Transp. Syst.

Publications

Xuehao Zhai, Junqi Jiang, Adam Dejl, Antonio Rago, Fangce Guo, Francesca Toni, Aruna Sivakumar
Heterogeneous Graph Neural Networks with Post-hoc Explanations for Multi-modal and Explainable Land Use Inference. CoRR (2024)
Tang Li, Fangce Guo, Rajesh Krishnan, Aruna Sivakumar
An analysis of the value of optimal routing and signal timing control strategy with connected autonomous vehicles. J. Intell. Transp. Syst. 28 (2) (2024)
Xuehao Zhai, Fangce Guo, Rajesh Krishnan
An Online Optimal Bus Signal Priority Strategy to Equalise Headway in Real-Time. Inf. 14 (2) (2023)
Junyi Li, Kaihang Zhang, Loutao Shen, Zhebing Wang, Fangce Guo, Panagiotis Angeloudis, Xiqun Michael Chen, Simon Hu
A Domain Adaptation Framework for Short-term Traffic Prediction. ITSC (2021)
Junyi Li, Fangce Guo, Yibing Wang, Lihui Zhang, Xiaoxiang Na, Simon Hu
Short-term Traffic Prediction with Deep Neural Networks and Adaptive Transfer Learning. ITSC (2020)
Lin Zhu, Rajesh Krishnan, Fangce Guo, John W. Polak, Aruna Sivakumar
Early Identification of Recurrent Congestion in Heterogeneous Urban Traffic. ITSC (2019)
Lin Zhu, Rajesh Krishnan, Aruna Sivakumar, Fangce Guo, John W. Polak
Traffic Monitoring and Anomaly Detection based on Simulation of Luxembourg Road Network. ITSC (2019)
Lin Zhu, Fangce Guo, Rajesh Krishnan, John W. Polak
A Deep Learning Approach for Traffic Incident Detection in Urban Networks. ITSC (2018)
Fangce Guo, Rajesh Krishnan, John W. Polak
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. 21 (3) (2017)
Fangce Guo, John W. Polak, Rajesh Krishnan
Comparison of modelling approaches for short term traffic prediction under normal and abnormal conditions. ITSC (2010)