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Yi Hou
Yi Hou
Dirección de correo verificada de nrel.gov
Título
Citado por
Citado por
Año
Modeling mandatory lane changing using Bayes classifier and decision trees
Y Hou, P Edara, C Sun
IEEE Transactions on Intelligent Transportation Systems 15 (2), 647-655, 2013
2342013
Traffic flow forecasting for urban work zones
Y Hou, P Edara, C Sun
IEEE transactions on intelligent transportation systems 16 (4), 1761-1770, 2014
1602014
Situation assessment and decision making for lane change assistance using ensemble learning methods
Y Hou, P Edara, C Sun
Expert Systems with Applications 42 (8), 3875-3882, 2015
1512015
Network scale travel time prediction using deep learning
Y Hou, P Edara
Transportation Research Record 2672 (45), 115-123, 2018
822018
Factors influencing willingness to pool in ride-hailing trips
Y Hou, V Garikapati, D Weigl, A Henao, M Moniot, J Sperling
Transportation Research Record 2674 (5), 419-429, 2020
762020
Statistical test for 85th and 15th percentile speeds with asymptotic distribution of sample quantiles
Y Hou, C Sun, P Edara
Transportation research record 2279 (1), 47-53, 2012
562012
A genetic fuzzy system for modeling mandatory lane changing
Y Hou, P Edara, C Sun
2012 15th International IEEE Conference on Intelligent Transportation …, 2012
542012
Data-driven multi-step demand prediction for ride-hailing services using convolutional neural network
C Wang, Y Hou, M Barth
Advances in Computer Vision: Proceedings of the 2019 Computer Vision …, 2020
422020
Reducing ridesourcing empty vehicle travel with future travel demand prediction
E Kontou, V Garikapati, Y Hou
Transportation Research Part C: Emerging Technologies 121, 102826, 2020
372020
Novel and practical method to quantify the quality of mobility: Mobility energy productivity metric
Y Hou, V Garikapati, A Nag, SE Young, T Grushka
Transportation Research Record 2673 (10), 141-152, 2019
372019
Speed limit effectiveness in short-term rural interstate work zones
Y Hou, P Edara, C Sun
Transportation Letters: The International Journal of Transportation Research …, 2013
312013
Cost-benefit analysis of sequential warning lights in nighttime work zone tapers.
C Sun, P Edara, Y Hou, A Robertson
Smart Work Zone Deployment Initiative, 2011
262011
Evaluation of variable advisory speed limits in congested work zones
P Edara, C Sun, Y Hou
Journal of Transportation Safety & Security 9 (2), 123-145, 2017
242017
Airport analyses informing new mobility shifts: Opportunities to adapt energy-efficient mobility services and infrastructure
A Henao, J Sperling, SE Young, V Garikapati, Y Hou
National Renewable Energy Lab.(NREL), Golden, CO (United States), 2018
212018
Quantifying the mobility and energy benefits of automated mobility districts using microscopic traffic simulation
L Zhu, V Garikapati, Y Chen, Y Hou, HMA Aziz, S Young
International Conference on Transportation and Development 2018, 98-108, 2018
192018
Exploring telematics big data for truck platooning opportunities
MP Lammert, B Bugbee, Y Hou, M Muratori, J Holden, AW Duran, A Mack, ...
National Renewable Energy Lab.(NREL), Golden, CO (United States), 2018
192018
Road network state estimation using random forest ensemble learning
Y Hou, P Edara, Y Chang
2017 IEEE 20th International Conference on Intelligent Transportation …, 2017
172017
Decentralized cooperative lane changing at freeway weaving areas using multi-agent deep reinforcement learning
Y Hou, P Graf
arXiv preprint arXiv:2110.08124, 2021
152021
Initial assessment and modeling framework development for automated mobility districts
Y Hou, SE Young, V Garikapati, Y Chen, L Zhu
National Renewable Energy Lab.(NREL), Golden, CO (United States), 2018
152018
A modular and transferable reinforcement learning framework for the fleet rebalancing problem
E Skordilis, Y Hou, C Tripp, M Moniot, P Graf, D Biagioni
IEEE Transactions on Intelligent Transportation Systems 23 (8), 11903-11916, 2021
132021
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