Risk Factors Re-evaluation with Bayesian Network Using SHRP 2 Data

Simple item page
dc.contributor.authorHan, Shuen
dc.contributor.authorGuo, Fengen
dc.date.accessioned2024-09-11T17:21:58Zen
dc.date.available2024-09-11T17:21:58Zen
dc.date.issued2024-09-11en
dc.description.abstractTraffic safety is a complex system influenced by numerous factors, including human behavior, road design, vehicle technology, and environmental conditions. Each of these factors can impact the safety of the transportation system in unique ways, and all factors could interact with each other in complex ways. The goal of this study was to evaluate the joint contribution of multiple risk factors to traffic safety by examining the interactions among different factors. This study considered 24 potential risk factors that reflect different perspectives in the analysis, including driver demographics, driving behavior, environmental conditions, road characteristics, traffic context, vehicle kinematics within a 5-second window of each event, and cell phone ban policies. There were two aspects to this study: first, it explored the relationships between traffic safety risk factors using unsupervised learning models with data from the Second Strategic Highway Research Program Naturalistic Driving Study. Second, with supervised learning models, the study developed a robust data-driven Bayesian network model, evaluated impacting risk factors, quantified their corresponding importance on driving risk, and consequently identified high-risk scenarios.en
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttps://hdl.handle.net/10919/121117en
dc.language.isoenen
dc.publisherNational Surface Transportation Safety Center for Excellenceen
dc.relation.ispartofseriesNSTSCE; 24-UD-159en
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectcrash risken
dc.subjectBayesianen
dc.subjectSHRP 2en
dc.subjectunsupervised learningen
dc.subjectsupervised learningen
dc.subjecttraffic safetyen
dc.titleRisk Factors Re-evaluation with Bayesian Network Using SHRP 2 Dataen
dc.typeTechnical reporten
dc.type.dcmitypeTexten

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
NSTSCE_BayesianNetwork_Final.pdf
Size:
1.33 MB
Format:
Adobe Portable Document Format
Description:
Report
Download
License bundle
Now showing 1 - 1 of 1
Name:
license.txt
Size:
1.5 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

National Surface Transportation Safety Center for Excellence Reports (NSTSCE, VTTI)