Colin Keng-Yan Tan

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About

Colin Keng-Yan Tan is a researcher at the forefront of intelligent transportation and autonomous systems, with a core focus on mobility-on-demand (MoD) and decentralized data fusion. His major contributions lie in enhancing the autonomy of shared vehicle fleets, specifically by integrating Gaussian process-based methods to enable robotic vehicles to actively sense their environment and make decentralized decisions. This work addresses the critical challenge of one-way vehicle sharing in dense urban settings, where efficient fleet coordination is essential for sustainability. Tan’s most cited paper, "Gaussian Process-Based Decentralized Data Fusion and Active Sensing for Mobility-on-Demand System" (2013), has accumulated 33 citations, reflecting its foundational impact on the field. A closely related follow-up work, also from 2013, has garnered 15 citations, further solidifying his influence in autonomous MoD systems. By pioneering techniques that allow vehicles to autonomously cruise and be hailed, Tan has contributed to a paradigm shift in personal urban mobility, bridging robotics and transportation engineering. His research offers a compelling vision of sustainable, self-organizing urban transit, making him a notable figure in the evolution of smart city infrastructure.