Principal Investigator

Bernardo Pires

Status

Completed

Start Date

Jan. 1, 2016

End Date

Jan. 1, 2017

Project Type

Research Advanced

Grant Program

Private Funding

Grant Cycle

2016 Traffic21

Visibility

Public

Abstract

Adaptive traffic lights have the potential to significantly facilitate car travel and reduce congestion. However other road users, especially pedestrians, may suffer longer wait times if they are not taken into account by the adaptive algorithms. The objective of this project is to bring greater insight on the impact of such smart traffic light systems to the pedestrian flow at key Pittsburgh intersections. The project leverages systems and methods developed in previous T-SET projects to quickly collect relevant statistics on stakeholders in the City of Pittsburgh, Bike Pittsburgh organization, and the Surtrac team.    

Description

-

Timeline

-

Strategic Description / RD&T

Deployment Plan

-

Expected Outcomes/Impacts

-

Expected Outputs

TRID

Individuals Involved

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

Budget

Amount of UTC Funds Awarded

$23000.00

Total Project Budget (from all funding sources)

$23000.00

Documents

Type	Name	Uploaded
Final Report	126_-_Pires_PedWaitTimes_FinalReport.docx	June 19, 2018, 4:38 a.m.

Match Sources

No match sources!

Partners

No partners!