Evaluation of Intersection Collision Warning Systems in Minnesota

Hallmark, Shauna L.; Hawkins, Neal; Thapa, Raju; Knickerbocker, Skylar; Gaspar, John

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Evaluation of Intersection Collision Warning Systems in Minnesota

Supporting Files

2017-10-01
By Hallmark, Shauna L. ; Hawkins, Neal ; Thapa, Raju

File Language:

English

Details

Creators:

Hallmark, Shauna L. ; Hawkins, Neal ; Thapa, Raju ; Knickerbocker, Skylar ; Gaspar, John
Corporate Creators:

Iowa State University. Center for Transportation Research and Education
Subject/TRT Terms:
Publication/ Report Number:

MN/RC 2017-38
Resource Type:

Tech Report
Geographical Coverage:

United States
Corporate Publisher:

Minnesota. Dept. of Transportation. Research Services & Library
Description:

The Minnesota Department of Transportation (MnDOT) is investing significant resources in intersection collision warning systems (ICWS) based on early indications of effectiveness. However, the effectiveness is not well documented, and negative changes in driver behavior at treatment intersections may affect drivers overall, resulting in a spillover effect. Moreover, the effectiveness of ICWS may decrease if drivers do not perceive a change in the dynamic messages. Therefore, the objectives of this research were to (1) evaluate driver behavior at mainline and stop controlled approaches for intersections with and without ICWS and (2) assess the traffic volume range and limits where the system is nearly continuously activated and is likely to lose its effectiveness. Video data were collected at five treatment and corresponding control intersections, and various metrics were used to compare changes in driver behavior. In general, no negative behaviors were noted for either treatment or control intersections.
Format:

PDF
Funding:

(C) 99004 (WO) 16
Download URL:

https://rosap.ntl.bts.gov/view/dot/34934/dot_34934_DS1.pdf
File Type:

[PDF - 3.67 MB]
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha-512:873c036d47bbea0e4b71951eac6f42f3ad11c0d52cca37ba390121154a37ab110244ce98d282beb42f82192cfeca8079baa5424d77371a6fef8fa2c1432dbd8c

201738.pdf

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File Language:

English

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