1. Measurement: Understanding mobility patterns
Accurately evaluating the current state of the transportation network and mobility patterns is the first step to improving mobility. This involves gathering and analyzing real-time and historical data from various sources to understand both current and historical conditions and trends. We need to track the effects of changes as we implement them in the network. ML powers estimations and metric computations, while statistical…
Article Source
https://research.google/blog/introducing-mobility-ai-advancing-urban-transportation/
