Kristian Henrickson
Kristian Henrickson
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Cited by
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Traffic graph convolutional recurrent neural network: A deep learning framework for network-scale traffic learning and forecasting
Z Cui, K Henrickson, R Ke, Y Wang
IEEE Transactions on Intelligent Transportation Systems 21 (11), 4883-4894, 2019
High-order graph convolutional recurrent neural network: A deep learning framework for network-scale traffic learning and forecasting
Z Cui, K Henrickson, R Ke, X Dong, Y Wang
Transportation Research Board 98th Annual MeetingTransportation Research Board, 2019
Google Earth elevation data extraction and accuracy assessment for transportation applications
Y Wang, Y Zou, K Henrickson, Y Wang, J Tang, BJ Park
PloS one 12 (4), e0175756, 2017
Estimation of origin and destination information from Bluetooth and Wi-Fi sensing for transit
M Dunlap, Z Li, K Henrickson, Y Wang
Transportation Research Record 2595 (1), 11-17, 2016
Application of Finite Mixture Models for Analyzing Freeway Incident Clearance Time
KX Zou, Yajie, Kristian Henrickson, Dominique Lord, Yinhai Wang
Transportmetrica A: Transport Science, 2015
Flexible and robust method for missing loop detector data imputation
K Henrickson, Y Zou, Y Wang
Transportation Research Record 2527 (1), 29-36, 2015
Kinect‐based pedestrian detection for crowded scenes
X Chen, K Henrickson, Y Wang
Computer‐Aided Civil and Infrastructure Engineering 31 (3), 229-240, 2016
Multi-output Gaussian processes for crowdsourced traffic data imputation
F Rodrigues, K Henrickson, FC Pereira
IEEE Transactions on Intelligent Transportation Systems 20 (2), 594-603, 2018
Modeling vehicle fuel consumption and emissions at signalized intersection approaches: integrating field-collected data into microscopic simulation.
KR Den Braven, A Abdel-Rahim, K Henrickson, A Battles
National Institute for Advanced Transportation Technology (US), 2012
Jointly analyzing freeway traffic incident clearance and response time using a copula-based approach
Y Zou, X Ye, K Henrickson, J Tang, Y Wang
Transportation research part C: emerging technologies 86, 171-182, 2018
A two-stage algorithm for origin-destination matrices estimation considering dynamic dispersion parameter for route choice
Y Wang, X Ma, Y Liu, K Gong, KC Henricakson, M Xu, Y Wang
PloS one 11 (1), e0146850, 2016
Digital roadway interactive visualization and evaluation network applications to WSDOT operational data usage.
Y Wang, W Zhang, K Henrickson, R Ke, Z Cui
Washington (State). Dept. of Transportation, 2016
Vehicle traffic delay prediction in ferry terminal based on Bayesian multiple models combination method
W Zhang, Y Qi, K Henrickson, J Tan, Y Wang
Transportmetrica A: Transport Science 13 (5), 467-490, 2017
Hybrid short-term prediction of traffic volume at ferry terminal based on data fusion
W Zhang, J Tang, H Kristian, Y Zou, Y Wang
IET Intelligent Transport Systems 10 (8), 524-534, 2016
Quantile analysis of factors influencing the time taken to clear road traffic incidents
Y Zou, J Tang, L Wu, K Henrickson, Y Wang
Proceedings of the Institution of Civil Engineers-Transport 170 (5), 296-304, 2017
New progress of DRIVE Net: An E-science transportation platform for data sharing, visualization, modeling, and analysis
Z Cui, S Zhang, KC Henrickson, Y Wang
2016 IEEE International Smart Cities Conference (ISC2), 1-2, 2016
Data Preparation
K Henrickson, F Rodrigues, FC Pereira
Mobility Patterns, Big Data and Transport Analytics, 73-106, 2019
Dynamic lane assignment approach for freeway weaving segment operation
Y Wang, W Ma, KC Henrickson, Y Wang, X Yang
Transportation Research Record 2484 (1), 39-49, 2015
Criteria for the Selection and Application of Advanced Traffic Signal Systems
Y Wang, J Corey, Y Lao, K Henrickson, X Xin
Application of the empirical bayes method with the finite mixture model for identifying accident-prone spots
Y Zou, K Henrickson, L Wu, Y Wang, Z Zhang
Mathematical Problems in Engineering 2015, 2015
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