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Project

#122 Automatic Counting of Pedestrians and Cyclists


Principal Investigator
Bernardo Pires
Status
Completed
Start Date
Jan. 1, 2015
End Date
Dec. 31, 2015
Project Type
Research Advanced
Grant Program
MAP-21 TSET - Tier 1 (2012 - 2016)
Grant Cycle
2015 TSET UTC
Visibility
Public

Abstract

The goal of this project is to provide actionable data for government officials and advocates that promote bicycling and walking. Although the health and environmental benefits of a non-automobile commute are well known, it is still difficult to understand how to get more people to take up active transportation. Infrastructure can have a dramatic effect on cycling and waling adoption, but represents a significant outlay of government resources. Thus, concrete usage statistics are paramount for assessing and optimizing such spending. This project will create a vision-based cyclist and pedestrian counting system that will allow for automatic and human-assisted data collection and analysis. Unlike traditional non-vision counting methods, our system has the potential for much higher accuracy while providing valuable usage and demographic data that simply cannot be collected by other sensors.    
Description
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Timeline
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Strategic Description / RD&T

    
Deployment Plan
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Expected Outcomes/Impacts
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Expected Outputs

    
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Individuals Involved

Email Name Affiliation Role Position
bpires@cmu.edu Pires, Bernardo Robotics Institute PI Faculty - Tenured

Budget

Amount of UTC Funds Awarded
$99240.00
Total Project Budget (from all funding sources)
$99240.00

Documents

Type Name Uploaded
Final Report Automatic_Counting_of_Pedestrians.pdf April 2, 2018, 5:15 a.m.
Publication Greensburg Vehicle and Pedestrian Study: South Main Street between West Otterman and Pittsburgh Street. Dec. 2, 2020, 10:33 a.m.

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