| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6966276 | Accident Analysis & Prevention | 2013 | 6 Pages |
Abstract
⺠Bayesian Networks for identifying the critical power two wheeler (PTW) driving patterns. ⺠High resolution driving data (100 Hz) from a naturalistic PTW driving experiment are used. ⺠The prevailing actions at the beginning and during critical incidents are identified. ⺠The methodology efficiently relates the observed actions with different types of incidents. ⺠The proposed modeling may lead to efficient analysis of the naturalistic data.
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Authors
Eleni I. Vlahogianni, George Yannis, John C. Golias,