Ke Zhang

Orcid: 0000-0001-9875-4879

Affiliations:
  • Beijing Municipal Commission of Transport, Beijing Transportation Coordination Center, China
  • Chinese National Intelligent Transport Systems Research Center of Engineering and Technology (ITSC), Research Institute of Highway, Beijing, China (former)
  • Beijing University of Technology, China (PhD 2001)


According to our database1, Ke Zhang authored at least 12 papers between 2006 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2021
Optimized Graph Convolution Recurrent Neural Network for Traffic Prediction.
IEEE Trans. Intell. Transp. Syst., 2021

2020
Irregular Travel Groups Detection Based on Cascade Clustering in Urban Subway.
IEEE Trans. Intell. Transp. Syst., 2020

RNN-Based Subway Passenger Flow Rolling Prediction.
IEEE Access, 2020

Research on Construction of Crude Set Model of Critical Fault Information for Bus Based on CAN-BUS Data.
IEEE Access, 2020

2019
Traffic Data Reconstruction via Adaptive Spatial-Temporal Correlations.
IEEE Trans. Intell. Transp. Syst., 2019

A New Lane-Changing Model with Consideration of Driving Style.
Int. J. Intell. Transp. Syst. Res., 2019

2018
Traffic State Estimation with Big Data.
Proceedings of the 4th ACM SIGSPATIAL International Workshop on Safety and Resilience, 2018

2016
RSS Fingerprint Based Indoor Localization Using Sparse Representation with Spatio-Temporal Constraint.
Sensors, 2016

A real-time visual object tracking system based on Kalman filter and MB-LBP feature matching.
Multim. Tools Appl., 2016

2015
Visual tracking using multi-channel correlation filters.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

2010
Modeling of evacuations to no-notice event by public transit system.
Proceedings of the 13th International IEEE Conference on Intelligent Transportation Systems, 2010

2006
Two distinct ways of using kalman filters to predict urban arterial travel time.
Proceedings of the IEEE Intelligent Transportation Systems Conference, 2006


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