Max Robotics — Global Service Robot Directory + US Certification

About

Pan Lu is a researcher whose work bridges transportation engineering and artificial intelligence, with a particular focus on traffic flow modeling, autonomous vehicle (AV) behavior, and human-computer interaction in intelligent systems. His most influential contribution, a 2021 comprehensive review of car-following models for human and autonomous-ready driving behaviors in micro-simulation, has amassed an impressive 143 citations, establishing him as a key voice in the field of microscopic traffic modeling. This work provides a critical framework for understanding how AVs and connected autonomous vehicles (CAVs) behave differently from human-driven vehicles, offering researchers and engineers practical tools for simulation-based analysis. Lu has also ventured into the intersection of natural language processing and social cognition, contributing to the development of SocAoG, an incremental graph-parsing framework for inferring social relations in dialogues—work that advances emotionally intelligent AI systems. His 2023 paper on cumulatively anticipative car-following models further demonstrates his commitment to improving AV safety in mixed-traffic environments, a critical challenge as autonomous vehicles become more prevalent on public roads. Across these domains, Lu's research consistently addresses real-world deployment challenges, making his work highly relevant to both academic and applied communities.