Publications

Abduallah Mohamed, Jundi Liu, Linda N. Boyle, Christian Claudel (2023). FollowMe: Vehicle Behaviour Prediction in Autonomous Vehicle Settings. arXiv preprint arXiv:2304.06121.

Jundi Liu, Linda N. Boyle (2022). Analysis of Driver Behavior in Mixed Autonomous and Non-autonomous Traffic Flows. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2022.

Jundi Liu, Linda N. Boyle, Ashis G. Banerjee (2022). An Inverse Reinforcement Learning Approach for Customizing Automated Lane Change Systems. IEEE Transactions on Vehicular Technology 71.9 (2022).

Jundi Liu, Kumar Akash, Teruhisa Misu, Xingwei Wu (2021). Clustering Human Trust Dynamics for Customized Real- time Prediction. 24th ieee international intelligent transportation systems conference (ITSC), 2021.

Jundi Liu, Steven Hwang, Joel D Neidig, Scott M Hartford, Linda N. Boyle, Ashis G. Banerjee (2020). A Predictive Analytics Tool to Provide Visibility Into Completion of Work Orders in Supply Chain Systems. Journal of Computing and Information Science in Engineering 20.3 (2020).

Jundi Liu, Linda N. Boyle, Ashis G. Banerjee (2018). Predicting Interstate Motor Carrier Crash Rate Level using Classification M odels. Accident Analysis and Prevention 120 (2018): 211-218.

Jundi Liu, Steven Hwang, Walter Yund, Linda N. Boyle, Ashis G. Banerjee (2018). Predicting Purchase Orders Delivery Times using Regression Models with Dimension Reduction. ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 2018.

Niyousha Rahimi, Jundi Liu, Andrey Shishkarev, Ilya Buzytsky, Ashis G. Banerjee (2018). Auction Bidding Methods for Multi-Agent Consensus Optimization in Supply-Demand Networks. IEEE Robotics and Automation Letters 3.4 (2018): 4415-4422.