Comparison of modelling approaches for short term traffic prediction under normal and abnormal conditions. - Fangce Guo; John W. Polak; Rajesh Krishnan (ITSC, 2010)

The influence of alternative data smoothing prediction techniques on the performance of a two-stage short-term urban travel time prediction framework. - Fangce Guo; Rajesh Krishnan; John W. Polak (J. Intell. Transp. Syst., 2017)

A Deep Learning Approach for Traffic Incident Detection in Urban Networks. - Lin Zhu; Fangce Guo; Rajesh Krishnan; John W. Polak (ITSC, 2018)

Early Identification of Recurrent Congestion in Heterogeneous Urban Traffic. - Lin Zhu; Rajesh Krishnan; Fangce Guo; John W. Polak; Aruna Sivakumar (ITSC, 2019)

Traffic Monitoring and Anomaly Detection based on Simulation of Luxembourg Road Network. - Lin Zhu; Rajesh Krishnan; Aruna Sivakumar; Fangce Guo; John W. Polak (ITSC, 2019)

Short-term Traffic Prediction with Deep Neural Networks and Adaptive Transfer Learning. - Junyi Li; Fangce Guo; Yibing Wang; Lihui Zhang; Xiaoxiang Na; Simon Hu 001 (ITSC, 2020)

A Domain Adaptation Framework for Short-term Traffic Prediction. - Junyi Li; Kaihang Zhang; Loutao Shen; Zhebing Wang; Fangce Guo; Panagiotis Angeloudis; Xiqun Michael Chen; Simon Hu 001 (ITSC, 2021)

An Online Optimal Bus Signal Priority Strategy to Equalise Headway in Real-Time. - Xuehao Zhai; Fangce Guo; Rajesh Krishnan (Inf., 2023)

An analysis of the value of optimal routing and signal timing control strategy with connected autonomous vehicles. - Tang Li; Fangce Guo; Rajesh Krishnan; Aruna Sivakumar (J. Intell. Transp. Syst., 2024)

Heterogeneous graph neural networks with post-hoc explanations for multi-modal and explainable land use inference. - Xuehao Zhai; Junqi Jiang; Adam Dejl; Antonio Rago 001; Fangce Guo; Francesca Toni; Aruna Sivakumar (Inf. Fusion, 2025)