ABSTRACT : In this talk, we will discuss the integration of vehicular sensing and urban sensing to assess the operation, performance and environmental impact of vehicles in urban settings. We have designed an integrated framework for vehicular and urban sensing which incorporates human feedback and decision. A prototype implementation of this framework, called the BusSense system, has been developed based on the campus shuttle bus system. We will explain the framework architecture and design. We discuss the design and implementation of the BusSense system, focusing on its hardware platform and software architecture. We present tools for modeling the system based on Hidden Markov Models. These models are used for detecting events and identifying patterns in the vehicular pollution data. We also present the modeling results and analysis based on experimental data. BIODATA: Hock Beng Lim is program director of the Intelligent Systems Center at Nanyang Technological University, Singapore. He received his BS in Computer Engineering, MS in Electrical Engineering, and PhD in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign, and his MS in Management Science and Engineering from Stanford University. His research interests include sensor networks and sensor grids, cyber-physical systems, cloud computing, parallel and distributed computing, wireless and mobile networks, computer architecture, embedded systems, performance evaluation, e-Science and high-performance computing.