The Phase II will involve large scale field-testing of the night vision system in a construction zone to determine its effectiveness with regard to improvement in driving conditions, traffic flow, improved safety, and motorists' perception of the nighttime vision system. A stretch of construction barriers (approximately four miles) will be equipped with the new lighting system followed by sections of unlighted barriers. When a lighted area is followed by an existing (unlighted) segment, and then followed by a lighted area, motorists will be able to compare the effectiveness of the new technology against passive reflectors that are commonly used along the barriers. Four primary methods that have been cited in the literature to study human factors as they relate to traffic accidents and safety are: accident statistics, observational studies, simulated driver studies, and self-report measures. Accident statistics will be determined through data bank of Arkansas State Police. Average speed and traffic flow will be measured electronically for the lighted and unlighted area during the period of intervention. Approximately hundred students from different age and gender groups will be recruited from the university to drive through the test zone at night and participate in a written survey. Subjects will be asked for their perceptions concerning any benefit or decrement to traffic safety due to the addition of barrier lighting, and the degree to which they rely on the visual cues provided by the lights in making driving decisions, as compared with other types of cues. Qualitative data will also be gathered through a questionnaire from the highway travelers who commonly travel in that construction area. They will be contacted to receive their feedback through a questionnaire and an electronic sign will be posted to alert them to the survey. Other methods to be used are: UALR's FacFocus service to receive faculty and student input electronically from those who travel in that area; input from highway construction worker and highway patrol officers through a questionnaire; and possibly use of an 800 number for travelers to call in their comments to a voice recorder. Dr. John Faucett, Associate Professor of Psychology at University of Arkansas at Little Rock, will assist the PI in developing the assessment instruments and in the evaluation of data.


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    Titel :

    Assisted Night Vision for Motorists in Highway Construction Zones: Phase II


    Beteiligte:
    H. C. Patangia (Autor:in)

    Erscheinungsdatum :

    2007


    Format / Umfang :

    64 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch




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