SharedStreets pilots are powered by collaboration between cities and private sector innovators. Our pilots projects produce standardized and replicable data models and reusable open source tools that help cities and of all sizes follow in others’ footsteps, and build crucial partnerships between the public and private sectors.
Using anonymized and aggregated data on for-hire vehicle pick-up and drop-off is helping cities better manage curb
use in a way that protects user privacy. SharedStreets aggregates and anonymizes data about pick-up and drop-off
before it ever leaves the company’s servers.
DC DFHV, Uber, Lyft, DCDOT
Utilizes the SharedStreets Matcher and related data aggregation standards.
The SharedStreets data standards allow cities to map their curb regulations and leverage other data sets
like speed and for-hire pick-up and drop-off data to better understand curb use. With this tool, cities can
reduce idling and circling vehicles, redesign streets to best match current demand, and lay the foundation
for new dynamic pricing to better manage city streets.
Ford, Seattle DOT
Utilizes the SharedStreets GIS Conflation API and linear referencing standards.
SharedStreets is working to aggregate vehicle speed data from in-vehicle sensors to provide cities data on vehicle
speeds to better understand their streets and congestion. This pilot is currently underway and more information
will be available as we make progress.
Uber, cities TBA
We’re working with cities and private sector partners to use the SharedStreets linear referencing system to produce
standarized data on constructions, closures and incidents.