Abstract:
Traffic data collection under heterogeneous
traffic conditions is one of the major challenges faced by
highway agencies, policy makers as well as researchers. The
Infrared Traffic Logger is a highly advanced, non-intrusive
traffic surveillance system which can detect different classes of
vehicles based on wheel base size and axle spacing. The
fundamental macroscopic traffic parameters: flow, speed and
composition under different traffic conditions and weather
condition were checked against to base line condition. It was
found that overall accuracy of vehicle counts from infrared
traffic logger is more than 90% except for two-wheelers under
heavy traffic condition and for heavy vehicles under medium
and heavy traffic condition. Speed detection accuracy of
infrared traffic logger also more than 90% and accuracy of
vehicle classification also more than 95% except multi axle
vehicles. Multi axle vehicles are misclassify as number of twoaxle
vehicles under medium or high traffic conditions.
Correction factors are suggested to adjust the accuracy level for
over counting and under counting situations.
