Boston’s SMART project seeks to create a citywide, public-facing map and database of real-time curb regulations.
LEARN
SMART Curb Collaborative City Showcase: Buffalo
The City of Buffalo’s SMART grant project will collect data on the utilization of the curb as well as all curbside assets in three target areas of the City.
SMART Curb Collaborative City Showcase: Philadelphia
Philadelphia’s SMART grant project will establish a digital twin of the right-of-way, and use this dataset to provide curb users with real-time data.
SMART Curb Collaborative Showcase: Miami-Dade County
Miami Dade County’s project will establish managed curbside “hubs” to improve safety and efficiency for all delivery vehicles, while also gathering data to inform future interventions.
SMART Curb Collaborative City Showcase: Minneapolis
Minneapolis’ SMART grant project focuses on the creation of open source APIs related to curb regulations and realtime and historical usage.
SMART Curb Collaborative City Showcase: San Francisco
San Francisco’s SMART grant project will create a citywide map of curb regulations and make the information available via analytical tools, maps, and an open data feed.
SMART Curb Collaborative City Showcase: Los Angeles
By digitizing the curb assets and implementing dynamic pricing and real-time curb availability, LADOT aims to increase delivery efficiency, optimize street parking for customers and businesses, reduce greenhouse gas emissions, and reduce unsafe parking occurrences.
SMART Curb Collaborative City Showcase: San José
San Jose’s SMART grant project involves both digital inventory and utilization practices to understand curb use in downtown areas and provide real-time curb use information.
SMART Curb Collaborative City Showcase: Portland
Portland’s SMART grant project will help establish its first-in-nation Zero Emission Delivery Zone
SMART Curb Collaborative City Showcase: Seattle
Seattle is using its USDOT SMART grant to advance work to provide reliable, modernized curb access for commercial vehicles using a collaborative, data-driven approach.