Testing Pedestrian Flow and Delay Estimation from First-Actuation Latency

Traffic signal controllers timestamp the first pedestrian actuation that requests service, but they do not count the people arriving before the Walk indication. We test a theory-based estimator that treats the time from flashing-don’t-walk onset to first actuation as a censored waiting-time observation from a Poisson arrival-event process. The inferred event count and delay are calibrated separately to observed pedestrian counts and observed delay. Fourteen manually observed cases give mean adjustments of 2.202 for counts and 2.176 for delay assuming 100% compliance. A separate 24-leg-session video dataset gives 2.203 and 2.233. Held-out count errors are 23.9% and 22.4%. Observed behavior reduces delay from 16.606 to 15.996 pedestrian-hours in the manual data and from 12.934 to 8.522 hours in video.

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Publication Details

Journal
Findings
Published
2026-08-20
DOI
https://doi.org/10.32866/001c.166369
Primary Topic
Evacuation and Crowd Dynamics
Type
article
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article

Testing Pedestrian Flow and Delay Estimation from First-Actuation Latency

David Levinson
Findings
Evacuation and Crowd Dynamics
article

Testing Pedestrian Flow and Delay Estimation from First-Actuation Latency

David Levinson
article en

Abstract

Traffic signal controllers timestamp the first pedestrian actuation that requests service, but they do not count the people arriving before the Walk indication. We test a theory-based estimator that treats the time from flashing-don’t-walk onset to first actuation as a censored waiting-time observation from a Poisson arrival-event process. The inferred event count and delay are calibrated separately to observed pedestrian counts and observed delay. Fourteen manually observed cases give mean adjustments of 2.202 for counts and 2.176 for delay assuming 100% compliance. A separate 24-leg-session video dataset gives 2.203 and 2.233. Held-out count errors are 23.9% and 22.4%. Observed behavior reduces delay from 16.606 to 15.996 pedestrian-hours in the manual data and from 12.934 to 8.522 hours in video.

Findings
The University of Sydney (AU)
Openalex Percentile: Top 14%
Evacuation and Crowd Dynamics
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