Rodriguez, Daniel
(2022)
Evaluating the Quality of Automatic Pedestrian Detection at Major Arterial Intersection.
Master's Thesis, University of Pittsburgh.
(Unpublished)
Abstract
Improvements in detection technology can provide full actuation for vehicles and pedestrians at a
signalized intersection. The goal of this study was to assess the accuracy of an automatic camera detection
system from GRIDSMART to detect pedestrians and make calls to the controller to provide pedestrian
phases only when needed. Manual actuation has been proven ineffective due to individual behavior, so
automatic detection is of interest as a solution in lower pedestrian areas to improve signal operations for all
users. Video from the GRIDSMART system was analyzed to determine the accuracy of pedestrian
detection. The detection system was not capable of accurately counting pedestrians due to vehicle
interference and configuration issues. Pedestrian calls were made only for those who came to a stop in the
detection zones. Weather and time of day also impacted accuracy with errors increasing during night and
rainy conditions. The detection system averaged 2.4 calls/pedestrian which resulted in unnecessary
pedestrian phases. A VISSIM model was created to determine the effects on vehicle delay from the current
operations, and to determine the most appropriate pedestrian treatment for the subject intersection. Vehicle
volumes on the critical approaches are significant enough that pedestrian green times do not extend the
vehicle phases when no demand is present. The detection errors did not lead to statistically significant delay
increases for vehicles or pedestrians, but there was no benefit identified. For this specific case, the
intersection can be operated under pedestrian recall without increasing vehicle delay, even for low
pedestrian volumes. For higher pedestrian volumes that can be expected in peak conditions, pedestrian
recall would also be an appropriate signal operation. The detection software does not appear suited for
controlling pedestrian crossings until improvements are made. Other intersections where pedestrian recall
would increase vehicle delays may prove to be better candidates.
Share
| Citation/Export: |
|
| Social Networking: |
|
Details
| Item Type: |
University of Pittsburgh ETD
|
| Status: |
Unpublished |
| Creators/Authors: |
|
| ETD Committee: |
|
| Date: |
10 June 2022 |
| Date Type: |
Publication |
| Defense Date: |
29 March 2022 |
| Approval Date: |
10 June 2022 |
| Submission Date: |
16 March 2022 |
| Access Restriction: |
No restriction; Release the ETD for access worldwide immediately. |
| Number of Pages: |
107 |
| Institution: |
University of Pittsburgh |
| Schools and Programs: |
Swanson School of Engineering > Civil and Environmental Engineering |
| Degree: |
MSCE - Master of Science in Civil Engineering |
| Thesis Type: |
Master's Thesis |
| Refereed: |
Yes |
| Uncontrolled Keywords: |
gridsmart, pedestrian treatments, pedestrian recall, actuated signal operations, signalized intersection, automatic detection, manual actuation, automatic actuation, |
| Date Deposited: |
10 Jun 2022 18:46 |
| Last Modified: |
10 Jun 2022 18:46 |
| URI: |
http://d-scholarship.pitt.edu/id/eprint/42365 |
Metrics
Monthly Views for the past 3 years
Plum Analytics
Actions (login required)
 |
View Item |
![[feed]](/images/feed-icon-32x32.png){kind=icon}