Using trajectory-level SHRP2 naturalistic driving data for investigating driver lane-keeping ability in fog: An association rules mining approach-Reference-Cited by-同舟云学术

Using trajectory-level SHRP2 naturalistic driving data for investigating driver lane-keeping ability in fog: An association rules mining approach

Published:2019-08 Issue: Volume:129 Page:250-262
ISSN:0001-4575
Container-title:Accident Analysis & Prevention
language:en
Short-container-title:Accident Analysis & Prevention

Author:

Das Anik^ORCID,Ahmed Mohamed M.^ORCID,Ghasemzadeh Ali^ORCID

Funder

Federal Highway Administration

Publisher

Elsevier BV

Subject

Public Health, Environmental and Occupational Health,Safety, Risk, Reliability and Quality,Human Factors and Ergonomics

Reference66 articles.

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5. Driver Performance and Behavior in Adverse Weather Conditions: An Investigation Using the SHRP2 Naturalistic Driving Study Data-Phase 2. Final Rep. WY-18/05F, Wyoming Dep. Transp.;Ahmed,2018

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