Effects of roadway factors and demographic characteristics on drivers’ perceived complexity of simulated roadway videos

F. Atiyya Shaw; Aaron T. Greenwood; Jong In Bae; Gregory M. Corso; Michael O. Rodgers; Michael P. Hunter

doi:10.1080/19427867.2018.1492220

Effects of roadway factors and demographic characteristics on drivers’ perceived complexity of simulated roadway videos

F. Atiyya Shaw, Aaron T. Greenwood, Jong In Bae, Gregory M. Corso, Michael O. Rodgers, Michael P. Hunter

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Abstract

This study examined drivers’ perceived complexity of simulated roadway videos using a full factorial experimental design that featured high and low levels of five roadway factors: (1) work zone treatment, (2) traffic, (3) roadway objects, (4) lane configuration, and (5) urban/rural environments. Results indicated that increased traffic had the greatest effect on perceived complexity with urban (vs. rural) environments having the smallest effect. Segmented demographic models for gender, driving frequency, and driving experience revealed that drivers perceive roadway factors–such as traffic, lane configuration, and roadway objects–differently depending on their demographic characteristics. This finding may shed light on performance differences between demographic groups. This study is also intended to inform the design of simulated and naturalistic studies, for which factorial experiments, such as the one executed here, would be time and resource prohibitive. Finally, these findings may shape behavioral and context sensitive modifications for today’s rapidly evolving transportation systems.

Original language	English
Pages (from-to)	589-598
Number of pages	10
Journal	Transportation Letters
Volume	11
Issue number	10
DOIs	https://doi.org/10.1080/19427867.2018.1492220
State	Published - Nov 11 2019
Externally published	Yes

Funding

This work was supported by the Georgia Department of Transportation [FHWA-GA-16-1227]; National Science Foundation: [DGE 1148903 & 1650044]; and the National Center for Transportation Systems Productivity and Management, a USDOT Tier 1 University Transportation Center. This work was sponsored by the Georgia Department of Transportation (GDOT) and the National Center for Transportation Systems Productivity and Management (NCTSPM). Atiyya Shaw and Aaron Greenwood were funded under National Science Foundation (NSF) Graduate Research Fellowships for portions of this work, and this material is based upon work supported by the NSF Graduate Research Fellowship Program: [Grants numbers DGE-1148903 and DGE-1650044]. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of GDOT, NCTSPM, or the NSF. This paper does not constitute a standard, specification, or regulation. The comments of two anonymous reviewers have improved this paper.

Funders	Funder number
National Center for Transportation Systems Productivity and Management
USDOT Tier 1 University Transportation Center	DGE-1650044
National Science Foundation	DGE-1148903, 1650044
Georgia Department of Transportation	FHWA-GA-16-1227

Keywords

demographic characteristics
driver performance
driving simulator
Perception
roadway complexity
sociodemographic factors

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1080/19427867.2018.1492220

Cite this

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title = "Effects of roadway factors and demographic characteristics on drivers{\textquoteright} perceived complexity of simulated roadway videos",

abstract = "This study examined drivers{\textquoteright} perceived complexity of simulated roadway videos using a full factorial experimental design that featured high and low levels of five roadway factors: (1) work zone treatment, (2) traffic, (3) roadway objects, (4) lane configuration, and (5) urban/rural environments. Results indicated that increased traffic had the greatest effect on perceived complexity with urban (vs. rural) environments having the smallest effect. Segmented demographic models for gender, driving frequency, and driving experience revealed that drivers perceive roadway factors–such as traffic, lane configuration, and roadway objects–differently depending on their demographic characteristics. This finding may shed light on performance differences between demographic groups. This study is also intended to inform the design of simulated and naturalistic studies, for which factorial experiments, such as the one executed here, would be time and resource prohibitive. Finally, these findings may shape behavioral and context sensitive modifications for today{\textquoteright}s rapidly evolving transportation systems.",

keywords = "demographic characteristics, driver performance, driving simulator, Perception, roadway complexity, sociodemographic factors",

author = "Shaw, {F. Atiyya} and Greenwood, {Aaron T.} and Bae, {Jong In} and Corso, {Gregory M.} and Rodgers, {Michael O.} and Hunter, {Michael P.}",

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AU - Rodgers, Michael O.

AU - Hunter, Michael P.

PY - 2019/11/11

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Effects of roadway factors and demographic characteristics on drivers’ perceived complexity of simulated roadway videos

Abstract

Funding

Keywords

UN SDGs

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