Evaluating the Effectiveness of Computer Vision Systems Mounted on Shared Electric Kick Scooters to Reduce Sidewalk Riding

This project will evaluate the effectiveness of the Drover AI computer vision system to alert electric kick scooter users when they are riding on sidewalks and change their riding behavior.

• Record URL:
  https://c2smart.engineering.nyu.edu/evaluating-remote-repositioning-for-shared-scooters/

Language

• English

Project

• Status: Completed
• Funding: $127500
• Contract Numbers:

  USDOT 69A3551747124

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Managing Organizations:

  Connected Cities for Smart Mobility towards Accessible and Resilient Transportation Center (C2SMART)

  New York University
  Tandon School of Engineering
  Brooklyn, NY  United States 
• Performing Organizations:

  Connected Cities for Smart Mobility towards Accessible and Resilient Transportation Center (C2SMART)

  New York University
  Tandon School of Engineering
  Brooklyn, NY  United States 
• Principal Investigators:

  MacKenzie, Don

• Start Date: 20210301
• Expected Completion Date: 20230228
• Actual Completion Date: 20230430
• USDOT Program: University Transportation Centers

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Benefit cost analysis; Evaluation; Pilot studies; Scooters; Vehicle sharing
• Subject Areas: Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01768985
• Record Type: Research project
• Source Agency: Connected Cities for Smart Mobility towards Accessible and Resilient Transportation Center (C2SMART)
• Contract Numbers: USDOT 69A3551747124
• Files: UTC, RIP
• Created Date: Apr 1 2021 7:49PM