Research

Trajectory Predictions

  • Predicting Aircraft Trajectories: A Deep Generative Convolutional Recurrent Neural Networks Approach. Paper available on arXiv. Source code available on GitHub. (with Mark Hansen)

  • Predicting Aircraft Trajectory Choice - A Nominal Route Approach. (Best Paper Award) 8th International Conference for Research in Air Transportation, Barcelona, Spain, 2018. (with Mark Hansen, Michael O. Ball, and David J. Lovell)

Project details can be found at NEXTOR II website.

Example Prediction Results

Feature Cube Path

Sample Wind Speed Diagram

Flight En Route Performance Analysis

  • Causal Analysis of En Route Flight Inefficiency. Liu, Y., Hansen, M., Ball, M., Lovell, D. (2021), Causal Analysis of En Route Flight Inefficiency. Transportation Research Part B: Methodological, 151, pp.91-115.

  • Causal Analysis of En Route Flight Inefficiency - the US Experience. 12th USA/ Europe Air Traffic Management Research and Development Seminar, Seattle, WA, USA, 2017. Paper available on ATM Seminar Page. Source code available at GitHub. (with Mark Hansen, Michael O. Ball, David J. Lovell, John Gulding, and Cara Chuang)

  • En Route Performance in the National Airspace System. 96th Transportation Research Board Annual Meeting, Washington D.C., USA, 2017. (with Mark Hansen, Michael O. Ball, David J. Lovell, and Cara Chuang)

  • An Econometric Model of Flight En Route Inefficiency. 98th Transportation Research Board Annual Meeting, Washington D.C., USA, 2019. (with Mark Hansen)

Project details can be found at NEXTOR II website.

Nominal Traffic Flows from IAH to BOS Airport

Nominal Traffic Flows from JFK to FLL Airport

Auctions and Mechanism Design

  • Quantity-Contingent Auctions and Allocation of Airport Slots. Ball, M.O., Estes, A., Hansen, M., Liu, Y. (2020), Transportation Science, 54 (4), 858-881. Paper available on SSRN. (with Mark Hansen, Michael O. Ball, and Alexander S. Estes)

Dispatch of Autonomous Vehicles for Taxi Services

  • Dispatch of Autonomous Vehicles for Taxi Services: A Deep Reinforcement Learning Approach. Transportation Research Part C, 115, 102626. (with Chao Mao and Zuo-Jun (Max) Shen).

Policy Networks

Manhattan 8 zones

Passenger Waiting Time as the Results of Feed-Forward Pass of the Pre-Trained Policy Network (6:00 AM - 10:00 AM)

Air Traffic Flow Management

  • Using Machine Learning to Analyze Air Traffic Management Actions: Ground Delay Program Case Study. Transportation Research Part E: Logistics and Transportation Review, 131 (2019): 80-95. (with Mark Hansen, Yi Liu, Alexey Pozdnukhov, and Danqing Zhang)

  • Modeling Ground Delay Program Incidence using Convective and Local Weather Information. (Best Paper Award) 12th USA/ Europe Air Traffic Management Research and Development Seminar, Seattle, WA, USA, 2017. (with Mark Hansen, Yi Liu, Alexey Pozdnukhov, and Danqing Zhang)

SVM-generated regional convective weather impact index to the GDP instance

Model transferability across airports

Cost of Flight Delay to Air Cargo Carriers

  • Economic costs of air cargo flight delays related to late package deliveries. Transportation Research Part E: Logistics and Transportation Review, 125 (2019): 388-401. (with Mark Hansen and Mogeng Yin)

  • Evaluating Impact of Flight Delay on Cargo and Overnight Package Delivery Firms. 94th Transportation Research Board Annual Meeting, Washington D.C., USA, 2015. (with Mark Hansen and Mogeng Yin)

  • Estimating Costs of Flight Delay for Air Cargo Operations. (Best Paper Award) 7th International Conference for Research in Air Transportation, Barcelona, Spain, 2018. (with Mark Hansen and Mogeng Yin)

Project details can be found at NEXTOR II website.

Other Projects

  • In Search of the Upper Limit to Air Traffic Control Communication. 8th International Conference for Research in Air Transportation, Barcelona, Spain, 2018. (with Mark Hansen, and Lu Dai)

  • Modelling Go-Around Occurrence. 13th USA/ Europe Air Traffic Management Research and Development Seminar, Vienna, Austria, 2019. (with Mark Hansen, and Lu Dai)

  • On the Existence of System-optimum-inducing Tolling Functions for Transportation Networks. To appear at Transportation Science. (with Meng Li, Fang He, and Xi Lin)

  • Real-time Multi-Agent Unmanned Aerial Vehicle Coordination Advisor. In preparation. (with Mark Hansen, Xuxi Yang and Peng Wei)

  • Deep Reinforcement Learning for Inventory Control. In preparation. (with Sheng Liu)

  • Similar Days Package Development. NASA Invention and New Technology under case number ARC-18278-1. (with Sreeta Gorripaty and Mark Hansen)