Analysis of nighttime driver behavior and pavement marking effects using fuzzy inference system

Dongmin Lee, Eric T. Donnell

Research output: Contribution to journalArticlepeer-review

14 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)200-210
Number of pages11
JournalJournal of Computing in Civil Engineering
Issue number3
StatePublished - 2007

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Computer Science Applications


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