Francisco C. Pereira
Papers
2
Total Citations
13
H-Index
2
About
Francisco C. Pereira is a leading researcher at the intersection of autonomous systems, urban mobility, and intelligent transportation. His work focuses on understanding how pedestrians and cyclists interact with autonomous vehicles, automated buses, and delivery robots—critical for designing safe, inclusive cities. Pereira’s literature review on controlled experiments analyzing these behaviors (2025, 7 citations) provides foundational insights for predicting and modeling vulnerable road user interactions with autonomous systems. He also advances algorithmic solutions for Autonomous Mobility-on-Demand (AMoD) systems, notably through his work on Graph Neural Network Reinforcement Learning (2021, 6 citations), which optimizes fleet coordination and dynamic ride-sharing in complex transportation networks. By combining graph-based representations with reinforcement learning, Pereira addresses key challenges in real-time, large-scale vehicle routing. His contributions are shaping the future of sustainable urban mobility, ensuring that autonomous systems are not only efficient but also safe and equitable for all road users.
Research Focus
Key Achievements
Top Papers
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