Lin Zhu
Lin Zhu
Ph.D., Centre for Transport Studies, Imperial College London
Verified email at imperial.ac.uk
Title
Cited by
Cited by
Year
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
122018
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
82018
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
62018
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
12017
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
2019
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
2019
Spatial-Temporal Hybrid Deep Neural Networks for Early Congestion Detection
L Zhu, F Guo, R Krishnan, JW Polak
7th Symposium of the European Association for Research in Transportation (hEART), 2018
2018
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Articles 1–7