Fangce Guo

According to our database, Fangce Guo authored at least 10 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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., March, 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, Fangce Guo, Francesca Toni, Aruna Sivakumar

CoRR, 2024

2023

An Online Optimal Bus Signal Priority Strategy to Equalise Headway in Real-Time.

Xuehao Zhai, Fangce Guo, Rajesh Krishnan

Inf., February, 2023

2021

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

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2020

Short-term Traffic Prediction with Deep Neural Networks and Adaptive Transfer Learning.

Junyi Li, Fangce Guo, Yibing Wang, Lihui Zhang, Xiaoxiang Na, Simon Hu

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2019

Traffic Monitoring and Anomaly Detection based on Simulation of Luxembourg Road Network.

Lin Zhu, Rajesh Krishnan, Aruna Sivakumar, Fangce Guo, John W. Polak

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Early Identification of Recurrent Congestion in Heterogeneous Urban Traffic.

Lin Zhu, Rajesh Krishnan, Fangce Guo, John W. Polak, Aruna Sivakumar

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018

A Deep Learning Approach for Traffic Incident Detection in Urban Networks.

Lin Zhu, Fangce Guo, Rajesh Krishnan, John W. Polak

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

2017

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

2010

Comparison of modelling approaches for short term traffic prediction under normal and abnormal conditions.

Fangce Guo, John W. Polak, Rajesh Krishnan

Proceedings of the 13th International IEEE Conference on Intelligent Transportation Systems, 2010