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Title:

Predicting Drivers Decision in Dilemma Zone in a Driving Simulator Environment Using Canonical Discriminant Analysis

Accession Number:

01518263

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

Several research efforts attempted to address dilemma zone (DZ) issues to improve safety at high speed signalized intersections. Some efforts focused on modeling driving behavior in DZ, while others focused on the development of DZ protection algorithms. This research implements a driver simulation experimental design to collect multiple driver characteristics and ultimate decisions within the DZ. The rationale behind this study is that: (1) if driver’s stopping decision can be predicted within the DZ (based on time to intersection (TTI), vehicle speed, acceleration, etc.) then the DZ-protection algorithm can use this information to make better phase control decision, and (2) if the driver’s stopping decision can be predicted early enough during the yellow interval, then all-red extension can be applied to address drivers that will run the red light. Canonical discriminant analysis was used to develop highly accurate prediction function for drivers stopping decisions. The results suggests that it is better to predict the driver’s stopping decision after the onset of yellow, and using all-red extension to eliminate the potential of right-angle crashes.

Supplemental Notes:

This paper was sponsored by TRB committee AHB25 Traffic Signal Systems.

Monograph Accession #:

01503729

Report/Paper Numbers:

14-5439

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Machiani, Sahar Ghanipoor

ORCID 0000-0002-7314-2689

Abbas, Montasir

Pagination:

12p

Publication Date:

2014

Conference:

Transportation Research Board 93rd Annual Meeting

Location: Washington DC
Date: 2014-1-12 to 2014-1-16
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; Photos; References; Tables

Subject Areas:

Highways; Operations and Traffic Management; I73: Traffic Control

Source Data:

Transportation Research Board Annual Meeting 2014 Paper #14-5439

Files:

TRIS, TRB, ATRI

Created Date:

Jan 27 2014 3:54PM