Journals

  1. F. Wu, and A. Bayen. “Shared-Weight Multi-Agent Reinforcement Learning for Decentralized Robot Coordination.” to be submitted to IEEE Transactions on Robotics. 2018.

  2. F. Wu, and D. Work. “Modelling Vehicular and Pedestrian Dynamics through Distilled Neural Networks.” to be submitted to IEEE Transactions on Intelligent Transportation Systems. 2019.

  3. R. Stern, Y. Chen, F. Wu, M. Churchill, and D. Work. “Quantifying air quality benefits resulting from few autonomous vehicles stabilizing traffic.” submitted to Transportation Research Part D: Transportation and the Environment. 2018.

  4. Y. Li, C. Chen, F. Wu, C. Claudel, D. Work. “A low-cost and energy-efficient traffic detection platform using passive infrared sensors.” submitted to IEEE Transactions on Intelligent Transportation Systems. 2017.

  5. F. Wu, R. Stern, S. Cui, M. L. Delle Monache, R. Bhadanid, M. Bunting, M. Churchill, N. Hamilton, R. Haulcy, B. Piccoli, B. Seibold, J. Sprinkle, D. Work. “Tracking vehicle trajectories and fuel rates in oscillatory traffic.” to appear in Transportation Research Part C: Emerging Technologies. 2017. Download: preprint.

  6. R. Stern, S. Cui, M. L. Delle Monache, R. Bhadani, M. Bunting, M. Churchill, N. Hamilton, R. Haulcy, H. Pohlmann, F. Wu, B. Piccoli, B. Seibold, J. Sprinkle, D. Work. “Dissipation of stop-and-go waves via control of autonomous vehicles: Field experiments.” in Transportation Research Part C: Emerging Technologies. 2017. Download: preprint.

Conferences

  1. A. Kreidieh, F. Wu, and A. Bayen. “Hierarchical Reinforcement Learning with Multiagent Augmentation.” to be submitted to International Conference on Machine Learning. 2019.

  2. F. Wu, A. Kreidieh, E. Vinitsky, and A. Bayen. “Augmented Driving: A Human-Machine Collaborative Acceleration Controller Attained from Pixel Learning and Evolution Strategies.” in European Control Conference. 2019.

  3. E. Vinitsky, A. Kreidieh, C. Wu, L. Flem, N. Kheterpal, K. Jang, C. Wu, F. Wu, R. Liawand, E. Liang, and A. Bayen. “Benchmarks for reinforcement learning in mixed-autonomy traffic.” in Conference on Robot Learning. 2018.

  4. F. Wu, and D. Work. “Connections between classical car following models and artificial neural networks.” in IEEE International Conference on Intelligent Transportation Systems. 2018. Download: preprint.

  5. F. Wu, R. Stern, M. Churchill, M. L. Delle Monache, Han, Piccoli, and D. Work. “Measuring Trajectories and Fuel Consumption in Oscillatory Traffic: Experimental Results.” in Proceedings of the Transportation Research Board Annual Meeting. 2017. Download: preprint.

Presentations

  1. F. Wu, and D. Work. “Connections between Car-Following Models and Neural Networks.” IEEE Intelligence Transportation Systems Conference. Maui, HI. November 7, 2018.

  2. F. Wu. “A Tutorial on Simulation of Urban Mobility.” IEEE Intelligence Transportation Systems Conference. Maui, HI. November 4, 2018.

  3. F. Wu. “Hybrid microscopic traffic modeling using a classic car following model and a corrective neural noise model.” DDETFP Research Showcase. Washington DC. January 9, 2018.

  4. F. Wu, P. Chavali, I. Singh and R. Brunner. “Deep Learning Panel.” Big Data Summit. Champaign, IL. November 9, 2017.

  5. R. Stern, F. Wu, M. Churchill, and D. Work. “Controlling Stop and Go Traffic with a Single Autonomous Vehicle: Experimental Results.” Society for Industrial and Applied Mathematics. Pittsburgh, PA. July 14, 2017.

  6. R. Stern, F. Wu, M. Churchill, and D. Work. “Dampening vehicle traffic waves with a low fraction of autonomous vehicles.” Coordinated Science Lab Student Conference. Urbana, IL. February 16-17, 2017.

  7. F. Wu, R. Stern, M. Churchill, and D. Work. “Fuel consumption in oscillatory traffic: experimental results.” Transportation Research Board Annual Meeting. Washington DC. January 8-12, 2017.

  8. R. Stern, F. Wu, M. Churchill, and D. Work. “Dampening traffic waves with autonomous vehicles: theoretical and experimental results.” Conference on Integrated Transport. Stockholm, Sweden. November 29-30, 2016.

Media

  1. “Watch just a few self-driving cars stop traffic jams.” Science. November 16, 2018.

  2. “A Single Autonomous Car Has a Huge Impact on Alleviating Traffic.” MIT Technology Review. May 10, 2017.

  3. “Taxi GPS data helps researchers study Hurricane Sandy's effect on NYC traffic.” Engineering at Illinois. October 25, 2014.