TY - JOUR
T1 - Analysis of nighttime driver behavior and pavement marking effects using fuzzy inference system
AU - Lee, Dongmin
AU - Donnell, Eric T.
PY - 2007
Y1 - 2007
N2 - Nighttime driving behavior differs from that during the day because of differences in the driver's field of view. At night, drivers must rely on their vehicle headlamps to illuminate the roadway. It is essential then that the roadway delineation system provide the appropriate lane guidance to motorists when navigating a roadway, particularly one that is curvilinear. A nighttime driving experiment was conducted to collect user perception data of various pavement markings and markers applied to horizontal curves. The effectiveness of each pavement marking was rated using a subjective scale. A fuzzy inference system was used to analyze the subjective pavement marking and marker evaluation ratings provided by the research participants. Pavement marking effectiveness, horizontal curve sharpness, and driver age were used to develop a fuzzy index for nighttime driving condition (FIND). Based on the FIND, the results indicate that drivers prefer that a combination of treatments be applied to horizontal curves rather than only a single treatment. A bright centerline, bright edgeline, and bright retroreflective raised pavement maker combination treatment, and a bright centerline and bright edgeline combination treatment, resulted in the highest FIND score. A bright, 8-in. (20.3 cm) edgeline, applied alone to a horizontal curve, scored the lowest FIND.
AB - Nighttime driving behavior differs from that during the day because of differences in the driver's field of view. At night, drivers must rely on their vehicle headlamps to illuminate the roadway. It is essential then that the roadway delineation system provide the appropriate lane guidance to motorists when navigating a roadway, particularly one that is curvilinear. A nighttime driving experiment was conducted to collect user perception data of various pavement markings and markers applied to horizontal curves. The effectiveness of each pavement marking was rated using a subjective scale. A fuzzy inference system was used to analyze the subjective pavement marking and marker evaluation ratings provided by the research participants. Pavement marking effectiveness, horizontal curve sharpness, and driver age were used to develop a fuzzy index for nighttime driving condition (FIND). Based on the FIND, the results indicate that drivers prefer that a combination of treatments be applied to horizontal curves rather than only a single treatment. A bright centerline, bright edgeline, and bright retroreflective raised pavement maker combination treatment, and a bright centerline and bright edgeline combination treatment, resulted in the highest FIND score. A bright, 8-in. (20.3 cm) edgeline, applied alone to a horizontal curve, scored the lowest FIND.
KW - Driver behavior
KW - Fuzzy sets
KW - Pavement markings
KW - Traffic safety
UR - http://www.scopus.com/inward/record.url?scp=34247217519&partnerID=8YFLogxK
U2 - 10.1061/(ASCE)0887-3801(2007)21:3(200)
DO - 10.1061/(ASCE)0887-3801(2007)21:3(200)
M3 - Article
AN - SCOPUS:34247217519
SN - 0887-3801
VL - 21
SP - 200
EP - 210
JO - Journal of Computing in Civil Engineering
JF - Journal of Computing in Civil Engineering
IS - 3
ER -