TRB Pubsindex
Text Size:
x

« Prev Next »

Return to Results | New Search

Bookmark and Share

Title:

Investigating and Modeling the Illegal U-Turn Violations at Medians of Limited Access Facilities

Accession Number:

01660267

Record Type:

Component

Availability:

Find a library where document is available


Order URL: http://worldcat.org/issn/03611981

Abstract:

Illegal U-turns on freeways and toll roads are risky maneuvers that sometimes result in the turning vehicles causing various types of collisions or disturbances to approaching traffic. These illegal U-turn maneuvers can occur at traversable grass medians and emergency crossovers. Limited literature was found regarding the impact of illegal U-turns on these facilities. Therefore, to understand the roadway and median characteristics that could influence drivers’ propensity to commit illegal U-turns, a sequential modeling methodology was adopted. This methodology combined a Poisson regression model with a Least Absolute Shrinkage and Selection Operator (LASSO) regression procedure to predict the cited violations at traversable median segments. Additionally, a logistic regression model was developed to predict the probability of a cited violation at official use only emergency crossovers. These models included illegal U-turn citations and crashes for the Orlando and Miami metropolitan areas in Florida from 2011 to 2016. The findings indicated that the average distance between access points, median width, speed limit, segment length, and distance to nearest segment were significant in predicting cited violations at traversable medians. Furthermore, the distance to the nearest interchange, distance to the nearest adjacent crossover, and median width were significant in predicting the probability of a cited violation occurring at an emergency crossover. This study helps agencies to predict the locations of illegal U-turn violations and to prioritize roadways for possible treatment to minimize the potential risk of head-on or other collisions due to illegal U-turn events.

Report/Paper Numbers:

18-03095

Language:

English

Authors:

Al-Sahili, Omar
Al-Deek, Haitham
Sandt, Adrian
Mantzaris, Alexander V
Rogers, John H
Faruk, Md Omar

Pagination:

pp 73-84

Publication Date:

2018

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Volume: 2672
Issue Number: 14
Publisher: Sage Publications, Incorporated
ISSN: 0361-1981
EISSN: 2169-4052
Serial URL: http://journals.sagepub.com/home/trr

Media Type:

Print

Features:

Figures (5) ; Maps; Photos; References (37) ; Tables (3)

Subject Areas:

Highways; Operations and Traffic Management; Safety and Human Factors

Files:

TRIS, TRB, ATRI

Created Date:

Jan 8 2018 10:45AM

More Articles from this Serial Issue: