TRB Pubsindex
Text Size:

Title:

EFFECT OF MIDBLOCK ACCESS POINTS ON TRAFFIC ACCIDENTS ON STATE HIGHWAYS IN NEW JERSEY

Accession Number:

00771215

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Find a library where document is available


Order URL: http://worldcat.org/isbn/0309070651

Abstract:

The focus of this research was to conduct a statistical analysis of the effect of various traffic, geometric, and environmental factors on accident rates on New Jersey State highways. The main concern was the effect of midblock access points on accident rates. To identify the characteristics of access-related accidents (section accidents), a comparison study was conducted to investigate the effect of various factors on both section accidents and signalized intersection accidents. Access density was found to be a contributing factor to the occurrence of accidents, but it was not the only factor. About 30% of accidents on the study routes in New Jersey are expected to occur between signalized intersections, whereas 7% of the accidents are due to maneuvering to and from access points. Accident rates for sections between signalized intersections were better represented by a log-normal distribution than by a normal distribution. The effect of single factors such as access density, median, shoulder, number of lanes, and speed limits on accident rates was also investigated with the Kruskal-Wallis test. Of the above factors, only the number of lanes was found to be nonsignificant to accident rates. Two regression models for four lanes with shoulder, two lanes without shoulder, and four lanes with median were found to have sufficiently good R-squared values and their use is recommended with caution. Hourly and subhourly traffic flow data, average operating speed and variance data, and law enforcement data will further improve the analysis of accident data.

Supplemental Notes:

This paper appears in Transportation Research Record No. 1665, Statistical Methods in Transportation and Safety Data Analysis for Highway Geometry, Design, and Operations.

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Mouskos, K C
Sun, Weichen
Chien, Steven I-Jy
Eisdorfer, A
Qu, T

Pagination:

p. 75-83

Publication Date:

1999

Serial:

Transportation Research Record

Issue Number: 1665
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

0309070651

Features:

Figures (2) ; References (15) ; Tables (4)

Geographic Terms:

Subject Areas:

Data and Information Technology; Design; Highways; Safety and Human Factors; Security and Emergencies; I82: Accidents and Transport Infrastructure

Files:

TRIS, TRB, ATRI

Created Date:

Oct 22 1999 12:00AM

More Articles from this Serial Issue: