This document discusses how big data can provide insights into traffic congestion and transportation issues. It notes that big data refers to extremely large data sets that are difficult to analyze using traditional methods. Examples of big data related to transportation include GPS data from over 100 million vehicles and devices used to measure traffic congestion levels, costs, and travel times more accurately than distances. The document outlines how big data is enabling more accurate out-of-home advertising measurement, economic forecasting at local levels, accounting for travel times instead of just distances, and enhanced real estate analysis based on drive times to locations.