Driver Performance and Behavior in Adverse Weather Conditions: An Investigation Using the SHRP2 Naturalistic Driving Study Data—Phase 2

Ahmed, Mohamed; Ghasemzadeh, Ali; Hammit, Britton E.; Khan, Nasim; Das, Anik; Ali, Elhashemi; Young, Rhonda; Eldeeb, Hesham; University of Wyoming. Dept. of Civil and Architectural Engineering; Wyoming. Dept. of Transportation

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Driver Performance and Behavior in Adverse Weather Conditions: An Investigation Using the SHRP2 Naturalistic Driving Study Data—Phase 2

2018-02-01
By Ahmed, Mohamed ; Ghasemzadeh, Ali ; Hammit, Britton E. ; ...

[PDF-3.73 MB]

English

Details Supporting Files You May Also Like

Details:

Alternative Title:

SHRP2 Implementation Assistance Program (IAP)—Round 4 Concept to Countermeasures—Research to Deployment Using the SHRP2 Safety Data
Creators:

Ahmed, Mohamed ; Ghasemzadeh, Ali ; Hammit, Britton E. ; Khan, Nasim ; Das, Anik ; ... More +

Ahmed, Mohamed ; Ghasemzadeh, Ali ; Hammit, Britton E. ; Khan, Nasim ; Das, Anik ; Ali, Elhashemi ; Young, Rhonda ; Eldeeb, Hesham Less -
Corporate Creators:

University of Wyoming. Dept. of Civil and Architectural Engineering ; Wyoming. Dept. of Transportation

University of Wyoming. Dept. of Civil and Architectural Engineering ; Wyoming. Dept. of Transportation Less -
Corporate Contributors:

United States. Federal Highway Administration
Subject/TRT Terms:

[+]

Adverse Weather Conditions CART Classification Tree Countermeasures Driver Behavior And Performance Human Factors In Accidents Interstate Transportation Lane Keeping Naturalistic Driving Study Ordinal Logistic Regression Safety Engineering SHRP2 Speed Selection Transportation Safety Variable Speed Limit Weather Conditions Wyoming
Publication/ Report Number:

WY-18/05F
Resource Type:

Tech Report
Geographical Coverage:

Wyoming
Corporate Publisher:

Wyoming. Dept. of Transportation ; University of Wyoming

Wyoming. Dept. of Transportation ; University of Wyoming Less -
NTL Classification:

NTL-HIGHWAY/ROAD TRANSPORTATION-HIGHWAY/ROAD TRANSPORTATION
Abstract:

Ahmed (orcid.org/0000-0002-1921-0724); Ghasemzadeh (orcid.org/0000-0003-1232-251X); Hammit (orcid.org/0000-0002-8859-9075); Khan (orcid.org/0000-0001-5996-091X); Das (orcid.org/0000-0003-4674-5334); Ali (orcid.org/0000-0001-7643-7143); Eldeeb (orcid.org/0000-0001-9669-5991) The impact of adverse weather conditions on transportation operation and safety is the focus of many studies; however, comprehensive research detailing the differences in driving behavior and performance during adverse conditions is limited. Many previous studies utilized aggregate traffic and weather data (e.g., average speed, headway, and global weather information) to formulate conclusions about the weather impact on network operation and safety; therefore, research into specific factors associated with driver performance and behavior are notably absent. A novel approach, presented in this report, can fill the gap in previous studies by considering disaggregate trajectory-level data available through the SHRP2 Naturalistic Driving Study and Roadway Information Database. Parametric and non-parametric models were utilized to better understand different behavioral factors including speed selection, car following and lane keeping in adverse weather conditions. The purpose of this study was to gather insights into driver behavior and performance in different weather conditions, such that efficient logic can be implemented to introduce a realistic Variable Speed Limit system, aimed at maximizing speed compliance and reducing speed variations. This study provides valuable information related to drivers’ interaction with real-time changes in roadway and weather conditions, leading to a better understanding of the effectiveness of operational countermeasures.
Format:

PDF
Funding:

RS07216
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:32dc0edb3c927a3efabb743cba6b4236594b1cc5cb8e8ae48256a72f0abbe032
Download URL:

https://rosap.ntl.bts.gov/view/dot/35664/dot_35664_DS1.pdf
File Type:

	1805f_RS07216_SHRP_II_Metadata.pdf	pdf
	RS07216%20SHRP2.pdf	pdf

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