Measuring Pollution Benefits from Congestion Pricing Initiatives
Description
Using real-time big data from Los Angeles freeways on traffic and Aclima data on pollution measurements, this project will estimate the links between speed and pollution. Estimating this relationship properly is crucial for knowing the benefits that congestion pricing may generate in terms of pollution reduction. Computer Science methods will be used to guide the choice of policy intervention and guide prediction.
Advisors
Skills Required by the team
- Machine Learning
- R