Duo Lu

Papers

Total Citations

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About

Duo Lu is a researcher whose work sits at the intersection of autonomous vehicles, intelligent transportation systems, and vehicular networking. His research focuses on how smart vehicles—equipped with advanced computing, sensing, and communication capabilities—can transform safety, efficiency, and data sharing on the road. Lu’s most-cited paper, “VC-bots” (2016, 23 citations), explores the potential of smart vehicles as mobile sensing and computing platforms, enabling applications from traffic optimization to insurance estimation. His follow-up work, “Platooning as a service of autonomous vehicles” (2017, 21 citations), introduces the concept of offering vehicle platooning as a scalable service, leveraging vehicle-to-vehicle communication and autonomous driving to improve fuel efficiency and road capacity. Together, these contributions have laid important groundwork for the practical deployment of connected and autonomous vehicle systems. Lu’s research is notable for bridging theoretical models with real-world service-oriented architectures, making his work relevant to both academic researchers and industry practitioners working toward safer, smarter transportation.