Fangce Guo
Fangce Guo
Research Fellow, Imperial College London
Verified email at imperial.ac.uk - Homepage
Title
Cited by
Cited by
Year
A computationally efficient two-stage method for short-term traffic prediction on urban roads
F Guo, R Krishnan, J Polak
Transportation planning and technology 36 (1), 62-75, 2013
532013
Predictor fusion for short-term traffic forecasting
F Guo, JW Polak, R Krishnan
Transportation research part C: emerging technologies 92, 90-100, 2018
412018
Short-term traffic prediction under normal and incident conditions using singular spectrum analysis and the k-nearest neighbour method
F Guo, R Krishnan, JW Polak
IET Digital Library, 2012
352012
Comparison of modelling approaches for short term traffic prediction under normal and abnormal conditions
F Guo, JW Polak, R Krishnan
13th International IEEE Conference on Intelligent Transportation Systems …, 2010
332010
A deep learning approach for traffic incident detection in urban networks
L Zhu, F Guo, R Krishnan, JW Polak
2018 21st International Conference on Intelligent Transportation Systems …, 2018
212018
Short-term traffic prediction under normal and abnormal traffic conditions on urban roads
F Guo, R Krishnan, JW Polak
Transportation Research Board 91st Annual Meeting, 2012
182012
Urban link travel time estimation using traffic states-based data fusion
L Zhu, F Guo, JW Polak, R Krishnan
IET Intelligent Transport Systems 12 (7), 651-663, 2018
132018
Evaluating grid-interactive electric bus operation and demand response with load management tariff
Z Wu, F Guo, J Polak, G Strbac
Applied Energy 255, 113798, 2019
122019
The use of convolutional neural networks for traffic incident detection at a network level
L Zhu, F Guo, R Krishnan, JW Polak
Transportation Research Board 97th Annual MeetingTransportation Research Board, 2018
122018
Right-of-way reallocation for mixed flow of autonomous vehicles and human driven vehicles
T Li, F Guo, R Krishnan, A Sivakumar, J Polak
Transportation research part C: emerging technologies 115, 102630, 2020
112020
The influence of alternative data smoothing prediction techniques on the performance of a two-stage short-term urban travel time prediction framework
F Guo, R Krishnan, J Polak
Journal of Intelligent Transportation Systems 21 (3), 214-226, 2017
102017
A novel three-stage framework for short-term travel time prediction under normal and abnormal traffic conditions
F Guo, R Krishnan, JW Polak
93rd Transportation Research Board Annual Meeting, Washington DC, USA, 2014
92014
Short-term traffic prediction under normal and abnormal conditions
F Guo
Imperial College London, 2013
92013
Early identification of recurrent congestion in heterogeneous urban traffic
L Zhu, R Krishnan, F Guo, JW Polak, A Sivakumar
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 4392-4397, 2019
22019
MULTI-SENSOR FUSION BASED ON THE DATA FROM BUS GPS, MOBILE PHONE AND LOOP DETECTORS IN TRAVEL TIME ESTIMATION
L Zhu, F Guo, JW Polak, R Krishnan
Transportation Research Board 96th Annual MeetingTransportation Research Board, 2017
22017
A computationally efficient 2-stage method for short-term traffic prediction on urban roads
F Guo, R Krishnan, J Polak
44th Annual Universities Transport Studies Group (UTSG) Conference, 2012
22012
Traffic Monitoring and Anomaly Detection based on Simulation of Luxembourg Road Network
L Zhu, R Krishnan, A Sivakumar, F Guo, JW Polak
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 382-387, 2019
12019
Disaggregate short-term location prediction based on recurrent neural network and an agent-based platform
Y Dong, J Polak, A Sivakumar, F Guo
Transportation Research Record 2673 (8), 657-668, 2019
12019
Transferability improvement in short-term traffic prediction using stacked LSTM network
J Li, F Guo, A Sivakumar, Y Dong, R Krishnan
Transportation Research Part C: Emerging Technologies 124, 102977, 2021
2021
Heterogeneous Flows of Autonomous and Human Driven Vehicles: An Analysis of the Impacts of Vehicle Size on Road and Passenger Capacity
C Zhong, T Li, F Guo, A Sivakumar, R Krishnan
Transportation Research Board 100th Annual MeetingTransportation Research Board, 2021
2021
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