| Dispatch of Autonomous Vehicles for Taxi Services: A Deep Reinforcement Learning Approach C Mao, Y Liu, ZJM Shen Transportation Research Part C: Emerging Technologies 115, 102626, 2020 | 93 | 2020 |
| Predicting Aircraft Trajectories: A Deep Generative Convolutional Recurrent Neural Networks Approach Y Liu, M Hansen https://arxiv.org/abs/1812.11670, 2018 | 82 | 2018 |
| Using Machine Learning to Analyze Air Traffic Management Actions: Ground Delay Program Case Study Y Liu, Y Liu, M Hansen, A Pozdnukhov, D Zhang Transportation Research Part E: Logistics and Transportation Review 131, 80-95, 2019 | 44 | 2019 |
| Predicting Aircraft Trajectory Choice -- A Nominal Route Approach Y Liu, M Hansen, D Lovell, M Ball 8th International Conference for Research in Air Transportation (ICRAT2018), 2018 | 30 | 2018 |
| Quantity-Contingent Auctions and Allocation of Airport Slots MO Ball, AS Estes, M Hansen, Y Liu Transportation Science 54 (4), 858-881, 2020 | 22 | 2020 |
| Modeling Go-Around Occurrence Using Principal Component Logistic Regression L Dai, Y Liu, M Hansen Transportation Research Part C: Emerging Technologies 129, 103262, 2021 | 19 | 2021 |
| Economic Costs of Air Cargo Flight Delays Related to Late Package Deliveries Y Liu, M Yin, M Hansen Transportation Research Part E: Logistics and Transportation Review 125, 388-401, 2019 | 18 | 2019 |
| Causal Analysis of En Route Flight Inefficiency–the US Experience Y Liu, M Hansen, DJ Lovell, C Chuang, MO Ball, JM Gulding 12th USA/Europe Air Traffic Management Research and Development Seminar …, 2017 | 17 | 2017 |
| Modelling Go-Around Occurrence L Dai, Y Liu, M Hansen 13th USA/ Europe Air Traffic Management Research and Development Seminar …, 2019 | 14 | 2019 |
| Causal Analysis of Flight En Route Inefficiency Y Liu, M Hansen, MO Ball, DJ Lovell Transportation Research Part B: Methodological 151, 91-115, 2021 | 11 | 2021 |
| Modeling Household Online Shopping Demand in the US: A Machine Learning Approach and Comparative Investigation between 2009 and 2017 L Barua, B Zou, Y Zhou, Y Liu Transportation, 1-40, 2021 | 7 | 2021 |
| Predicting Go-around Occurrence with Input-Output Hidden Markov Model L Dai, Y Liu, M Hansen 9th International Conference for Research in Air Transportation (ICRAT2020), 2020 | 6 | 2020 |
| Modeling Ground Delay Program Incidence using Convective and Local Weather Information Y Liu, M Hansen, D Zhang, Y Liu, A Pozdnukhov Twelfth USA/Europe Air Traffic Management Research and Development Seminar, 2017 | 5 | 2017 |
| Comparison of agent-based modeling and equation-based modeling for transportation behavioral studies C Mao, M Zou, Y Liu, W Xue, M Li CICTP 2015, 3610-3625, 2015 | 5 | 2015 |
| En route performance in the national airspace system M Hansen, Y Liu, C Chuang, D Lovell, MO Ball 96th Transportation Research Board Annual Meeting, 2017 | 4 | 2017 |
| Estimating Costs of Flight Delay for Air Cargo Operations Y Liu, M Yin, M Hansen 7th International Conference for Research in Air Transportation (ICRAT2016), 2016 | 4 | 2016 |
| Evaluating impact of flight delay on cargo and overnight package delivery firms M Yin, Y Liu, M Hansen 94th Transportation Research Board Annual Meeting, 1-15, 2015 | 3* | 2015 |
| On the Existence of System-Optimum–Inducing Tolling Functions for Transportation Networks X Lin, F He, M Li, Y Liu Transportation Science 54 (6), 1535-1554, 2020 | 1 | 2020 |
| In Search of the Upper Limit to Air Traffic Control Communication L Dai, Y Liu, M Hansen 8th International Conference for Research in Air Transportation (ICRAT2018), 2018 | 1 | 2018 |
| Trajectory Modeling in the National Airspace System: Data Mining, Inference, and Deep Generative Models Y Liu UC Berkeley, 2020 | | 2020 |
Michael BallProfessor of Management Science, University of MarylandVerified email at umd.edu
