National Academies Press: OpenBook
Page ix
Suggested Citation:"ABSTRACT." Transportation Research Board. 1998. Developing Measures of Effectiveness for Truck Weight Enforcement Activities: Final Report. Washington, DC: The National Academies Press. doi: 10.17226/6354.
Page R9

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ABSTRACT This research addressed the determination of what is actually accomplished as the result of buck weight enforcement efforts. One project objective was to develop and vali- date truck weight enforcement measures of effectiveness (M.O.E.s). Traditionally applied measures, e.g., numbers of trucks weighed and citations issued, have simply provided indications of enforcement effort. These measures failed to provide results in terms of real enforcement objectives, e.g., to deter overweight truck and minimize pavement wear and tear. M.O.E.s were developed in this project via a series of analytical procedures. They were subsequently validated in a comprehensive four-state field evaluation. Matched WIM data sets, collected under controlled baseline and enforcement conditions, were analyzed to determine the sensitivity of candidate M.O.E.s to actual enforcement activity. Data collection conditions were controlled in order to avoid contamination from hour-of- day, day-of-week, and seasonal effects. The following M.O.E.s were validated on the ba- sis of their demonstrated sensitivity to truck weight enforcement objectives and the presence of enforcement activity: (1) Severity of Overweight Violations, (2) Proportion of Over- weight Trucks, (3) Average ESALs, (4) Excess ESAL`s, and (5) Bridge Formula Violations. These measures are sensitive to legal load-limit compliance objectives of truck weight en- forcement procedures as well as the potential for overweight trucks to produce pavement deterioration. A second project objective was to document findings in a user guide formatted to explain appropriate data collection methods, how to apply these methods, and how to inter- pret their results. A software User Guide was developed which statistically compares cal- culated M.O.E.s between observed enforcement conditions. It also conducts an automated pavement design life analysis estimating, the theoretical pavement-life effect resulting hom Me observed enforcement activity. v

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