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Title:

Estimation of Message Reading Time for Variable Message Signs

Accession Number:

01126707

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

Variable message sign (VMS) is one of the major components of advanced traffic information systems (ATIS) and is used to provide drivers with real-time traffic information including incidents, congestion, and detours. It is essential that the scheme of VMS message phase and duration should be designed with proper consideration of driver's message reading time, which will depend on various causal factors, such as the number and length of VMS messages, driver's travel speed, and driver characteristics. In this study, extensive field experiments were conducted using specially manufactured portable VMS to obtain driver's message reading time with respect these causal factors. A 500-meter tangent segment having 4 lanes (2 lanes for each direction) was selected for field experiments at the Hanyang University in Korea. Data collection and analysis were undertaken to explore the relationships between the driver's message reading time and various causal factors. Regression modeling techniques were applied to develop an estimation model for driver's message reading time. The proposed methodology for determining VMS message reading time would be greatly useful for ITS designers and planners as they make decisions concerning optimum VMS message phase and duration.

Monograph Accession #:

01120148

Report/Paper Numbers:

09-2918

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Kim, Taehyung
Oh, Cheol
Yeon, Ji Youn
Kim, Sungmin

Pagination:

15p

Publication Date:

2009

Conference:

Transportation Research Board 88th Annual Meeting

Location: Washington DC, United States
Date: 2009-1-11 to 2009-1-15
Sponsors: Transportation Research Board

Media Type:

DVD

Features:

Figures; Photos; References (7) ; Tables (4)

Subject Areas:

Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning

Source Data:

Transportation Research Board Annual Meeting 2009 Paper #09-2918

Files:

TRIS, TRB

Created Date:

Jan 30 2009 7:18PM