Explore crowd-sourced mobile urban sensing deployed in Beijing through this Stanford seminar featuring Zhang Lin from Tsinghua University. Delve into the challenges of understanding and monitoring air pollution in Beijing's central area, examining data collection methods, system deployment, and experimental results. Discover innovative technologies like compressive sensing and their application in tracking carbon monoxide diffusion. Gain insights into the computational and data infrastructure required for large-scale urban sensing projects, as well as the associated power consumption challenges. This talk is part of a series on "Green Technologies in Transportation: Recent Developments from Asia," offering valuable perspectives on technology and business trends, innovations, and opportunities in the region.
Overview
Syllabus
Introduction
Central Area of Beijing
Air Pollution in Beijing
How do we understand the city
Challenges
Data Collection
System Deployment
Technology
Experiment
Results
Scaling
Problem
Example
Pollution
Compressive Sensing
Diffusion of Carbon Monoxide
Computational Infrastructure
Data Infrastructure
Computational Power
Power Consumption
Summary
Questions
Taught by
Stanford Online
