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2020 – today
- 2024
[j3]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): 252-266 (2024)- [i1]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 abs/2406.13724 (2024) - 2023
- [j2]Xuehao Zhai, Fangce Guo, Rajesh Krishnan:
An Online Optimal Bus Signal Priority Strategy to Equalise Headway in Real-Time. Inf. 14(2): 101 (2023) - 2021
- [c6]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: 3564-3569 - 2020
- [c5]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: 1-6
2010 – 2019
- 2019
- [c4]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: 382-387 - [c3]Lin Zhu, Rajesh Krishnan, Fangce Guo, John W. Polak, Aruna Sivakumar:
Early Identification of Recurrent Congestion in Heterogeneous Urban Traffic. ITSC 2019: 4392-4397 - 2018
- [c2]Lin Zhu, Fangce Guo, Rajesh Krishnan, John W. Polak:
A Deep Learning Approach for Traffic Incident Detection in Urban Networks. ITSC 2018: 1011-1016 - 2017
- [j1]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): 214-226 (2017) - 2010
- [c1]Fangce Guo, John W. Polak, Rajesh Krishnan:
Comparison of modelling approaches for short term traffic prediction under normal and abnormal conditions. ITSC 2010: 1209-1214
Coauthor Index
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