Smart Columbus Self-Driving Shuttle Project - Easy Mile

This dataset contains multiple datasets from the Linden Deployment of the Smart Columbus Self-Driving Shuttle Project as provided by EasyMile, including Connected Electric Autonomous Vehicle (CEAV) shuttle state, vehicle positions, and data pertaining to the Linden Deployment route, areas, intersections, and stations. Additional data relating to the Smart Columbus Self-Driving Shuttle Project can be found in the SMRT Program Dataset.

The CEAV shuttle combines sensors and intelligent software to help them understand where they are and when to accelerate or stop for something in their path. An operator rides aboard each vehicle to oversee the technology. It’s estimated that the shuttles could serve up to 90 people per hour and the route is anticipated to take 20 minutes to complete. The self-driving shuttle launched in November 2019 and is free to ride. These CEAV usage and customer survey data will act a complementary datasets in understanding the impact of CEAV in serving as the First Mile Last Mile (FMLM) option and improving modal ridership and shift. Prospective deployment sites could tailor their implementation based on the analysis findings.

Data and Resources

Field Value
accessLevel public
bureauCode {021:15}
catalog_@context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
catalog_@id https://data.transportation.gov/data.json
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
identifier https://data.transportation.gov/api/views/747a-gfi9
issued 2020-02-05
landingPage https://smart.columbus.gov/projects/self-driving-shuttles
language {en-US}
license http://creativecommons.org/licenses/by-sa/4.0/legalcode
modified 2021-05-13
programCode {021:013}
publisher Federal Highway Administration
resource-type Dataset
source_datajson_identifier true
source_hash 2385242e18e91e31703f128ec9244b41e108ad6b
source_schema_version 1.1
theme {Transit}
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • amerigeo
  • amerigeoss
  • autonomous
  • ckan
  • connected-electric-autonomous-vehicle-ceav
  • easy-mile
  • electric
  • first-mile-last-mile
  • geo
  • geoss
  • intelligent-transportation-systems-its
  • its-joint-program-office-jpo
  • linden
  • national
  • north-america
  • ohio
  • shuttle
  • smart-columbus
  • transit
  • united-states
isopen False
license_id other-license-specified
license_title other-license-specified
maintainer Easy Mile Inquiries
maintainer_email info@easymile.com
metadata_created 2025-11-19T18:30:08.399253
metadata_modified 2025-11-19T18:30:08.399259
notes This dataset contains multiple datasets from the Linden Deployment of the Smart Columbus Self-Driving Shuttle Project as provided by EasyMile, including Connected Electric Autonomous Vehicle (CEAV) shuttle state, vehicle positions, and data pertaining to the Linden Deployment route, areas, intersections, and stations. Additional data relating to the Smart Columbus Self-Driving Shuttle Project can be found in the <a href="https://data.transportation.gov/d/r5gt-nccp">SMRT Program Dataset</a>. The CEAV shuttle combines sensors and intelligent software to help them understand where they are and when to accelerate or stop for something in their path. An operator rides aboard each vehicle to oversee the technology. It’s estimated that the shuttles could serve up to 90 people per hour and the route is anticipated to take 20 minutes to complete. The self-driving shuttle launched in November 2019 and is free to ride. These CEAV usage and customer survey data will act a complementary datasets in understanding the impact of CEAV in serving as the First Mile Last Mile (FMLM) option and improving modal ridership and shift. Prospective deployment sites could tailor their implementation based on the analysis findings.
num_resources 14
num_tags 20
title Smart Columbus Self-Driving Shuttle Project - Easy Mile