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Neda Masoud

University of Michigan

57

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565

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Predicting Risky Driving in a Connected Vehicle Environment

2022 IEEE Transactions on Intelligent Transportation Systems
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Digital twin-driven deep reinforcement learning for adaptive task allocation in robotic construction

2022 Advanced Engineering Informatics
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A Learning-Based Method for Predicting Heterogeneous Traffic Agent Trajectories: Implications for Transfer Learning

2021 ITSC | International Conference on Intelligent Transportation Systems
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Integrated digital twin and blockchain framework to support accountable information sharing in construction projects

2021 Automation in Construction
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Trajectory Planning for Connected and Automated Vehicles: Cruising, Lane Changing, and Platooning

2021
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Adversarial Online Learning With Variable Plays in the Pursuit-Evasion Game: Theoretical Foundations and Application in Connected and Automated Vehicle Cybersecurity

2021 IEEE Access
- Yiyang Wang
- Neda Masoud
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Using subsidies to stabilize peer-to-peer ridesharing markets with role assignment

2020 Transportation Research Part C-emerging Technologies
- Amirmahdi Tafreshian
- Neda Masoud
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Anomaly Detection in Connected and Automated Vehicles using an Augmented State Formulation

2020 arXiv: Robotics
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Trip-based graph partitioning in dynamic ridesharing

2020 Transportation Research Part C-emerging Technologies
- Amirmahdi Tafreshian
- Neda Masoud
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Frontiers in Service Science: Ride Matching for Peer-to-Peer Ride Sharing: A Review and Future Directions

2020 Service science
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