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 | 234 | 2013 |
Traffic flow forecasting for urban work zones Y Hou, P Edara, C Sun IEEE transactions on intelligent transportation systems 16 (4), 1761-1770, 2014 | 160 | 2014 |
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 | 151 | 2015 |
Network scale travel time prediction using deep learning Y Hou, P Edara Transportation Research Record 2672 (45), 115-123, 2018 | 82 | 2018 |
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 | 76 | 2020 |
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 | 56 | 2012 |
A genetic fuzzy system for modeling mandatory lane changing Y Hou, P Edara, C Sun 2012 15th International IEEE Conference on Intelligent Transportation …, 2012 | 54 | 2012 |
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 | 42 | 2020 |
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 | 37 | 2020 |
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 | 37 | 2019 |
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 | 31 | 2013 |
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 | 26 | 2011 |
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 | 24 | 2017 |
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 | 21 | 2018 |
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 | 19 | 2018 |
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 | 19 | 2018 |
Road network state estimation using random forest ensemble learning Y Hou, P Edara, Y Chang 2017 IEEE 20th International Conference on Intelligent Transportation …, 2017 | 17 | 2017 |
Decentralized cooperative lane changing at freeway weaving areas using multi-agent deep reinforcement learning Y Hou, P Graf arXiv preprint arXiv:2110.08124, 2021 | 15 | 2021 |
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 | 15 | 2018 |
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 | 13 | 2021 |