| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6966905 | Accident Analysis & Prevention | 2013 | 9 Pages |
Abstract
⺠We investigate uncertainty in annual pedestrian crossing exposure estimates. ⺠We test estimates made by expanding short-term counts using temporal factors. ⺠We use a database from video review involving over 350,000 observations. ⺠Using local vehicle factors, typical errors are â53% to 50% (mean â2%). ⺠Using external pedestrian factors, typical errors are â62% to 170% (mean 27%).
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Authors
Craig Milligan, Rob Poapst, Jeannette Montufar,