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First published online January 1, 2011

Do Advance Yield Markings Increase Safe Driver Behaviors at Unsignalized, Marked Midblock Crosswalks?: Driving Simulator Study

Abstract

In the United States, 78% of pedestrian crashes occur at noninter-section crossings. As a result, unsignalized, marked midblock crosswalks are prime targets for remediation. Many of these crashes occur under sight-limited conditions in which the view of critical information by the driver or pedestrian is obstructed by a vehicle stopped in an adjacent travel or parking lane on the near side of the crosswalk. Study of such a situation on the open road is much too risky, but study of the situation in a driving simulator is not. This paper describes the development of scenarios with sight limitations to compare potential vehicle–pedestrian conflicts on a driving simulator under conditions with two different types of pavement markings. Under the first condition, advance yield markings and symbol signs (prompts) that indicated “yield here to pedestrians” were used to warn drivers of pedestrians at marked, midblock crosswalks. Under the second condition, standard crosswalk treatments and prompts were used to warn drivers of these hazards. Actual crashes as well as the drivers’ point of gaze were measured to determine if the drivers approaching a marked midblock crosswalk looked for pedestrians in the crosswalk more frequently and sooner in high-risk scenarios when advance yield markings and prompts were present than when standard markings and prompts were used. Fewer crashes were found to occur with advance yield markings. Drivers were also found to look for pedestrians much more frequently and much sooner with advance yield markings. The advantages and limitations of the use of driving simulation to study problems such as these are discussed.

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References

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Article first published online: January 1, 2011
Issue published: January 2011

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© 2011 National Academy of Sciences.
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Authors

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Radhameris A. Gómez
Human Performance Laboratory, Department of Civil and Environmental Engineering; University of Massachusetts, Amherst, Amherst, MA 01003.
Siby Samuel
Human Performance Laboratory, Department of Mechanical and Industrial Engineering; University of Massachusetts, Amherst, Amherst, MA 01003.
Luis Roman Gerardino
Human Performance Laboratory, Department of Mechanical and Industrial Engineering; University of Massachusetts, Amherst, Amherst, MA 01003.
Matthew R. E. Romoser
Human Performance Laboratory, Department of Mechanical and Industrial Engineering; University of Massachusetts, Amherst, Amherst, MA 01003.
John Collura
Department of Civil and Environmental Engineering; and University of Massachusetts, Amherst, Amherst, MA 01003.
Michael Knodler
Department of Civil and Environmental Engineering; and University of Massachusetts, Amherst, Amherst, MA 01003.
Donald L. Fisher
Department of Mechanical and Industrial Engineering, University of Massachusetts, Amherst, Amherst, MA 01003.

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