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Title: Speed Pattern Analysis Based on Units of Information in the Proximity of Dynamic Message Signs: A Driving Simulator Study
Accession Number: 01698211
Record Type: Component
Abstract: A single unit of information is an answer to any anticipated question a motorist may ask. Such questions include: “What happened? Where? What do I do?” This study, a first of its kind, analyzes the optimum number of units of information Dynamic Message Signs (DMSs) should display to influence driver speeding behavior. Too little information may be unclear or ambiguous whereas too much may be hard to comprehend and cause drivers to slow down. A 155-mi virtual road network of the Baltimore-Washington Parkway (MD-295) in Maryland was developed for use with a high-fidelity driving simulator, and 65 participants took part in the study. Six scenarios featured DMSs displaying 2-7 units of information, interchangeably, and a total of 296 simulation sessions were conducted. Mean speeds are calculated over five different phases: the initial speed area, visible area, readable area, lost legibility area and post DMS area. ANOVA and post-hoc analysis showed that participants tend to accelerate as soon as they lose sight of the DMS displaying 2-3 units of information and continue to do so after they pass the DMS. Interestingly, an ordinary least squares (OLS) regression analysis reveals that participants older than 55 slow down the most when they encounter DMSs with 6-7 units of information. Participants in the age group of 26-35 tend to increase speeds, especially when a DMS displays 2-4 units of information, which suggests that the comprehension time is low when there are fewer number of units of information on a DMS.
Supplemental Notes: This paper was sponsored by TRB committee AND20 Standing Committee on User Information Systems.
Report/Paper Numbers: 19-01085
Language: English
Corporate Authors: Transportation Research BoardAuthors: Banerjee, SnehanshuJeihani, MansourehKhadem, Nashid KBrown, Danny DPagination: 7p
Publication Date: 2019
Conference:
Transportation Research Board 98th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References
(26)
; Tables
TRT Terms: Identifier Terms: Subject Areas: Highways; Operations and Traffic Management; Safety and Human Factors
Source Data: Transportation Research Board Annual Meeting 2019 Paper #19-01085
Files: TRIS, TRB, ATRI
Created Date: Dec 7 2018 9:48AM
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