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Title:

Capturing Driver Behavior by Measuring Time Gap in Freeway Work Zones

Accession Number:

01628735

Record Type:

Component

Abstract:

Quantifying the impact that a work zone will have on mobility is currently evaluated in driver models used in traffic microsimulation. It is hypothesized in this paper that the car-following behavior specific to freeway work zones is dissimilar to non-work zone conditions. The objective of this study is to use survey techniques to augment the model calibrations to improve the understanding of car-following behavior in a work zone. An Instrumented Research Vehicle (IRV) and a survey are used to capture car-following driver behavior in a work zone. The car-following behavior is classified for each individual driver by his or her mean time gap. The authors demonstrate that the macroscopic effects for the overall driver behavior in terms of time gap increase due to the work zone only during congestion. At the individual level, a large proportion (or 75% of the sample) increased their time gap in the work zone. A decision tree is used to identify which stated behaviors are important in describing the quantitative data collected in the work zone during congestion. The most important variable identified was driver experience. A clear distinction is shown between experienced drivers in both the non-work zone and the work zone with the less experienced drivers having an overall shorter time gap. The findings presented in this paper can be used to improve the performance of driver behavior models specific to work zones. This in return will more acutely forecast the impact a work zone design has on capacity during congestion.

Supplemental Notes:

This paper was sponsored by TRB committee AHB55 Standing Committee on Work Zone Traffic Control.

Monograph Accession #:

01618707

Report/Paper Numbers:

17-04377

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Lochrane, Taylor W P
Al-Deek, Haitham
Jiang, Ximiao
Dailey, Daniel J
Shurbutt, Jim

Pagination:

23p

Publication Date:

2017

Conference:

Transportation Research Board 96th Annual Meeting

Location: Washington DC, United States
Date: 2017-1-8 to 2017-1-12
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Subject Areas:

Highways; Operations and Traffic Management; Safety and Human Factors

Source Data:

Transportation Research Board Annual Meeting 2017 Paper #17-04377

Files:

TRIS, TRB, ATRI

Created Date:

Dec 8 2016 11:40AM